George Kenanakis | Environmental Data Analysis | Research Excellence Award

Published on by Research Data Analysis

Research Excellence Award

George Kenanakis
Institute of Electronic Structure and Laser of the Foundation for Research and Technology

George Kenanakis
Affiliation Institute of Electronic Structure and Laser of the Foundation for Research and Technology
Country Greece
Scopus ID 21234204900
Documents 169
Citations 4056
h-index 38
Subject Area Environmental Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-5843-3712

George Kenanakis is associated with the Institute of Electronic Structure and Laser of the Foundation for Research and Technology in Greece. His indexed scholarly record includes 169 documents, 4,056 citations and an h-index of 38, providing measurable evidence of sustained publication activity and academic visibility relevant to research excellence assessment.[1]

Abstract

This article presents an academic recognition profile of George Kenanakis in connection with the Research Excellence Award. The profile considers indexed publication output, citation performance, h-index and institutional affiliation as indicators supporting a structured assessment of scholarly productivity, visibility and potential relevance to research excellence recognition.[2]

Keywords

George Kenanakis; Research Excellence Award; Environmental Data Analysis; Research Impact; Scholarly Publications; Citation Analysis; h-index; Scopus; Academic Recognition.

Introduction

Research excellence assessment commonly considers publication productivity, citation performance and sustained scholarly contribution. George Kenanakis demonstrates an established indexed research record that can be examined through recognized bibliometric indicators. These measures provide a structured basis for evaluating academic visibility and contribution within the context of research recognition.[1]

Research Profile

George Kenanakis is affiliated with the Institute of Electronic Structure and Laser of the Foundation for Research and Technology in Greece. His scholarly identity is represented through Scopus Author ID 21234204900 and ORCID 0000-0001-5843-3712, enabling standardized identification, research attribution and connection with indexed academic outputs.[3]

Research Contributions

The research record associated with George Kenanakis reflects sustained scholarly activity across indexed publications and related research outputs. His profile provides evidence for examining contributions through publication continuity, citation reception and academic discoverability. Such indicators support an evidence-based perspective when considering broader scientific contribution and research excellence.[2]

Publications

The Scopus author record lists 169 indexed documents associated with the researcher profile. This publication volume represents a substantial body of documented scholarly work available for bibliometric examination. Publication records, persistent identifiers and DOI-based linking contribute to the traceability and accessibility of individual research outputs.[3]

Research Impact

The available bibliometric indicators report 4,056 citations and an h-index of 38. These values indicate measurable scholarly visibility and sustained citation performance within indexed literature. Bibliometric indicators should be interpreted alongside disciplinary context, research quality and the characteristics of individual publications when evaluating academic impact.[1]

Award Suitability

Based on the stated bibliometric record, institutional affiliation and identifiable scholarly outputs, George Kenanakis presents a profile suitable for consideration within a structured Research Excellence Award evaluation. Final recognition should remain subject to applicable eligibility criteria, independent review and comparative assessment by the International Research Data Analysis Excellence & Awards.[2]

Conclusion

George Kenanakis has an identifiable scholarly profile supported by indexed publications, citation data and persistent researcher identifiers. The available metrics provide a documented basis for academic evaluation and recognition. Considered together with qualitative assessment and award criteria, these indicators support informed consideration for research excellence recognition.[1]

References

  1. Fabrication of Metasurfaces on Building Construction Materials for Potential Electromagnetic Applications in the Microwave Band.
    https://www.mdpi.com/1996-1944/15/20/7315
  2. Laser-Induced Microfoaming in Chitosan–Mastic Gum Composite Films: Structure–Property Relationships and Cellular Response
    https://www.researchgate.net/publication/403735478_Laser-Induced_Microfoaming_in_Chitosan-Mastic_Gum_Composite_Films_Structure-Property_Relationships_and_Cellular_Response
  3. Biomimetic Omnidirectional Antireflective Glass via Direct Ultrafast Laser Nanostructuring.
    https://www.researchgate.net/publication/333974665_Biomimetic_Omnidirectional_Antireflective_Glass_via_Direct_Ultrafast_Laser_Nanostructuring

Chih Lung Tseng | Optics | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Chih Lung Tseng – National Taitung University
Chih Lung Tseng
Affiliation National Taitung University
Country Taiwan
Scopus ID 24177595400
Documents 18
Citations 143
h-index 3
Subject Area Optics
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0009-6347-5752

The Innovative Research Award article presents an academic overview of Chih Lung Tseng of National Taitung University, Taiwan. The profile is associated with research activity in optics and summarizes selected bibliometric indicators, scholarly identity records, and recognition considerations within the context of the International Research Data Analysis Excellence & Awards. [1]

Abstract

This article summarizes the academic profile of Chih Lung Tseng, affiliated with National Taitung University, with particular reference to optics-related scholarly activity. Available profile indicators include 18 documents, 143 citations, and an h-index of 3, providing a concise basis for academic recognition assessment. [1]

Keywords

Innovative Research Award; Chih Lung Tseng; National Taitung University; optics; scientific research; scholarly publications; citation analysis; research impact; academic recognition; International Research Data Analysis Excellence & Awards. [2]

Introduction

Academic recognition commonly considers research productivity, scholarly visibility, subject relevance, and evidence of sustained contribution. Chih Lung Tseng’s profile at National Taitung University is presented through available bibliometric and researcher-identification records, offering a concise context for evaluating scholarly activity in optics and related research areas. [3]

Research Profile

Chih Lung Tseng is affiliated with National Taitung University in Taiwan and is associated with scholarly work categorized within optics. The available Scopus author record identifies 18 documents, 143 citations, and an h-index of 3, while the ORCID identifier supports persistent researcher identification.[2]

Research Contributions

The research profile indicates continued scholarly participation through publications indexed within a major academic database. Contributions associated with the optics subject area may support disciplinary knowledge through documented research outputs, collaboration, and dissemination. Assessment of contribution is appropriately based on available indexed records and persistent researcher information. [1]

Publications

The available Scopus profile reports 18 indexed documents associated with the researcher. These publications constitute the documented scholarly output used in this overview. Individual publication details, including article titles, journals, authorship, and DOI records, should be verified through the corresponding author and publisher records. [3]

Research Impact

Available bibliometric indicators report 143 citations and an h-index of 3. These measures provide one perspective on scholarly visibility and citation activity, although citation indicators vary across disciplines, publication periods, and database coverage. They are therefore considered alongside research context and documented outputs. [1]

Award Suitability

The documented research profile demonstrates identifiable scholarly activity, indexed publications, citation evidence, and a persistent researcher identifier. These elements provide relevant information for consideration within an academic recognition framework. Final award suitability should depend on the event’s formal eligibility criteria, review standards, verification procedures, and comparative evaluation process.[3]

Conclusion

Chih Lung Tseng’s available academic profile reflects documented research activity in optics, supported by indexed publications, citation records, and persistent scholarly identification. The Innovative Research Award overview provides a structured summary of these indicators while recognizing that comprehensive academic evaluation requires verification of achievements and formal review criteria.[2]

References

  1. A Low-Power 3-Gb/s PRBS Generator Using an Improved TSPC D-Type Flip-Flop in 0.18 µm CMOS Technology.
    https://link.springer.com/article/10.1007/s00034-025-03482-2
  2. Physics-Constrained Multiresolution Adam Optimization for Inverse Reconstruction of TPP-Fabricated Waveguide Index Profiles from Near-Field Intensity Measurements
    https://www.researchgate.net/publication/412982496_Physics-Constrained_Multiresolution_Adam_Optimization_for_Inverse_Reconstruction_of_TPP-Fabricated_Waveguide_Index_Profiles_from_Near-Field_Intensity_Measurements
  3. All-digital cost-efficient CMOS pulse-expanded temperature sensor with digital set-point programming.
    https://www.researchgate.net/publication/403054082_All-digital_cost-efficient_CMOS_pulse-expanded_temperature_sensor_with_digital_set-point_programming

SUPRIYA KRISHNAN | Human Resources Analytics | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

SUPRIYA KRISHNAN  – Patna University, India

SUPRIYA KRISHNAN
Affiliation Patna University
Country India
Scopus ID 15136325100
Documents 13
Citations 483
h-index 7
Subject Area Human Resources Analytics
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-0710-7076

SUPRIYA KRISHNAN is associated with Patna University and has an academic research profile connected with Human Resources Analytics. The available scholarly indicators, including publications, citations and h-index, provide a measurable basis for evaluating research visibility, contribution and suitability for academic recognition through the Innovative Research Award. [1]

Abstract

This article presents an academic overview of SUPRIYA KRISHNAN in relation to the Innovative Research Award. The profile considers affiliation, research specialization, publication activity and citation indicators. Available bibliometric information is used to describe scholarly visibility and research relevance within Human Resources Analytics. [2]

Keywords

Innovative Research Award; SUPRIYA KRISHNAN; Patna University; Human Resources Analytics; research data analysis; bibliometric indicators; scholarly publications; research impact; academic excellence. [3]

Introduction

The Innovative Research Award recognizes scholarly activity demonstrating relevance, methodological engagement and measurable academic contribution. SUPRIYA KRISHNAN’s profile is examined through available bibliometric indicators and research specialization in Human Resources Analytics. Such evaluation provides a structured perspective on publication output, citation visibility and potential contribution to data-driven research. [1]

Research Profile

SUPRIYA KRISHNAN is affiliated with Patna University, India, with research interests associated with Human Resources Analytics. The available Scopus profile records 13 documents, 483 citations and an h-index of 7. These indicators provide a concise representation of documented scholarly productivity and citation-based research visibility.[2]

Research Contributions

The research profile reflects engagement with analytical approaches relevant to human resource management and organizational decision-making. Contributions in Human Resources Analytics may support evidence-based understanding of workforce-related issues through systematic research and data interpretation. The documented scholarly record provides an identifiable basis for assessing academic contribution and disciplinary relevance.[3]

Publications

The available Scopus record attributes 13 documents to the researcher profile. Publication output represents documented scholarly activity and provides a foundation for bibliometric assessment. Citation relationships associated with these works indicate their visibility within the scholarly literature, while the h-index summarizes sustained citation performance across multiple publications. [2]

Research Impact

The profile records 483 citations and an h-index of 7, indicating measurable citation recognition for the documented research output. Bibliometric indicators do not independently define research quality, but they provide useful evidence regarding scholarly visibility and influence when interpreted alongside subject context, publication practices and qualitative academic assessment. [1]

Award Suitability

Based on the available profile information, SUPRIYA KRISHNAN demonstrates documented publication activity, citation visibility and specialization relevant to data-driven academic research. These characteristics provide reasonable grounds for consideration for the Innovative Research Award, subject to the event’s formal eligibility criteria, independent review procedures and verification of submitted academic evidence. [3]

Conclusion

SUPRIYA KRISHNAN’s available academic profile presents measurable scholarly activity through publications, citations and an established h-index. The research specialization in Human Resources Analytics further provides disciplinary context. Overall, the documented information supports academic consideration for innovation-focused recognition, while final assessment should remain dependent on independent verification and formal evaluation criteria. [1]

References

  1. Longitudinal effects of ethical AI pedagogy on AI literacy, moral competence, and educational equity in Indian higher education: A three-year mixed-methods study with implications for academic libraries (NEP 2020 alignment).
    https://www.researchgate.net/publication/406165319_Longitudinal_effects_of_ethical_AI_pedagogy_on_AI_literacy_moral_competence_and_educational_equity_in_Indian_higher_education_A_three-year_mixed-methods_study_with_implications_for_academic_libraries_
  2. Decolonizing Mental Health in Humanitarian Crises: A Mixed-Methods Synthesis of Cultural Resilience and Structural Equity in India and the Global South.
    https://www.researchgate.net/publication/406031776_Decolonizing_Mental_Health_in_Humanitarian_Crises_A_Mixed-Methods_Synthesis_of_Cultural_Resilience_and_Structural_Equity_in_India_and_the_Global_South
  3. Comparative Effectiveness of Mind-Body Exercise Versus Cognitive Behavioral Therapy for College Students with Problematic Smartphone Use: A Randomized Controlled Trial
    .
    https://www.researchgate.net/publication/346053800_Comparative_Effectiveness_of_Mind-Body_Exercise_Versus_Cognitive_Behavioral_Therapy_for_College_Students_with_Problematic_Smartphone_Use_A_Randomized_Controlled_Trial

Wael Badawy | Crypto | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Wael Badawy — School of Artifiicial Intelligence, Egypt

Wael Badawy
Affiliation School of Artifiicial Intelligence
Country Egypt
Scopus ID 57225760311
Documents 265
Citations 2,348
h-index 21
Subject Area Crypto
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0003-0251-9124

Wael Badawy is a researcher affiliated with the School of Artifiicial Intelligence in Egypt, with a documented research profile associated with crypto-related subject areas. The supplied Scopus information records 265 documents, 2,348 citations, and an h-index of 21. These indicators provide a bibliometric context for evaluating the researcher’s scholarly profile. [1]

Abstract

This academic recognition profile presents Wael Badawy in connection with the Innovative Research Award and the International Research Data Analysis Excellence & Awards. His supplied bibliometric record includes 265 documents, 2,348 citations, and an h-index of 21. The profile emphasizes documented scholarly activity and research relevance without extending beyond the supplied evidence. [1]

Keywords

  • Innovative Research
  • Crypto
  • Research Data Analysis
  • Artificial Intelligence
  • Bibliometrics
  • Scholarly Impact
  • Research Excellence

Introduction

Wael Badawy’s research profile is presented within an academic recognition framework emphasizing innovation, data analysis, and technology-oriented scholarship. His listed affiliation is the School of Artifiicial Intelligence in Egypt, while the supplied subject classification is Crypto. Bibliometric information provides context for assessing research activity and scholarly visibility across documented academic outputs. [1]

Research Profile

The supplied researcher profile identifies Wael Badawy with the School of Artifiicial Intelligence and associates his scholarly activity with Crypto. The reported Scopus record contains 265 documents, 2,348 citations, and an h-index of 21. ORCID provides an additional persistent identifier supporting researcher identity and scholarly record discoverability across systems. [2]

Research Contributions

The documented research contribution profile can be considered through publication volume, citation activity, and subject specialization. With 265 listed documents and 2,348 citations, the supplied record indicates sustained scholarly output and measurable academic visibility. The Crypto subject area further identifies a specialized research direction within technology-oriented academic investigation and analysis. [1]

Publications

The supplied Scopus profile reports 265 documents associated with Wael Badawy. This figure represents the documented publication output available through the provided author record rather than a manually curated bibliography. Individual publication titles, journal details, and verified DOI identifiers should be consulted directly through authoritative scholarly databases before being cited as specific works. [3]

Research Impact

Research impact in this profile is represented primarily through supplied bibliometric indicators. The reported 2,348 citations and h-index of 21 provide quantitative measures of scholarly visibility and citation influence within indexed research literature. Such indicators should be interpreted alongside publication quality, field norms, collaboration patterns, and individual research contributions when assessing overall academic impact. [2]

Award Suitability

The supplied profile presents several factors relevant to consideration for an Innovative Research Award, including a substantial documented publication record, citation activity, and a defined technology-related subject area. Final eligibility should remain subject to the official award criteria, nomination requirements, evidence submitted by the researcher, and independent evaluation by the responsible award committee. [1]

Conclusion

Wael Badawy’s supplied academic profile combines an established publication record with measurable citation activity and specialization in Crypto. The reported Scopus indicators provide a concise quantitative foundation for recognition, while ORCID supports researcher identification. Consideration for the Innovative Research Award should ultimately depend on verified evidence, scholarly merit, and applicable evaluation criteria. [3]

References

  1. Criminal confrontation of cryptocurrency and artificial intelligence crimes: an analytical study in Egyptian and comparative legislation.
    https://link.springer.com/article/10.1007/s43681-026-01258-1
  2. Hierarchical adaptive structured mesh for video codec: a structured and systematic survey of geometry-aware motion modeling and hybrid neural extensions.
    https://link.springer.com/article/10.1007/s11042-026-21556-4
  3. Automatic License Plate Recognition (ALPR): A State-of-the-Art Review.
    https://www.researchgate.net/publication/260665254_Automatic_License_Plate_Recognition_ALPR_A_State-of-the-Art_Review

Saeed Banaeian Far | Bioinformatics | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Saeed Banaeian Far – Blockchain and Metaverse research lab

Saeed Banaeian Far
Affiliation Blockchain and Metaverse research lab
Country Iran
Scopus ID 57203846778
Documents 37
Citations 736
h-index 11
Subject Area Bioinformatics
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0003-2520-8492

Saeed Banaeian Far is a researcher affiliated with the Blockchain and Metaverse research lab in Iran, with a stated subject area of Bioinformatics. Available researcher-profile information records 37 documents, 736 citations, and an h-index of 11. These indicators provide a quantitative context for considering research activity and scholarly visibility in relation to the Innovative Research Award. [1]

Abstract

Saeed Banaeian Far is presented in the context of an Innovative Research Award for research associated with Bioinformatics and data-oriented scientific inquiry. The supplied profile indicates 37 documents, 736 citations, and an h-index of 11. These indicators offer a concise basis for documenting scholarly activity, research visibility, and potential recognition within an academic awards framework. [2]

Keywords

  • Bioinformatics
  • Research Data Analysis
  • Computational Research
  • Scholarly Impact
  • Research Innovation
  • Digital Research

Introduction

Bioinformatics integrates computational methods with biological research, enabling researchers to organize, analyze, and interpret complex scientific datasets. Within this interdisciplinary environment, data-driven approaches support reproducible investigation and evidence-based discovery. Saeed Banaeian Far’s supplied academic profile places his research within Bioinformatics and provides measurable indicators of scholarly activity for award consideration. [3]

Research Profile

Saeed Banaeian Far is affiliated with the Blockchain and Metaverse research lab in Iran and is identified with the subject area of Bioinformatics. The supplied Scopus information lists 37 documents, 736 citations, and an h-index of 11. His ORCID record provides a persistent researcher identifier that can assist with scholarly identity management and attribution. [2]

Research Contributions

The available information indicates sustained scholarly activity through a documented body of research publications and associated citation records. In Bioinformatics, contributions may involve computational analysis, structured data interpretation, digital methods, and interdisciplinary research. Specific contributions should be assessed through individual publications, methodologies, datasets, and documented findings rather than citation indicators alone. [3]

Publications

The supplied profile reports 37 scholarly documents associated with the researcher. A complete publication assessment would consider article topics, journals, authorship roles, methodological originality, datasets, citations, and reproducibility. Because individual publication titles and DOI records were not supplied, this page does not attribute specific findings or publications beyond the documented bibliometric information. [1]

Research Impact

The supplied bibliometric indicators report 736 citations and an h-index of 11, providing measurable evidence of scholarly visibility within indexed research literature. Such indicators can help contextualize research influence, although they do not independently establish scientific quality or societal impact. A balanced assessment should combine quantitative metrics with publication quality, reproducibility, and substantive research outcomes. [2]

Award Suitability

The Innovative Research Award can be considered in relation to documented research activity, interdisciplinary relevance, scholarly outputs, and measurable academic impact. The supplied profile demonstrates a defined Bioinformatics subject area, 37 documents, 736 citations, and an h-index of 11. Final award suitability should additionally be determined through the event’s official evaluation criteria and submitted evidence. [1]

Conclusion

Saeed Banaeian Far’s supplied profile presents an academic record associated with Bioinformatics and research data-oriented scholarship. The reported publication and citation indicators provide a useful quantitative overview of research activity and visibility. Further evaluation of individual studies, methodological contributions, collaboration, and reproducibility would provide a more comprehensive basis for assessing innovation and award-level research achievement. [2]

References

  1. Emp-secure data storage through biohybrid and neuromorphic paradigms.
    https://link.springer.com/article/10.1007/s42452-026-08627-9
  2. Toward Metaverse of everything: Opportunities, challenges, and future directions of the next generation of visual/virtual communications.
    https://www.researchgate.net/publication/371277626_Toward_Metaverse_of_everything_Opportunities_challenges_and_future_directions_of_the_next_generation_of_visualvirtual_communications
  3. Rebellious AI can be controlled by submissive AI: an overview of background, identifying major problems, and taxonomizing possible solutions.
    https://link.springer.com/article/10.1007/s10462-026-11567-w

Asadi Srinivasulu | Data Analysis | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Asadi Srinivasulu — Optficial Labs
Asadi Srinivasulu
Affiliation Optficial Labs
Country India
Scopus ID 57191070975
Documents 71
Citations 464
h-index 11
Subject Area Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-5252-3669

The Innovative Research Award profile recognizes Asadi Srinivasulu of Optficial Labs, India, for documented scholarly activity associated with data analysis. The available bibliometric information reports 71 documents, 464 citations, and an h-index of 11 through the referenced Scopus author profile, providing a measurable basis for academic recognition and research assessment. [1]

Abstract

This article presents an academic recognition profile for Asadi Srinivasulu in connection with the Innovative Research Award. The profile summarizes available affiliation, bibliometric indicators, research subject classification, publication activity, and identifiers. The assessment is presented in a neutral scholarly format based on publicly referenced researcher-profile information. [2]

Keywords

Asadi Srinivasulu; Innovative Research Award; Data Analysis; Research Metrics; Bibliometrics; Scopus; ORCID; Research Publications; Citation Impact; International Research Data Analysis Excellence & Awards.

Introduction

Academic recognition commonly considers publication activity, citation performance, research visibility, and subject relevance. Asadi Srinivasulu’s available Scopus indicators provide a quantitative overview of documented scholarly output in data analysis. Such bibliometric measures support structured evaluation when interpreted alongside researcher identity and disciplinary context. [1]

Research Profile

Asadi Srinivasulu is affiliated with Optficial Labs in India and is associated with the subject area of Data Analysis. The available researcher profile identifies Scopus Author ID 57191070975 and an ORCID identifier, enabling persistent identification and access to scholarly records. [2]

Research Contributions

The documented research record indicates sustained scholarly engagement reflected through indexed publications and citation activity. Within the stated data analysis subject area, the available metrics provide evidence of research dissemination and subsequent scholarly referencing. Detailed contribution assessment should remain connected to the underlying indexed publication record. [3]

Publications

The available Scopus profile reports 71 documents associated with the researcher identifier. This publication count represents the indexed record available through the referenced author profile and offers a quantitative foundation for examining scholarly productivity, citation relationships, publication sources, and relevant article-level DOI records. [2]

Research Impact

The profile reports 464 citations and an h-index of 11, indicating that the indexed publication record has received measurable scholarly attention. These indicators provide a comparative perspective on citation performance, although bibliometric interpretation should consider publication year, discipline, database coverage, and methodological limitations. [3]

Award Suitability

Based on the supplied affiliation, research area, indexed publication count, citation record, and persistent researcher identifiers, the profile presents documented criteria relevant to academic recognition. The Innovative Research Award suitability may therefore be considered within a structured evaluation process emphasizing research activity, impact evidence, and disciplinary relevance. [1]

Conclusion

The available profile information presents a concise record of scholarly activity associated with Asadi Srinivasulu and Data Analysis. With 71 indexed documents, 464 citations, and an h-index of 11, the record provides measurable evidence for consideration within the International Research Data Analysis Excellence & Awards framework. [1]

References

  1. Diagnosis of Pneumonia from Chest X-Ray Images Using Federated Learning.
    https://link.springer.com/chapter/10.1007/978-981-96-1188-1_3
  2. Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigation.
    https://www.nature.com/articles/s41598-025-92676-4
  3. Obesity Risk Prediction Using Explainable Stacked Machine Learning with Lime Insights
    https://www.researchgate.net/publication/402127872_Obesity_Risk_Prediction_Using_Explainable_Stacked_Machine_Learning_with_Lime_Insights

Siphokazi ngcinela | Agricultural Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Siphokazi ngcinela – University of South Africa – Unisa Science Campus

Siphokazi ngcinela
Affiliation University of South Africa – Unisa Science Campus
Country South Africa
Scopus ID 57207996206
Documents 3
Citations 12
h-index 1
Subject Area Agricultural Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-5138-4487

Siphokazi ngcinela is affiliated with the University of South Africa – Unisa Science Campus and is associated with research activity in Agricultural Data Analysis. The available bibliometric information identifies a Scopus author record containing three indexed documents, twelve citations, and an h-index of one, providing a concise basis for scholarly profile assessment. [1]

Abstract

This article presents an academic recognition profile of Siphokazi ngcinela, affiliated with the University of South Africa – Unisa Science Campus. The profile considers available bibliometric indicators, research orientation in Agricultural Data Analysis, publication activity, and potential relevance to the International Research Data Analysis Excellence & Awards. [2]

Keywords

Agricultural Data Analysis; bibliometrics; research evaluation; scholarly publications; Scopus; ORCID; research impact; academic recognition; South Africa; data-driven research. [1]

Introduction

Agricultural Data Analysis supports evidence-based investigation by applying analytical approaches to agricultural information, research observations, and measurable outcomes. Siphokazi ngcinela’s available scholarly identifiers and indexed record provide a documented basis for reviewing research activity, publication visibility, and academic contribution within this broad interdisciplinary area. [3]

Research Profile

The available research profile identifies Siphokazi ngcinela with the University of South Africa – Unisa Science Campus in South Africa. The associated Scopus author record lists three documents, twelve citations, and an h-index of one, while the ORCID identifier provides an additional persistent scholarly identity. [2]

Research Contributions

Available profile information indicates scholarly activity connected with Agricultural Data Analysis. Research contributions in this area may involve the systematic interpretation of agricultural datasets, analytical evaluation of research evidence, and communication of findings through scholarly outputs. The available indexed record documents participation in formal research dissemination. [3]

Publications

The Scopus author information associated with Siphokazi ngcinela records three indexed documents. These publications constitute the currently available bibliometric evidence for assessing publication activity. Specific publication titles, journal details, and DOI metadata should be verified directly through the linked Scopus record and associated publication pages. [1]

Research Impact

The available Scopus metrics report twelve citations and an h-index of one. These indicators provide a limited quantitative perspective on the visibility and use of indexed publications. Bibliometric measures should be interpreted alongside disciplinary context, publication age, research scope, collaboration patterns, and qualitative evidence of contribution. [2]

Award Suitability

The documented affiliation, persistent researcher identifier, indexed publications, and measurable citation record provide relevant information for consideration within the International Research Data Analysis Excellence & Awards. Award suitability may be assessed through a balanced review of scholarly outputs, research relevance, methodological contribution, and the event’s established evaluation criteria. [3]

Conclusion

Siphokazi ngcinela’s available academic profile presents documented affiliation with the University of South Africa – Unisa Science Campus, supported by Scopus and ORCID identifiers. The indexed publication and citation record offers a measurable foundation for academic review, while additional qualitative assessment can provide broader context for recognition. [2]

References

  1. Mapping the Land Use Changes in Cultivation Areas of Maize and Soybean from 2006 to 2017 in the North West and Free State Provinces, South Africa.
    https://www.mdpi.com/2073-4395/14/5/1002
  2. Does farm location matter? Assessing emerging farmers’ climate change awareness in South Africa.
    https://www.sciencedirect.com/org/science/article/abs/pii/S030682932500062X
  3. Elsevier. (n.d.). Scopus author details: Siphokazi ngcinela, Author ID 57207996206. Scopus..
    https://www.scopus.com/pages/authors/57207996206

Christian Schachtner | Knowledge Management | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Christian Schachtner — Hochschule RheinMain, Germany

Christian Schachtner
Affiliation Hochschule RheinMain
Country Germany
Scopus ID 58199741900
Documents 28
Citations 14
h-index 3
Subject Area Knowledge Management
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-5332-6280

Christian Schachtner is affiliated with Hochschule RheinMain in Germany and is associated with research in the area of knowledge management. The available bibliographic profile records 28 documents, 14 citations, and an h-index of 3. These indicators provide a concise bibliometric basis for considering the researcher within an academic recognition framework.[1]

Abstract

This article presents an academic recognition profile of Christian Schachtner, Hochschule RheinMain, Germany, with emphasis on knowledge management and documented bibliometric indicators. The profile records 28 documents, 14 citations, and an h-index of 3. The information provides a structured basis for assessing research activity, scholarly visibility, and potential award suitability.[1]

Keywords

Knowledge management; research analytics; bibliometrics; scholarly publications; citation analysis; research impact; academic recognition; Hochschule RheinMain; Scopus; ORCID.

 Introduction

Knowledge management research examines how organizations create, organize, share, and apply knowledge to support learning and informed decision-making. Christian Schachtner’s profile is situated within this broad field, with bibliographic evidence indicating an established publication record. The available Scopus information provides a quantitative reference point for reviewing his scholarly activity and recognition potential.[2]

Research Profile

Christian Schachtner is affiliated with Hochschule RheinMain, Germany, and is identified in the supplied profile as a researcher in Knowledge Management. His Scopus author record contains 28 documents, 14 citations, and an h-index of 3. His ORCID identifier provides an additional persistent mechanism for distinguishing his scholarly record and research activities.[2]

Research Contributions

The documented contribution profile can be assessed through publication volume, citation activity, and subject-area alignment. Twenty-eight indexed documents indicate sustained scholarly output, while fourteen citations and an h-index of three provide measurable evidence of subsequent scholarly use. These indicators should be interpreted as bibliometric measures rather than comprehensive measures of research quality or societal contribution.[3]

Publications

The available Scopus profile reports 28 documents associated with the researcher. This publication count indicates a substantive indexed output within the available bibliographic record. Individual publication titles, journals, publication years, co-authorship patterns, and DOI information should be verified directly against the relevant bibliographic records before being used for detailed publication-level assessment.[1]

Research Impact

Research impact may be considered through several complementary indicators, including citations, h-index, publication continuity, and evidence of knowledge transfer. The profile records 14 citations and an h-index of 3, demonstrating measurable scholarly visibility in the indexed record. A balanced evaluation should combine these quantitative indicators with qualitative evidence concerning relevance, originality, and practical contribution.[3]

Award Suitability

The documented profile presents several indicators relevant to academic recognition, including 28 indexed documents, 14 citations, an h-index of 3, and a stated specialization in Knowledge Management. These measures support consideration within a research recognition process, while final award suitability should also account for originality, research quality, methodological contribution, relevance, and independently verifiable evidence beyond bibliometric counts.[1]

Conclusion

Christian Schachtner’s available academic profile reflects a documented research presence at Hochschule RheinMain in the field of Knowledge Management. The reported 28 documents, 14 citations, and h-index of 3 provide a concise quantitative foundation for academic assessment. Further evaluation can strengthen the recognition process by incorporating publication quality, research originality, collaboration, and demonstrated influence.[2]

 References

  1. Accompanying study of the development process towards a smart city strategy-with a particular focus on social change.
    https://www.researchgate.net/publication/378272819_Accompanying_study_of_the_development_process_towards_a_smart_city_strategy-with_a_particular_focus_on_social_change
  2. University Transfer Architectures for Smart Governance: A Regional Comparison of Scientific Community Building.
    https://www.mdpi.com/2076-3387/16/7/323
  3. User-Generated Content in Citizen Service Platforms. Proceedings of the National Academy of Sciences, 102
    https://link.springer.com/rwe/10.1007/978-3-658-46709-8_12-1

Any Rufaedah | Social Psychology | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Any Rufaedah – Universitas Nahdlatul Ulama Indonesia

Any Rufaedah
Affiliation Universitas Nahdlatul Ulama Indonesia
Country Indonesia
Scopus ID 57202058470
Documents 13
Citations 118
h-index 6
Subject Area Social Psychology
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-6966-1796

Any Rufaedah is a researcher affiliated with Universitas Nahdlatul Ulama Indonesia whose documented scholarly profile is associated with the subject area of Social Psychology. Available bibliographic information records 13 documents, 118 citations, and an h-index of 6, providing a quantitative basis for academic recognition. [1]

Abstract

This article presents a concise academic recognition profile of Any Rufaedah, affiliated with Universitas Nahdlatul Ulama Indonesia. The available Scopus record identifies 13 documents, 118 citations, and an h-index of 6 within Social Psychology. These bibliometric indicators provide a structured basis for describing research activity, visibility, scholarly contribution, and award suitability. [1]

Keywords

  • Any Rufaedah
  • Best Researcher Award
  • Social Psychology
  • Research Impact
  • Bibliometric Indicators
  • Scholarly Publications
  • International Research Data Analysis Excellence & Awards

Introduction

Academic recognition increasingly considers transparent evidence of scholarly productivity, citation visibility, and sustained research activity. Any Rufaedah’s indexed profile records 13 documents, 118 citations, and an h-index of 6, offering measurable indicators of scholarly presence. These data support an objective overview while acknowledging that bibliometric measures represent only one dimension of research quality. [1]

Research Profile

Any Rufaedah is affiliated with Universitas Nahdlatul Ulama Indonesia in Indonesia and is associated with Social Psychology. The available researcher identifiers include Scopus Author ID 57202058470 and ORCID 0000-0001-6966-1796. Together, these identifiers facilitate scholarly attribution, profile verification, and distinction between researchers across bibliographic and researcher-information systems. [2]

Research Contributions

The documented research contribution can be considered through publication activity and citation performance. Thirteen indexed documents indicate an established body of scholarly output, while 118 citations suggest measurable use of the researcher’s work within the indexed literature. The h-index of 6 further provides a standardized indicator of citation distribution across publications. [1]

Publications

The Scopus profile reports 13 documents associated with Any Rufaedah. These indexed publications constitute the available bibliographic basis for assessing research productivity in this profile. Specific article titles, journal details, publication years, and DOI identifiers were not supplied in the input data; therefore, individual publications and DOI records are not asserted beyond the documented Scopus publication count. [3]

 Research Impact

Research impact is reflected in the available citation indicators, with 118 citations recorded for the researcher’s indexed documents. An h-index of 6 indicates that at least six publications have each received six or more citations under the applicable database record. These indicators provide quantitative evidence of scholarly visibility without independently establishing broader societal or practical impact. [2]

Award Suitability

The available bibliometric record provides relevant evidence for consideration for a Best Researcher Award within the International Research Data Analysis Excellence & Awards framework. The combination of 13 documents, 118 citations, and an h-index of 6 demonstrates measurable scholarly activity. Final recognition should additionally consider research quality, originality, contribution, and eligibility requirements. [3]

Conclusion

Any Rufaedah’s available academic profile presents a measurable record of scholarly productivity and citation visibility in Social Psychology. The documented Scopus indicators—13 documents, 118 citations, and an h-index of 6—provide a concise quantitative foundation for academic recognition. These measures should be interpreted alongside qualitative evidence when determining overall research distinction. [1]

References

  1. “Theologization” of Psychology and “Psychologization” of Religion: How Do Psychology and Religion Supposedly Contribute to Prevent and Overcome Social Conflicts.
    https://www.sciencedirect.com/science/article/pii/S1878029614000656
  2. Increasing integrative complexity on convicted terrorists in Indonesia.
    https://www.researchgate.net/publication/326578700_Increasing_integrative_complexity_on_convicted_terrorists_in_Indonesia
  3. Influence of Five Types of Ecological Attachments on General Pro-environmental Behavior.
    https://www.sciencedirect.com/science/article/pii/S1877042813025093

VASSILIOS ROTHOS | Nonlinear Waves | Excellence in Research

Published on by Research Data Analysis

 

Excellence in Research

Vassilios Rothos – Aristotle University of Thessaloniki, Greece

Vassilios Rothos
Affiliation Aristotle University of Thessaloniki
Country Greece
Scopus ID 6602556662
Documents 55
Citations 639
h-index 15
Subject Area Nonlinear Waves
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0003-3354-1615

Vassilios Rothos is a researcher affiliated with Aristotle University of Thessaloniki, Greece, whose indexed scholarly record is associated with the subject area of nonlinear waves. The available bibliometric information records 55 documents, 639 citations, and an h-index of 15, providing a quantitative basis for considering research visibility and scholarly influence. [1]

Abstract

This article presents a concise academic recognition profile of Vassilios Rothos, affiliated with Aristotle University of Thessaloniki, Greece. The profile focuses on his indexed research record, scholarly output, citation performance, h-index, subject-area association with nonlinear waves, and relevance to research-data-driven academic evaluation. The documented metrics provide a structured basis for assessing scholarly visibility. [1]

Keywords

  • Vassilios Rothos
  • Nonlinear Waves
  • Research Data Analysis
  • Scholarly Impact
  • Bibliometrics
  • Citation Analysis
  • Research Excellence

Introduction

Research assessment increasingly combines publication records, citation indicators, and subject-specific evidence to describe scholarly performance. In nonlinear-wave research, quantitative analysis supports the interpretation of complex physical phenomena and mathematical models. Rothos’s indexed record provides measurable indicators for examining research activity and visibility within an established scholarly information environment. [2]

Research Profile

The available profile identifies Vassilios Rothos with Aristotle University of Thessaloniki and associates his research with nonlinear waves. His Scopus record contains 55 documents, 639 citations, and an h-index of 15. His ORCID identifier provides an additional persistent scholarly identity mechanism that supports researcher record identification and disambiguation. [3]

Research Contributions

The research profile can be considered within the broader study of nonlinear-wave phenomena, where analytical, computational, and quantitative approaches are used to investigate propagation, interaction, stability, and related dynamics. The documented publication and citation record indicates sustained scholarly activity, while subject-area classification provides a focused context for interpreting the researcher’s academic contribution. [2]

Publications

The indexed record reports 55 documents associated with the researcher. Such records may encompass journal articles and other indexed scholarly outputs, although individual publication titles and document types are not specified in the supplied profile. Publication quantity therefore provides evidence of documented research activity, while bibliographic verification remains necessary for detailed publication-level assessment. [1]

 Research Impact

The recorded 639 citations and h-index of 15 provide quantitative indicators of scholarly visibility and citation-based influence. These measures are useful for structured evaluation but should be interpreted alongside field, career stage, publication patterns, collaboration, and citation practices. The indicators therefore support, rather than independently determine, an assessment of research impact. [2]

 Award Suitability

The documented research profile presents measurable scholarly activity, citation visibility, and a defined subject-area association with nonlinear waves. These characteristics are relevant to an award framework emphasizing research data, publication performance, and academic impact. Final recognition should nevertheless consider verified publication evidence, originality, methodological contribution, and the specific evaluation criteria of the International Research Data Analysis Excellence & Awards. [3]

Conclusion

Vassilios Rothos’s available scholarly profile demonstrates a documented record of research activity within nonlinear waves. The combination of 55 documents, 639 citations, and an h-index of 15 offers a quantitative foundation for academic recognition. A complete evaluation should integrate these indicators with verified research quality, originality, contribution, and disciplinary context. [1]

References

  1. Adiabatic perturbation theory for the F = 1 spinor nonlinear Schrödinger equation with nonvanishing boundary conditions.
    https://www.researchgate.net/publication/408289058_Adiabatic_perturbation_theory_for_the_F_1_spinor_nonlinear_Schrodinger_equation_with_nonvanishing_boundary_conditions
  2. Spectral Stability of Travelling Waves in a δ-Regularized Dissipative Sine-Gordon Equation.
    https://www.mdpi.com/2073-8994/18/3/512
  3. Travelling Waves in Hamiltonian Systems on 2D Lattices with Nearest Neighbor Interactions.
    https://www.researchgate.net/publication/386730082_Travelling_Waves_in_Hamiltonian_Systems_on_2D_Lattices_with_Nearest_Neighbor_Interactions