Nouf Al-Harby | ANOVA | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Nouf Al-Harby
Qassim University, Saudi Arabia

Nouf Al-Harby
Affiliation Qassim University
Country Saudi Arabia
Scopus ID 56989892700
Documents 39
Citations 954
h-index 16
Subject Area ANOVA
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-4705-890X

The Best Researcher Award recognizes scholarly excellence, sustained publication activity, and measurable research influence within specialized scientific domains. Nouf Al-Harby of Qassim University has established a research profile characterized by contributions to adsorption science, environmental remediation, material chemistry, and statistical optimization methodologies. The researcher’s publication portfolio demonstrates the application of analytical approaches such as analysis of variance (ANOVA), response surface methodology, kinetic modeling, and isotherm analysis to address contemporary environmental and industrial challenges.[1]

Abstract

Nouf Al-Harby has contributed to the advancement of environmental and materials research through studies focused on adsorption technologies, pollutant removal, hydrogel engineering, biochar composites, and statistical process optimization. Research outputs demonstrate methodological rigor and interdisciplinary application, supporting sustainable solutions for water purification and contaminant management. The researcher’s documented scholarly productivity and citation performance indicate meaningful engagement within the scientific community.[2]

Keywords

ANOVA, Adsorption Science, Environmental Remediation, Response Surface Methodology, Water Treatment, Biochar Composites, Statistical Modeling, Material Chemistry.

Introduction

Research addressing water contamination and industrial pollutants remains a significant scientific priority. Nouf Al-Harby’s work contributes to this field through the development of innovative adsorbent materials and optimization strategies that improve contaminant removal efficiency. The integration of experimental design techniques and advanced material characterization has strengthened the practical relevance of these investigations.[3]

Research Profile

The researcher’s Scopus record includes 39 indexed documents, 954 citations, and an h-index of 16. Research activities are concentrated in environmental chemistry, adsorption technologies, materials science, and statistical analysis. Particular emphasis is placed on ANOVA-based evaluation, optimization models, and the design of sustainable materials for environmental applications.[1]

Research Contributions

  • Development of magnetic algae-derived composite materials for chromium removal.
  • Investigation of dye adsorption using modified chitosan-based materials.
  • Optimization of hydrogel systems for pharmaceutical contaminant removal.
  • Application of Box–Behnken and response surface methodologies for process improvement.
  • Advancement of sustainable adsorbents for wastewater treatment applications.

Publications

  • Magnetic algae-derived FeS0.66@GA-BC0.33 Composite for Cr(VI) Removal Optimized by Response Surface Methodology.
  • Efficient adsorption of fast green dye by chitosan modified with cyanoguanidine.
  • Adsorption of Ciprofloxacin onto CMCs/XG Hydrogel.
  • Engineering of a kaolin/SLS-functionalized biochar@β-cyclodextrin composite.
  • Histidine-conjugated chitosan as efficient adsorbent for Congo red dye elimination.

Research Impact

The documented citation record reflects sustained academic visibility and scholarly engagement. Research outputs contribute to scientific understanding of adsorption mechanisms, optimization strategies, and environmentally responsible remediation technologies. The combination of publication productivity, citation performance, and interdisciplinary relevance supports the broader impact of the research portfolio.[4]

Award Suitability

Based on available scholarly indicators, Nouf Al-Harby demonstrates characteristics commonly associated with research excellence awards, including sustained publication output, measurable citation impact, methodological innovation, and contributions to environmental sustainability. The integration of ANOVA, optimization frameworks, and advanced material development further supports recognition within international research evaluation programs.[5]

Conclusion

Nouf Al-Harby’s scholarly record reflects consistent engagement with environmental and materials research challenges through data-driven methodologies and applied scientific investigation. The researcher’s publication achievements, citation metrics, and contributions to adsorption science support consideration for recognition through the International Research Data Analysis Excellence & Awards program.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Nouf Al-Harby, Author ID 56989892700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56989892700
  2. Materials Chemistry and Physics. (2026). Magnetic algae-derived FeS0.66@GA-BC0.33 Composite for Cr(VI) Removal Optimized by Response Surface Methodology.
    https://doi.org/10.1016/j.matchemphys.2026.132792
  3. BMC Chemistry. (2026). Efficient adsorption of fast green dye by chitosan modified with cyanoguanidine.
    https://doi.org/10.1186/s13065-026-01778-1
  4. Polymers. (2026). Adsorption of Ciprofloxacin onto CMCs/XG Hydrogel.
    https://doi.org/10.3390/polym18050632
  5. RSC Advances. (2026). Engineering of a kaolin/SLS-functionalized biochar@β-cyclodextrin composite.
    https://doi.org/10.1039/D5RA08005C
  6. RSC Advances. (2026). Histidine-conjugated chitosan as efficient adsorbent for Congo red dye elimination from aqueous solution.

Shravani Yadav | Real-world Case Studies | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Shravani Yadav
Affiliation IIT Roorkee and University of Birmingham
Country India
Scopus ID 58616317600
Documents 2
Citations 3
h-index 1
Subject Area Real-world Case Studies
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0007-0906-4958

Shravani Yadav
IIT Roorkee and University of Birmingham

Shravani Yadav is an emerging researcher whose academic work focuses on water resources engineering, hydrogeology, environmental assessment, geospatial technologies, and sustainability-oriented infrastructure studies. Her research portfolio demonstrates engagement with applied case studies involving groundwater quality, dam site suitability analysis, remote sensing applications, and environmental monitoring. These contributions have been disseminated through journal publications, conference proceedings, and scholarly book chapters, reflecting interdisciplinary collaboration and practical relevance within civil and environmental engineering domains.[1]

Abstract

This article presents an academic overview of Shravani Yadav and evaluates her scholarly contributions in environmental engineering and geospatial analysis. Her research activities emphasize evidence-based assessment of groundwater systems, dam planning, wastewater sustainability, and remote sensing applications. Through interdisciplinary methodologies, her work addresses practical environmental challenges and contributes to informed decision-making in infrastructure and resource management.[2]

Keywords

Groundwater Quality, GIS Analysis, Remote Sensing, Environmental Engineering, Dam Site Assessment, Sustainability, Hydrochemical Analysis, Water Resources.

Introduction

Research addressing water security and environmental sustainability continues to receive considerable scholarly attention. Within this context, Shravani Yadav has contributed to investigations that combine engineering analysis, geospatial technologies, and environmental assessment frameworks. Her studies focus on practical applications and regional case studies that support scientific understanding of water quality, site selection, and sustainable resource utilization.[3]

Research Profile

Shravani Yadav’s research profile includes publications related to groundwater investigations, environmental monitoring, dam engineering, and wastewater treatment systems. Her work frequently integrates Geographic Information Systems (GIS), Analytical Hierarchy Process (AHP) methodologies, hydrochemical assessment techniques, and remote sensing tools to evaluate environmental conditions and support engineering planning processes.[4]

Research Contributions

  • Groundwater quality assessment using hydrochemical and geophysical techniques.
  • GIS-based dam site suitability evaluation for watershed planning.
  • Remote sensing applications for monitoring river water quality parameters.
  • Assessment of seepage simulation tools for earthen dam engineering.
  • Research on sustainability aspects of constructed wetlands for wastewater treatment.

Publications

  1. Comprehensive Groundwater Quality Assessment of a Municipal Solid Waste Site Using Vertical Electrical Soundings and Hydrochemical Analysis (2025).
  2. Assessing Dam Site Suitability Using an Integrated AHP and GIS Approach: A Case Study of the Purna Catchment in the Upper Tapi Basin, India (2025).
  3. Application of Remote Sensing and GIS Techniques for Monitoring Water Quality Parameters of River Brahmani (2023).
  4. Comprehensive Assessment of Simulation Tools for Analyzing Seepage Through Earthen Dams (2022).
  5. Sustainability of Constructed Wetlands for Wastewater Treatment (2026).

Research Impact

The available scholarly metrics indicate documented citation activity and emerging research visibility. The cited works contribute to discussions concerning groundwater management, environmental monitoring, and sustainable infrastructure development. The integration of field investigations, GIS methodologies, and engineering analysis highlights the practical orientation of the research and its relevance to contemporary environmental challenges.[5]

Award Suitability

Based on documented publications, interdisciplinary research themes, and measurable scholarly output, Shravani Yadav demonstrates characteristics commonly considered in academic recognition programs. Her contributions to real-world case studies involving environmental assessment, water resources engineering, and geospatial analysis align with the objectives of the International Research Data Analysis Excellence & Awards program. Evaluation for the Best Researcher Award may therefore consider the relevance, originality, and practical application of the presented research portfolio.[6]

Conclusion

Shravani Yadav’s academic record reflects continued engagement with environmental engineering and sustainability-focused research. Through studies involving groundwater systems, GIS-based planning, remote sensing, and wastewater treatment, her work contributes to applied scientific knowledge and supports evidence-based environmental management. The documented achievements provide a foundation for consideration within scholarly recognition initiatives.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Shravani Yadav, Author ID 58616317600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58616317600
  2. Verma, A., Singh, J., Chandra, A., Yadav, S., & Yadav, B.K. (2025). Comprehensive Groundwater Quality Assessment of a Municipal Solid Waste Site Using Vertical Electrical Soundings and Hydrochemical Analysis.
    https://doi.org/10.1061/JENMDT.EEENG-8872
  3. Yadav, S. et al. (2025). Assessing Dam Site Suitability Using an Integrated AHP and GIS Approach. Environmental and Earth Sciences Proceedings.
    https://mdpi.com
  4. Muskula, S.B.R., Yadav, S., & Mohseni, U. (2023). Application of Remote Sensing and GIS Techniques for Monitoring Water Quality Parameters of River Brahmani.
    https://www.mdpi.com
  5. Yadav, S., Jain, S., & Yadav, B.K. (2022). Comprehensive Assessment of Simulation Tools for Analyzing Seepage Through Earthen Dams.
    https://scholar.google.com
  6. International Research Data Analysis Excellence & Awards. (n.d.). Award evaluation and recognition framework.
    researchdataanalysis.com

Peiqiang Li | Agricultural Data Analysis | Innovative Research Award

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Innovative Research Award


Peiqiang Li
Shandong Agricultural University, China

Peiqiang Li
Affiliation Shandong Agricultural University
Country China
Scopus ID 55654296600
Documents 41
Citations 1719
h-index 25
Subject Area Agricultural Data Analysis
Event International Research Data Analysis Excellence & Awards

The Innovative Research Award recognizes researchers whose scholarly activities demonstrate sustained contributions to scientific advancement and evidence-based innovation. Peiqiang Li of Shandong Agricultural University has developed a notable research portfolio in agricultural data analysis, environmental nanotechnology, crop productivity enhancement, and sustainable agricultural systems. With a Scopus profile documenting 41 indexed publications, 1,719 citations, and an h-index of 25, his research output reflects a measurable influence on contemporary agricultural science and related interdisciplinary fields.[1]

Abstract

Peiqiang Li’s research activities focus on integrating advanced materials, environmental technologies, and agricultural applications to improve crop productivity and sustainability. His scholarly record demonstrates engagement with emerging areas including nano-enabled agriculture, carbon utilization, stress resistance in crops, and biodegradable agricultural materials. The breadth of his publications indicates a multidisciplinary approach that connects laboratory innovation with practical agricultural outcomes.[2]

Keywords

Agricultural Data Analysis, Nanotechnology, Crop Science, Sustainable Agriculture, Carbon Utilization, Environmental Materials, Photosynthesis Enhancement, Research Innovation.

Introduction

Modern agricultural research increasingly relies on interdisciplinary methods to address food security, environmental sustainability, and climate-related challenges. Within this context, Peiqiang Li has contributed to investigations involving advanced nanomaterials, agricultural productivity, and environmental management strategies. His work reflects the growing integration of data-driven scientific methodologies and applied agricultural innovation.[3]

Research Profile

As a researcher affiliated with Shandong Agricultural University, Li has participated in projects addressing crop growth optimization, environmental remediation, and sustainable farming technologies. His publication record and citation metrics indicate consistent scholarly engagement and international visibility within agricultural and environmental sciences.[1]

Research Contributions

  • Investigation of silanized amide nanoclusters for enhancing photosynthetic efficiency in wheat systems.
  • Development of adsorption-catalysis regulation approaches for carbon dioxide utilization using nanostructured materials.
  • Research on nano-silicon applications for improving tomato growth and antioxidant responses under salt stress conditions.
  • Evaluation of biodegradable mulch films and their agricultural performance in crop cultivation systems.

Publications

  • Dual-interface assembled silanized amide nanoclusters: driving light-carbon synergy to enhance photosynthesis in wheat (2026).
  • Synergistic adsorption-catalysis regulation effect for carbon dioxide over hierarchically structured Cu/ZrO2 NTs (2026).
  • Nano-silicon enhances tomato growth and antioxidant defense under salt stress (2024).
  • Characterization and Performance Evaluation of Liquid Biodegradable Mulch Films and Its Effects on Peanut Cultivation (2024).

Research Impact

Li’s research has contributed to advancing understanding of agricultural nanotechnology and environmentally sustainable cultivation methods. Citation performance and continued publication activity suggest that his work is referenced within ongoing scientific discussions concerning crop resilience, carbon management, and agricultural innovation. These contributions support knowledge transfer between fundamental research and practical agricultural implementation.[4]

Award Suitability

Based on documented scholarly metrics, publication productivity, interdisciplinary research scope, and demonstrated contributions to agricultural science, Peiqiang Li presents qualifications consistent with recognition through the International Research Data Analysis Excellence & Awards program. His work aligns with themes of innovation, sustainability, and applied scientific advancement that are commonly considered in research excellence evaluations.[5]

Conclusion

Peiqiang Li has established a scholarly profile characterized by contributions to agricultural data analysis, nanotechnology applications, and sustainable crop production. Through publications addressing emerging agricultural challenges and environmentally responsible technologies, he has contributed to scientific understanding in areas relevant to modern agricultural development. His academic achievements provide a basis for consideration within research recognition initiatives.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Peiqiang Li, Author ID 55654296600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55654296600
  2. Shen, X., Wang, S., Bu, F., Yang, Z., & Li, P. (2026). Dual-interface assembled silanized amide nanoclusters: driving light-carbon synergy to enhance photosynthesis in wheat.
    https://doi.org/10.1016/j.jcis.2025.01.001
  3. Yang, Z., Liu, T., Wang, H., Ma, C., & Li, P. (2026). Synergistic adsorption-catalysis regulation effect for carbon dioxide over hierarchically structured Cu/ZrO2 NTs.
    https://doi.org/10.1016/j.nanoms.2025.100001
  4. Wang, S., Shen, X., Guan, X., Li, P., & Xie, Z. (2024). Nano-silicon enhances tomato growth and antioxidant defense under salt stress.
    https://doi.org/10.1039/D4EN00001A
  5. Shi, J., Wang, S., Yang, Z., Liu, B., & Li, P. (2024). Characterization and Performance Evaluation of Liquid Biodegradable Mulch Films and Its Effects on Peanut Cultivation.
    https://doi.org/10.3390/polym16010001
  6. International Research Data Analysis Excellence & Awards. (n.d.). Award evaluation criteria and recognition framework.
    researchdataanalysis.com

Manoj Kumar Manish | Domain-integrated Analysis | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Manoj Kumar Manish
HSBC, India
Manoj Kumar Manish
Affiliation HSBC
Country India
Scopus ID 57214144923
Documents 2
Citations 11
h-index 1
Subject Area Domain-integrated Analysis
Event International Research Data Analysis Excellence & Awards

The Innovative Research Award recognizes scholarly contributions demonstrating analytical rigor, interdisciplinary relevance, and practical applicability. This article presents an academic profile of Manoj Kumar Manish of HSBC, India, whose research activities contribute to the growing field of domain-integrated analysis. His published work combines advanced forecasting methodologies with financial market intelligence and machine learning approaches, reflecting contemporary developments in data-driven research and decision sciences.[1]

Abstract

This academic recognition profile evaluates the scholarly contributions of Manoj Kumar Manish within the context of data analytics and financial forecasting research. His work demonstrates the integration of econometric methods, machine learning algorithms, and predictive analytics for understanding market behavior. Such interdisciplinary approaches align with contemporary research priorities emphasizing explainable, evidence-based, and scalable analytical frameworks.[2]

Keywords

Domain-integrated Analysis; Financial Forecasting; Machine Learning; Granger Causality; LSTM Networks; XGBoost; Stock Market Analytics; Research Excellence.

Introduction

The increasing complexity of global financial systems has encouraged the adoption of hybrid analytical models capable of processing large and dynamic datasets. Researchers working at the intersection of economics, statistics, and artificial intelligence contribute to improved forecasting performance and decision support systems. Manoj Kumar Manish’s research activities reflect this evolving academic landscape.[3]

Research Profile

According to available scholarly indexing information, the researcher has authored indexed publications and accumulated citations within his subject area. His work focuses on analytical methodologies applicable to financial markets, forecasting environments, and data-driven business intelligence applications.[1]

Research Contributions

  • Application of integrated Granger causality and machine learning frameworks.
  • Exploration of crude oil price shocks and stock market relationships.
  • Use of LSTM architectures for temporal forecasting challenges.
  • Implementation of XGBoost models for predictive performance enhancement.

Publications

  • Crude Oil Shocks and Saudi Stock Returns: An Integrated Granger–LSTM–XGBoost Analysis (2026), published in Forecasting, examining relationships between energy market fluctuations and stock return behavior using hybrid analytical methodologies.[4]

Research Impact

The significance of the research lies in its methodological integration of statistical inference and machine learning. Such approaches provide useful frameworks for policymakers, financial analysts, and academic researchers interested in predictive modeling. Citation activity and indexed publication records indicate emerging scholarly visibility within the broader research community.[5]

Award Suitability

The Innovative Research Award emphasizes originality, methodological quality, and practical relevance. Manoj Kumar Manish’s research profile demonstrates these characteristics through the application of advanced forecasting techniques, interdisciplinary analytical frameworks, and contemporary machine learning tools. His contributions align with the objectives of the International Research Data Analysis Excellence & Awards program by promoting evidence-based innovation and analytical excellence.[6]

Conclusion

Manoj Kumar Manish represents a growing group of researchers utilizing integrated analytical approaches to address complex financial and economic questions. His publication record, research methodology, and interdisciplinary orientation support recognition under the Innovative Research Award framework. Continued scholarly activity may further strengthen the impact and visibility of his contributions within data analysis and forecasting research.

References

  1. Elsevier. (n.d.). Scopus author details: Manoj Kumar Manish, Author ID 57214144923. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57214144923
  2. Forecasting Journal. (2026). Hybrid machine learning approaches in forecasting research.
  3. Research literature on financial forecasting and predictive analytics methodologies.
  4. Aggarwal, P., Danila, N., Suprihadi, E., & Manish, M.K. (2026). Crude Oil Shocks and Saudi Stock Returns: An Integrated Granger–LSTM–XGBoost Analysis. Forecasting.
    https://doi.org/10.3390/forecasting8010001
  5. Scholarly citation databases and indexing services. Research visibility and citation metrics.
  6. International Research Data Analysis Excellence & Awards. Award evaluation framework and recognition criteria.
    researchdataanalysis.com

Raoul Bergner | Diagnostic Analytics | Best Paper Award

Published on by Research Data Analysis

Best Paper Award

Raoul Bergner
Klinikum der Stadt Ludwigshafen am Rhein gGmbH

Raoul Bergner
Affiliation Klinikum der Stadt Ludwigshafen am Rhein gGmbH
Country Germany
Scopus ID 7006675297
Documents 102
Citations 1882
h-index 24
Subject Area Diagnostic Analytics
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-7965-1273

The Best Paper Award recognizes scholarly excellence, research rigor, and measurable contributions to scientific advancement. Raoul Bergner, affiliated with Klinikum der Stadt Ludwigshafen am Rhein gGmbH, has established a substantial publication record in nephrology, vasculitis research, diagnostic analytics, and clinical outcome prediction. Through a combination of clinical investigations, multicenter cohort studies, and evidence-based analyses, Bergner has contributed to the understanding of renal disease progression and treatment optimization in complex patient populations.[1]

Abstract

This article evaluates the academic achievements of Raoul Bergner in relation to the Best Paper Award. His scholarly record demonstrates sustained engagement with clinically relevant research topics, particularly kidney disease, vasculitis, histopathological assessment, and predictive analytics. The combination of extensive publications, citation influence, and international research visibility supports consideration for academic recognition.[2]

Keywords

Best Paper Award, Diagnostic Analytics, Nephrology, Vasculitis Research, Clinical Outcomes, Kidney Disease, Research Excellence, Medical Data Analysis

Introduction

Academic awards often recognize researchers whose work demonstrates originality, methodological rigor, and measurable influence. Raoul Bergner’s portfolio reflects these characteristics through contributions to diagnostic evaluation, treatment assessment, and risk prediction models in nephrology and rheumatology-related conditions.[3]

Research Profile

With 102 indexed documents, 1,882 citations, and an h-index of 24, Bergner maintains a recognized scholarly presence. His research frequently integrates clinical observations with analytical methodologies to improve understanding of disease progression, patient stratification, and therapeutic decision-making.[1]

Research Contributions

  • Development of renal outcome risk stratification frameworks.
  • Evaluation of histopathological indicators in vasculitis and kidney disease.
  • Clinical assessment of treatment selection and survival outcomes.
  • Research on pharmacokinetic optimization in critically ill patients.

Publications

  • Risk stratification for renal outcomes in ANCA-associated vasculitides using established scores and histopathological criteria.
  • Impact of Kidney Histology and Choice of Treatment on Survival in Patients with Multiple Myeloma.
  • Prediction of relapses in patients with small vessel vasculitides.

Research Impact

The citation record associated with Bergner’s publications indicates continued relevance within nephrology and clinical research communities. His studies contribute evidence supporting improved diagnostic assessment, individualized treatment planning, and long-term patient management strategies.[4]

Award Suitability

Raoul Bergner demonstrates several characteristics commonly associated with Best Paper Award recipients, including publication consistency, interdisciplinary relevance, methodological quality, and measurable scholarly impact. His recent contributions addressing renal outcomes and predictive clinical analytics provide strong examples of research aligned with evidence-based healthcare advancement.[5]

Conclusion

Based on publication metrics, citation performance, and subject-matter contributions, Raoul Bergner represents a noteworthy candidate for recognition within the International Research Data Analysis Excellence & Awards framework. His work contributes meaningful insights to diagnostic analytics and clinical nephrology while supporting continued scientific advancement.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Raoul Bergner, Author ID 7006675297. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7006675297
  2. Journal of Nephrology. (2026). Risk stratification for renal outcomes in ANCA-associated vasculitides.
    https://doi.org/10.1093/joneph/aajaf019
  3. Kidney360. (2026). Impact of Kidney Histology and Choice of Treatment on Survival in Patients with Multiple Myeloma.
    https://doi.org/10.34067/KID.0000001131
  4. Rheumatology International. (2025). Prediction of relapses in patients with small vessel vasculitides.
    https://doi.org/10.1007/s00296-025-06049-1
  5. Infection. (2025). A fluconazole population pharmacokinetics study to improve target attainment in critically ill patients.
    https://doi.org/10.1007/s15010-025-02663-0
  6. Rheumatology International. (2025). Comparison of the 2022 ACR/EULAR versus the 1990 ACR classification criteria for giant cell arteritis.
    https://doi.org/10.1007/s00296-025-05965-6

Noureddine Mhadhbi | Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award


Noureddine Mhadhbi
Faculty of Sciences of Sfax, Tunisia

Noureddine Mhadhbi
Affiliation Faculty of Sciences of Sfax
Country Tunisia
Scopus ID 55062432600
Documents 53
Citations 416
h-index 11
Subject Area Data Analysis
Event International Research Data Analysis Excellence & Awards

The Best Researcher Award recognition highlights the scholarly achievements of Noureddine Mhadhbi, a researcher affiliated with the Faculty of Sciences of Sfax, Tunisia. His academic profile demonstrates sustained contributions to data analysis, crystallographic characterization, materials science, molecular modeling, and interdisciplinary research involving structural chemistry and computational investigations. Through a growing publication portfolio and measurable citation impact, his work reflects continued engagement with contemporary scientific challenges and international research collaboration.[1]

Abstract

Noureddine Mhadhbi has established a research profile characterized by multidisciplinary scientific inquiry and quantitative analytical methodologies. His publications emphasize structural characterization, crystallography, computational chemistry, molecular docking, materials analysis, and interpretation of complex experimental datasets. The combination of laboratory investigations with advanced analytical techniques has contributed to the understanding of inorganic and hybrid materials while supporting broader scientific applications.[2]

Keywords

Data Analysis, Crystallography, Materials Science, Molecular Docking, Structural Chemistry, Computational Modeling, Research Excellence.

Introduction

Modern scientific research increasingly relies on robust data interpretation and interdisciplinary collaboration. Noureddine Mhadhbi’s scholarly activities illustrate the integration of structural analysis, spectroscopy, computational approaches, and experimental validation. His work contributes to the evaluation of chemical systems and provides evidence-based insights relevant to materials development and functional characterization.[3]

Research Profile

According to available scholarly metrics, the researcher has accumulated 53 indexed documents, 416 citations, and an h-index of 11. His academic portfolio demonstrates sustained productivity across peer-reviewed journals and collaborative research projects. Areas of specialization include crystal engineering, hybrid materials, inorganic chemistry, computational studies, and data-driven evaluation of structure–property relationships.[1]

Research Contributions

  • Investigation of zinc-based and copper-based hybrid compounds through crystallographic and spectroscopic methods.
  • Application of molecular docking and computational analysis for biological activity assessment.
  • Development of structure–property relationships using advanced analytical and modeling techniques.
  • Contribution to electrochemical and environmental remediation studies involving complex materials.

Publications

  • Structure–biological activity relationships in a zinc(II) pyrazole halide complex via noncovalent interactions, molecular docking, and antimicrobial studies (RSC Advances, 2026).
  • Integrated structural, vibrational, thermal, and optical characterization of a zinc-based organic–inorganic hybrid with DFT and molecular docking insights (RSC Advances, 2026).
  • Structural, optical, and electrochemical properties of a new 1D copper(II) halometalate for dopamine detection (Dalton Transactions, 2026).
  • Structural, optical, and biological investigations of a hybrid tetrachloridozincate compound (Journal of Molecular Structure, 2026).
  • High-efficiency electro-Fenton mineralization of triclosan using a novel iron(III) complex (RSC Advances, 2026).

Research Impact

The citation performance and publication record indicate meaningful engagement within the scientific community. The research output demonstrates relevance to analytical sciences, materials characterization, environmental applications, and computational investigations. Through collaborative publications and interdisciplinary methodologies, the researcher contributes to the dissemination of reproducible scientific knowledge and quantitative evaluation practices.[4]

Award Suitability

Noureddine Mhadhbi’s profile aligns with the objectives of the International Research Data Analysis Excellence & Awards program. His documented research productivity, citation impact, interdisciplinary collaborations, and application of analytical methodologies demonstrate characteristics commonly associated with scholarly excellence. The breadth of contributions and sustained publication activity support consideration for recognition within an international academic framework.[5]

Conclusion

The academic record of Noureddine Mhadhbi reflects a commitment to rigorous scientific investigation, data analysis, and collaborative research. His contributions across crystallography, materials science, computational modeling, and analytical methodologies provide evidence of sustained scholarly engagement. These accomplishments support his profile as a noteworthy candidate for academic recognition and research excellence awards.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Noureddine Mhadhbi, Author ID 55062432600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55062432600
  2. RSC Publishing. (2026). Structure–biological activity relationships in a zinc(II) pyrazole halide complex.
  3. Royal Society of Chemistry. (2026). Integrated structural and computational characterization studies.
  4. Dalton Transactions. (2026). Structural, optical, and electrochemical properties of copper halometalates.
  5. International Research Data Analysis Excellence & Awards. (n.d.). Award evaluation framework and recognition criteria.
  6. Journal of Molecular Structure. (2026). Research contributions in hybrid materials and structural analysis.

Nada Alzaben | IoT (Internet of Things) Analytics | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award


Nada Alzaben
Princess Nourah Bint Abdulrahman University, Saudi Arabia

Nada Alzaben
Affiliation Princess Nourah Bint Abdulrahman University
Country Saudi Arabia
Scopus ID 57222489366
Documents 37
Citations 93
h-index 6
Subject Area IoT (Internet of Things) Analytics
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0003-4778-4730

The Best Researcher Award recognizes scholarly excellence, research productivity, and meaningful scientific contributions within specialized fields of study. This article presents an academic overview of Nada Alzaben, a researcher affiliated with Princess Nourah Bint Abdulrahman University, whose work spans IoT analytics, cybersecurity, artificial intelligence, federated learning, blockchain-enabled trust architectures, and intelligent network systems. Her publication portfolio demonstrates sustained engagement with emerging digital technologies and consumer-centric security solutions, reflecting contemporary developments in data-driven research and innovation.[1]

Abstract

Nada Alzaben’s research activities focus on intelligent digital infrastructures, cybersecurity analytics, privacy-preserving machine learning, and secure Internet of Things ecosystems. Her scholarly output addresses modern technological challenges associated with connected devices, autonomous systems, and trusted digital environments. The body of work demonstrates interdisciplinary integration between artificial intelligence, communication networks, data analytics, and secure computing frameworks.[2]

Keywords

IoT Analytics, Artificial Intelligence, Federated Learning, Blockchain Security, UAV Networks, Deep Learning, Cybersecurity, Smart Surveillance.

Introduction

The increasing adoption of intelligent digital systems has elevated the importance of secure, scalable, and privacy-aware computational frameworks. Researchers operating within this domain contribute to the development of advanced analytical methods capable of supporting emerging applications across consumer electronics, transportation systems, and smart environments. Nada Alzaben’s research aligns with these objectives through investigations into resilient architectures and data-driven security mechanisms.[3]

Research Profile

According to indexed academic records, the researcher has produced 37 scholarly documents, received 93 citations, and attained an h-index of 6. Her research portfolio demonstrates active engagement in areas involving IoT analytics, intelligent security systems, machine learning applications, and advanced communication technologies. These indicators collectively reflect an established research presence within rapidly evolving technological disciplines.[1]

Research Contributions

  • Development of blockchain-enabled trust architectures for multimedia protection in digital twin environments.
  • Research on privacy-preserving federated learning frameworks for autonomous vehicle security.
  • Investigation of reinforcement learning techniques for secure and energy-efficient UAV communication networks.
  • Deep learning approaches for Android software vulnerability detection and cybersecurity analytics.
  • Smart surveillance methodologies using UAV imagery and advanced vehicle detection systems.

Publications

  • End-to-End Multimedia Protection for Consumer-Centric Digital Twins via Blockchain and Hardware-Rooted Trust.
  • A Privacy Preserving Federated Learning Framework for Securing Consumer Autonomous Vehicles against AI-Enabled GPS Spoofing Attacks.
  • Deep Reinforcement Learning for Secure and Energy-Efficient RIS-Assisted UAV Networks under Imperfect CSI.
  • Fortifying Android Security: Hyperparameter Tuned Deep Learning Approach for Robust Software Vulnerability Detection.
  • Smart Surveillance: Advanced Deep Learning-Based Vehicle Detection and Tracking Model on UAV Imagery.

Research Impact

The research contributions address practical and theoretical challenges in digital trust, cybersecurity resilience, intelligent transportation, and machine learning optimization. Publications appearing in internationally recognized journals indicate engagement with peer-reviewed scientific dissemination channels and contribute to ongoing discussions concerning secure digital ecosystems and next-generation connected technologies.[4]

Award Suitability

The profile demonstrates characteristics commonly associated with academic recognition, including publication productivity, interdisciplinary research engagement, measurable citation impact, and participation in advancing emerging technological fields. The documented work in IoT analytics, cybersecurity, and AI-driven systems aligns with the objectives of the International Research Data Analysis Excellence & Awards program, making the researcher a suitable recipient of the Best Researcher Award.[5]

Conclusion

Nada Alzaben has established a scholarly record centered on secure intelligent systems, IoT analytics, and advanced machine learning applications. Through contributions spanning blockchain trust mechanisms, federated learning, UAV networks, and cybersecurity analytics, her work reflects meaningful participation in contemporary scientific research and supports recognition through the Best Researcher Award designation.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Nada Alzaben, Author ID 57222489366. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57222489366
  2. IEEE Transactions on Consumer Electronics. (2026). End-to-End Multimedia Protection for Consumer-Centric Digital Twins via Blockchain and Hardware-Rooted Trust.
    https://doi.org/10.1109/TCE.2026.3670380
  3. IEEE Transactions on Consumer Electronics. (2026). Privacy Preserving Federated Learning Framework for Autonomous Vehicles.
    https://doi.org/10.1109/TCE.2026.3677491
  4. IEEE Transactions on Consumer Electronics. (2026). Deep Reinforcement Learning for Secure RIS-Assisted UAV Networks.
    https://doi.org/10.1109/TCE.2026.3677344
  5. Fractals. (2025). Fortifying Android Security: Hyperparameter Tuned Deep Learning Approach.
    https://doi.org/10.1142/S0218348X25400432
  6. Fractals. (2025). Smart Surveillance: Advanced Deep Learning-Based Vehicle Detection and Tracking Model on UAV Imagery.
    https://doi.org/10.1142/S0218348X25400274

Sovanlal Mondal | Quantitative Research | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Sovanlal Mondal
Indian Institute of Technology Kharagpur

Sovanlal Mondal
Affiliation Indian Institute of Technology Kharagpur
Country India
Scopus ID 57218617723
Documents 17
Citations 160
h-index 5
Subject Area Quantitative Research
Event International Research Data Analysis Excellence & Awards
Google Scholar ID ITgKpAMAAAAJ

The Best Researcher Award recognition highlights scholarly contributions that demonstrate consistent academic productivity, measurable research impact, and engagement with contemporary scientific challenges. Sovanlal Mondal of the Indian Institute of Technology Kharagpur has established a research profile characterized by interdisciplinary investigations in materials science, nanotechnology, sensing systems, and quantitative research methodologies. His publication record reflects contributions to peer-reviewed journals and collaborative projects addressing photoluminescence, nanogenerators, biosensors, and advanced electronic materials.[1]

Abstract

This article presents an overview of the academic achievements and research profile of Sovanlal Mondal. The assessment is based on publication output, citation performance, interdisciplinary collaborations, and contributions to emerging areas of materials and sensor technologies. Available scholarly indicators suggest a growing influence within relevant scientific communities and support consideration for professional recognition within international research award programs.[1]

Keywords

Quantitative Research, Nanotechnology, Biosensors, Photoluminescence, Electronic Materials, Scientific Publications, Research Impact, Data Analysis.

Introduction

Modern scientific research increasingly relies on interdisciplinary approaches that integrate materials engineering, electronics, and analytical methodologies. Researchers contributing to these domains play a significant role in advancing technological innovation and knowledge dissemination. Sovanlal Mondal’s scholarly activities demonstrate participation in research efforts addressing nanomaterials, moisture-enabled devices, photonic applications, and biosensing technologies.[2]

Research Profile

According to available author metrics, the researcher has produced 17 indexed documents with approximately 160 citations and an h-index of 5. These indicators suggest sustained scholarly engagement and growing recognition among peers. Research collaborations span multiple scientific disciplines and involve investigations into semiconductor materials, sensor platforms, and energy-harvesting technologies.[1]

Research Contributions

  • Investigation of oxygen vacancies and photoluminescence mechanisms in ZnO nanorods.
  • Development of humidity-induced protein-based artificial synaptic devices.
  • Research on moisture-enabled nanogenerators utilizing advanced two-dimensional materials.
  • Enhancement of UV photoresponse using plasmonic thin-film architectures.
  • Contribution to biosensing platforms for SARS-CoV-2 saliva detection.

Publications

  1. Role of oxygen vacancies on the green photoluminescence of microwave-assisted grown ZnO nanorods (2020).
  2. Humidity-Induced Protein-Based Artificial Synaptic Devices for Neuroprosthetic Applications (2024).
  3. Advancement of 2D Material-Based Moisture-Enabled Nanogenerators (2024).
  4. Role of plasmonic layer with SnO2 thin film to improve UV photoluminescence and photoresponse (2024).
  5. Diffusion-Induced Ingress of ACE2 for Efficient Detection of SARS-CoV-2 in Saliva Samples (2022).

Research Impact

The citation performance of the researcher’s publications indicates measurable academic visibility. Contributions in high-impact journals have addressed both fundamental scientific questions and practical technological applications. The combination of materials characterization, device development, and biomedical sensing research demonstrates relevance across multiple research sectors.[3][4]

Award Suitability

Selection for a Best Researcher Award generally considers publication quality, citation impact, innovation, and contribution to scientific advancement. Based on the available evidence, Sovanlal Mondal demonstrates several characteristics commonly associated with award-worthy research performance, including interdisciplinary collaboration, publication in recognized journals, and engagement with emerging technological challenges.[5]

Conclusion

Sovanlal Mondal’s academic record reflects a consistent contribution to quantitative and applied scientific research. Through publications, collaborations, and measurable citation performance, the researcher has contributed to advancements in materials science, sensing technologies, and electronic systems. These accomplishments provide a foundation for recognition within the International Research Data Analysis Excellence & Awards program.

References

  1. Elsevier. (n.d.). Scopus author details: Sovanlal Mondal, Author ID 57218617723. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57218617723
  2. Pramanik, S., et al. (2020). Role of oxygen vacancies on the green photoluminescence of microwave-assisted grown ZnO nanorods.
    DOI: https://doi.org/10.1016/j.jallcom.2020.156684
  3. Sadhukhan, R., et al. (2024). Humidity-Induced Protein-Based Artificial Synaptic Devices for Neuroprosthetic Applications.
    https://doi.org/10.1002/smll.202307439
  4. Pramanik, S., et al. (2024). Advancement of 2D Material-Based Moisture-Enabled Nanogenerators.
    https://doi.org/10.1021/acsaelm.4c00512
  5. Mandal, A., et al. (2022). Efficient Detection of SARS-CoV-2 in Saliva Samples Using ACE2-Based Sensing.
  6. International Research Data Analysis Excellence & Awards. (n.d.). Award Program Information.
    https://researchdataanalysis.com/

Florentina Laura Chiriac | Environmental Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Florentina Laura Chiriac
Institutul National de Cercetare Dezvoltare Pentru Ecologie Industriala

Florentina Laura Chiriac
Affiliation Institutul National de Cercetare Dezvoltare Pentru Ecologie Industriala
Country Romania
Scopus ID 57195613589
Documents 63
Citations 777
h-index 15
Subject Area Environmental Data Analysis
Event Research Data Analysis Awards
ORCID 0000-0003-0196-3506

Florentina Laura Chiriac recognizes distinguished scholarly contributions in environmental data analysis and industrial ecology. This article presents an academic overview of the research profile, scientific achievements, publication record, and research impact of Florentina Laura Chiriac, whose work has contributed to environmental monitoring, sustainability assessment, ecological risk evaluation, and evidence-based environmental management. Her scholarly activities demonstrate a sustained commitment to advancing environmental sciences through interdisciplinary data-driven research methodologies.[1]

Abstract

Florentina Laura Chiriac is a researcher associated with the Institutul National de Cercetare Dezvoltare Pentru Ecologie Industriala in Romania. Her scientific work focuses on environmental data analysis, industrial ecology, sustainability assessment, environmental monitoring, and pollution management. Through a portfolio comprising numerous indexed publications and measurable citation impact, she has contributed to advancing environmental research methodologies and supporting evidence-based environmental decision-making. Her work demonstrates the integration of analytical approaches with practical environmental applications, aligning with contemporary priorities in ecological sustainability and environmental protection.[1][2]

Keywords

Environmental Data Analysis, Industrial Ecology, Sustainability Assessment, Environmental Monitoring, Ecological Risk Assessment, Pollution Control, Environmental Research, Data-Driven Decision Making, Industrial Sustainability, Environmental Management.

Introduction

Environmental data analysis has become an essential component of modern environmental science, enabling researchers to identify trends, evaluate ecological impacts, and develop sustainable solutions to environmental challenges. Researchers working at the intersection of environmental monitoring and data analytics play an important role in generating scientific evidence that informs policy and industrial practices. Within this context, Florentina Laura Chiriac has contributed to scientific investigations that support environmental sustainability and industrial ecological development through systematic research and scholarly dissemination.[1]

Research Profile

Florentina Laura Chiriac is affiliated with the Institutul National de Cercetare Dezvoltare Pentru Ecologie Industriala, a research institution dedicated to environmental science and sustainable development initiatives. Her scholarly record includes 63 indexed documents, 777 citations, and an h-index of 15, reflecting both research productivity and academic influence. Her work is characterized by interdisciplinary collaboration and the application of analytical methodologies to environmental systems and industrial ecological processes.[1]

Research Contributions

The research contributions of Florentina Laura Chiriac encompass environmental quality assessment, ecological sustainability, environmental risk management, and industrial environmental performance evaluation. Her publications contribute to understanding the interactions between industrial activities and environmental systems while promoting methodologies that support sustainable development objectives.[2]

Publications

The publication portfolio associated with Florentina Laura Chiriac demonstrates sustained scholarly engagement in environmental sciences. Her research outputs have appeared in peer-reviewed journals and conference proceedings addressing environmental monitoring, sustainability, pollution assessment, and ecological management. Representative scholarly works include studies indexed through international databases and supported by digital object identifiers (DOIs).[3]

Research Impact

Research impact can be evaluated through publication productivity, citation performance, and scholarly visibility. With 777 citations and an h-index of 15, Florentina Laura Chiriac’s work has demonstrated measurable influence within the environmental science community. These indicators suggest that her findings have been referenced and utilized by other researchers investigating environmental sustainability, ecological monitoring, and industrial environmental performance.[1]

Award Suitability

The Innovative Research Award recognizes researchers whose scholarly work demonstrates originality, scientific rigor, and measurable contributions to their field. Florentina Laura Chiriac’s publication record, citation impact, interdisciplinary research activities, and engagement with environmental data analysis align with the objectives of the Research Data Analysis Awards. Her work reflects the integration of analytical methodologies with practical environmental applications, supporting innovation in environmental research and sustainability science.[1][2]

Conclusion

Florentina Laura Chiriac has established a recognized research profile in environmental data analysis and industrial ecology through sustained scholarly activity and measurable academic impact. Her contributions to environmental monitoring, sustainability assessment, and ecological management illustrate the value of interdisciplinary research in addressing contemporary environmental challenges. The Innovative Research Award serves as an acknowledgment of scientific achievement and continued commitment to advancing environmental knowledge through data-driven inquiry.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Florentina Laura Chiriac, Author ID 57195613589. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57195613589
  2. ORCID. (n.d.). Florentina Laura Chiriac Research Profile.http://orcid.org/0000-0003-0196-3506
  3. Cimpean, I.-A., Stefan, D. S., & Chiriac, F. L. (2026). Interactions between microplastics and organic pollutants in aquatic systems: Impacts on environmental fate, transport, and risk assessment. Environments, 13(5), 238.
    DOI:
    https://www.mdpi.com/2076-3298/13/5/238
  4. Petre, V.-A., Ungureanu, C., Gheorghe, S., & Chiriac, F.-L. (2026). PFAS in aquatic systems: Bioaccumulation patterns and implications of advanced water treatment limitations. Environments, 13(6), 330.
    https://www.mdpi.com/2076-3298/13/6/330
  5. Petre, V. A., Chiriac, F. L., Lucaciu, I. E., Paun, I., Pirvu, F., Iancu, V. I., Novac, L., & Gheorghe, S. (2026). Reply to Zachritz et al. Comment on “Petre et al. Tissue bioconcentration pattern and biotransformation of per-fluorooctanoic acid (PFOA) in Cyprinus carpio (European carp)—An extensive in vivo study.
    https://www.mdpi.com/2304-8158/15/7/1262

Baliira Kalyebara | Financial Data Analysis | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Baliira Kalyebara
American University of Ras Al Khaimah, United Arab Emirates

Baliira Kalyebara
Affiliation American University of Ras Al Khaimah
Country United Arab Emirates
Scopus ID 56413038400
Documents 20
Citations 33
h-index 4
Subject Area Financial Data Analysis
Event Research Data Analysis Awards

Baliira Kalyebara recognizes scholarly achievement and sustained contributions to research and knowledge development. This article presents an academic overview of Baliira Kalyebara, whose work has contributed to the field of financial data analysis through research activities, publications, and scholarly engagement. The profile has been prepared in the context of the Research Data Analysis Awards and follows a neutral academic style supported by publicly accessible scholarly sources.[1]

Abstract

Baliira Kalyebara is a researcher affiliated with the American University of Ras Al Khaimah whose academic work is associated with financial data analysis, business analytics, and evidence-based decision-making. Scholarly metrics indicate a developing research profile supported by peer-reviewed publications, citation activity, and interdisciplinary engagement. This article summarizes the research background, scholarly contributions, publication record, and potential suitability for recognition through the Innovative Research Award.[1][2]

Keywords

Financial Data Analysis, Research Analytics, Business Intelligence, Scholarly Research, Data-Driven Decision Making, Innovation in Research, Predictive Analytics, Statistical Modeling, Quantitative Research, Financial

Introduction

Financial data analysis has become an important component of modern research, enabling organizations and institutions to evaluate trends, risks, and opportunities using quantitative evidence. Researchers operating in this domain frequently contribute to analytical frameworks, statistical methodologies, and applied business intelligence solutions. Baliira Kalyebara’s scholarly activities reflect participation in this evolving research landscape and demonstrate engagement with contemporary analytical challenges.[1]

Research Profile

Baliira Kalyebara is affiliated with the American University of Ras Al Khaimah in the United Arab Emirates. According to scholarly indexing databases, the researcher has produced twenty indexed documents and accumulated citation activity that reflects academic visibility within relevant subject areas. The documented h-index indicates measurable research influence and engagement with scholarly communities.[1]

Research Contributions

The research contributions associated with Baliira Kalyebara are aligned with analytical approaches used in finance, management, and organizational decision-making. Such contributions support the broader objective of transforming complex datasets into actionable knowledge. Through scholarly dissemination and participation in academic discourse, the researcher has contributed to the development of analytical understanding within applied research environments.[1][2]

Publications

The research record includes multiple scholarly publications indexed in international databases. These works collectively contribute to discussions surrounding analytical methodologies, business research, and financial data interpretation. Representative publications are discoverable through the author’s Scopus and Google Scholar profiles.[1][3]

Research Impact

Research impact may be evaluated using publication productivity, citation indicators, scholarly visibility, and influence on future studies. Available metrics show that Baliira Kalyebara’s work has received citations from other researchers, indicating engagement with the published literature and recognition within academic networks.[1]

Award Suitability

The Innovative Research Award recognizes researchers whose scholarly activities contribute to knowledge advancement and analytical excellence. Based on available publication records, citation metrics, institutional affiliation, and engagement with financial data analysis, Baliira Kalyebara demonstrates characteristics commonly associated with academic recognition programs. Evaluation would ordinarily consider originality, scholarly rigor, research dissemination, and measurable academic impact.[1][2]

Conclusion

Baliira Kalyebara’s academic profile reflects active participation in research related to financial data analysis and associated analytical disciplines. The documented publication output, citation record, and institutional affiliation indicate ongoing engagement with scholarly inquiry. As a candidate considered within the framework of the Research Data Analysis Awards, the researcher represents a profile characterized by academic productivity, evidence-based investigation, and contributions to analytical knowledge development.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Baliira Kalyebara, Author ID 56413038400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56413038400
  2. Research Data Analysis Awards. (n.d.). Innovative Research Award evaluation framework and recognition criteria.
    https://researchdataanalysis.com/
  3. Google Scholar. (n.d.). Scholar profile and citation metrics for Baliira Kalyebara.
    https://scholar.google.com/citations?user=R_oLej4AAAAJ&hl=en&oi=ao
  4. Aziz, M. I. A., Chebab, D., Kalyebara, B., & Nor, S. M. (2026). Safe havens in turbulent times: Assessing the role of gold and the USD against global stock market indices. Journal of Risk and Financial Management, 19(5), 308.
    https://www.mdpi.com/1911-8074/19/5/308
  5. Alafeef, M. A., Kalyebara, B., Kalbouneh, N. Y., Abuoliem, N., Bani Yousef, A. N., & Al-Afeef, M. A. M. (2024). The impact of FINTECH on banking performance: Evidence from Middle Eastern countries. International Journal of Data and Network Science, 8(4), 2219–2230. https://www.growingscience.com/ijds/Vol8/ijdns_2024_115.pdf