Büşra Buran | Quantitative Research | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Büşra Buran
Affiliation Istanbul Technical University
Country Turkey
Scopus ID 57264867400
Documents 7
Citations 97
h-index 3
Subject Area Quantitative Research
Event Research Data Analysis Awards
ORCID 0000-0003-4086-8560
Büşra Buran
Istanbul Technical University, Turkey

Büşra Buran is a researcher affiliated with Istanbul Technical University whose scholarly activities focus on quantitative research and analytical methodologies. Her publication record, citation profile, and growing academic visibility demonstrate an active contribution to research supported by internationally recognized indexing services.[1]

Abstract

This article summarizes the academic profile of Büşra Buran in recognition of scholarly achievements relevant to the Best Researcher Award. The overview reflects publication activity, citation indicators, and contributions documented through internationally indexed academic databases.[1]

Keywords

Quantitative Research, Data Analysis, Scientific Publications, Citation Analysis, Research Performance, Academic Excellence, Scholarly Impact.

Introduction

Academic recognition is commonly supported by measurable research indicators together with evidence of sustained scientific contribution. Indexed publications, citation performance, and collaboration records provide objective references for evaluating research excellence.[2]

Research Profile

Büşra Buran has authored seven indexed documents with ninety-seven citations and an h-index of three according to available Scopus records. Her work demonstrates continued engagement with quantitative research supported by international scholarly communication standards.[1]

Research Contributions

Her research contributes to the advancement of quantitative methodologies through analytical investigation and evidence-based interpretation. These studies strengthen the understanding of data-driven approaches while encouraging reproducible and methodologically rigorous scientific practice.[3]

Publications

The publication portfolio includes peer-reviewed journal articles indexed in international databases. The documented research output demonstrates steady academic productivity and contributes to the visibility of institutional research within the broader scientific community.[4]

Research Impact

Citation metrics indicate that the published work has received recognition from subsequent studies. Such indicators, although not the sole measure of quality, provide useful evidence of scholarly influence and continuing relevance within the research community.[2]

Award Suitability

Based on documented publication metrics, citation performance, and research continuity, Büşra Buran demonstrates qualifications consistent with the evaluation criteria commonly applied for academic recognition programs such as the Research Data Analysis Awards.[5]

Conclusion

The available scholarly indicators present a concise profile of an active researcher contributing to quantitative research. Continued publication, collaboration, and citation growth may further enhance academic visibility and strengthen future research recognition opportunities.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Büşra Buran, Author ID 57264867400. Scopus.
    https://www.scopus.com/pages/authors/57264867400
  2. Gökaşar, I., Buran, B., & Dündar, S. (2018). Modelling the quality of bus services by using factor analysis on urban bus satisfaction survey data: Case of IETT.
  3. Buran, B. (2025). Passenger satisfaction modeling in public bus transportation based on business model approach: Ten city case studies. Case Studies on Transport Policy, 21, 101472.
  4. ORCID. (n.d.). Researcher Identifier Registry.
    https://orcid.org/0000-0003-4086-8560
  5. Buran, B. (2025). Evaluation of service quality in public transportation using a fuzzy hybrid method based on SERVQUAL approach: Istanbul case study. Journal of Intelligent Systems in Current Computer Engineering, 3(1).
    https://doi.org/10.2174/0130505070348805250219132412

Gosha Colquhoun | Innovation in Data Analysis | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Gosha Colquhoun
Edinburgh Napier University, United Kingdom

Gosha Colquhoun
Affiliation Edinburgh Napier University
Country United Kingdom
Scopus ID 60079888200
Documents 5
Citations 1
h-index 1
Subject Area Innovation in Data Analysis
Event Research Data Analysis Awards
ORCID 0000-0003-3857-2090

Gosha Colquhoun is affiliated with Edinburgh Napier University and contributes to research associated with innovation in data analysis and interdisciplinary academic investigation. The available scholarly profile demonstrates participation in internationally indexed publications and emerging research visibility through Scopus-indexed outputs and citation records.[1]

Abstract

This article summarizes the academic profile of Gosha Colquhoun and highlights scholarly activities related to innovation in data analysis. The overview reflects publication records, research engagement, and academic visibility documented through recognized indexing platforms.[1]

Keywords

Innovation, Data Analysis, Research Methods, Academic Publications, Scopus, Knowledge Discovery, Interdisciplinary Research, Research Impact.

Introduction

Innovation in data analysis supports evidence-based research across multiple disciplines by enabling accurate interpretation of complex information. Researchers working in this area contribute to methodological development and practical applications supported by scholarly publication.[2]

Research Profile

Gosha Colquhoun’s research profile includes five Scopus-indexed documents with an h-index of one and an emerging citation record. The available metrics indicate active participation in academic research and ongoing scholarly development.[1]

Research Contributions

The published work reflects contributions to innovation-oriented research with emphasis on analytical approaches and collaborative academic inquiry. These studies enhance understanding within relevant research domains while supporting future investigations.[3]

Publications

The publication portfolio demonstrates participation in peer-reviewed scholarly communication indexed through Scopus. These publications contribute to the dissemination of research findings and encourage continued academic collaboration.[1]

Research Impact

Current citation indicators represent an early stage of measurable academic impact while providing a foundation for future scholarly recognition. Continued publication activity is expected to strengthen research visibility and academic influence.[4]

Award Suitability

The research profile demonstrates commitment to innovation and scholarly dissemination, aligning with the objectives of the Research Data Analysis Awards. Academic productivity, institutional affiliation, and indexed publications provide a suitable basis for recognition.[5]

Conclusion

Gosha Colquhoun represents an emerging researcher contributing to innovation in data analysis through scholarly publications and academic engagement. Continued research activity is expected to expand both research impact and professional recognition within the academic community.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Gosha Colquhoun, Author ID 60079888200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60079888200
  2. ORCID. (n.d.). Research profile of Gosha Colquhoun.
    https://orcid.org/0000-0003-3857-2090
  3. Al Bayrakdar, A., Colquhoun, G., Dragone, M., McConnell, A., & Paterson, R. (2026). Co-designing a socially assistive robot intervention for diabetes self-management: Perspectives of adults living with diabetes. International Journal of Social Robotics. Advance online publication.
    https://link.springer.com/article/10.1007/s12369-026-01383-1
  4. Mawson, P., Morton, M., Walmsley, Z., Wafer, R., Hancock, H. C., Mossop, H., Al-Ashmori, S., Emerson, L. M., Smith, J., Colquhoun, G., et al. (2026). SHORTER trial: Protocol for a pragmatic, multicentre, randomised controlled trial of short-duration antibiotic therapy for critically ill patients with sepsis. BMJ Open. Advance online publication.
    https://bmjopen.bmj.com/content/16/3/e117142
  5. Colquhoun, G., Smith, J., & Ring, N. (2026). Invisible yet indispensable: Why clinical research nursing remains a neglected policy priority. Journal of Clinical Nursing. Advance online publication.

Ludivine Beaud-Henry | Descriptive Analytics | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Ludivine Beaud-Henry
Affiliation CHU de Clermont-Ferrand
Country France
Documents 3
Citations 11
Subject Area Descriptive Analytics
Event Research Data Analysis Awards
ORCID 0009-0001-6270-1289

Ludivine Beaud-Henry
CHU de Clermont-Ferrand , France

Ludivine Beaud-Henry is affiliated with CHU de Clermont-Ferrand, France, where her scholarly activities contribute to healthcare research and descriptive analytics. Her published work reflects an evidence-based approach to clinical investigation, emphasizing systematic data interpretation and meaningful healthcare outcomes. The academic profile demonstrates an emerging research record supported by peer-reviewed publications and measurable citation impact.[1]

Abstract

This article summarizes the academic profile of Ludivine Beaud-Henry, highlighting contributions to descriptive analytics within healthcare research. The available publication record demonstrates involvement in clinical investigations supported by systematic data analysis, scientific reporting, and interdisciplinary collaboration. Citation performance and scholarly dissemination indicate a developing research portfolio aligned with evidence-based medical practice and responsible scientific communication.[2]

Keywords

Descriptive Analytics, Clinical Research, Healthcare Data, Medical Science, Evidence-Based Medicine, Scientific Publications, Data Interpretation, Hospital Research.

Introduction

Modern healthcare research increasingly relies on descriptive analytics to organize clinical observations into meaningful evidence for patient care and medical decision-making. Researchers contribute by interpreting data accurately, publishing validated findings, and supporting collaborative scientific advancement across healthcare institutions.[3]

Research Profile

The research profile reflects participation in peer-reviewed clinical studies with measurable scholarly visibility. Published articles and citation records demonstrate commitment to scientific quality, responsible research practices, and continuous academic development within descriptive healthcare analytics.[1]

Research Contributions

Research activities emphasize systematic evaluation of clinical information to improve evidence interpretation, strengthen diagnostic understanding, and support reliable healthcare decision-making through structured descriptive analytics. Collaborative investigations with healthcare professionals encourage interdisciplinary knowledge exchange, improve research quality, and promote comprehensive analysis of complex clinical datasets within hospital-based studies.

Publications

The available publication record includes three indexed research documents addressing clinical and healthcare-related topics. These publications demonstrate consistent participation in scientific dissemination while contributing measurable citation performance within the academic community.[4]

Research Impact

Current bibliometric indicators include three scholarly documents and eleven citations, reflecting emerging academic recognition. These metrics illustrate continuing visibility while supporting future opportunities for broader scientific influence and interdisciplinary collaboration.[2]

Award Suitability

The research profile aligns with evaluation principles commonly associated with research excellence awards, including scientific integrity, publication quality, collaboration, and contribution to healthcare knowledge through descriptive analytics. These characteristics support consideration for academic recognition programs.[5]

Conclusion

Ludivine Beaud-Henry has established an emerging academic profile through clinical research, peer-reviewed publications, and measurable citation performance. Continued scholarly activity and interdisciplinary collaboration are expected to strengthen future research impact and scientific contributions.

External Links

References

  1. ORCID. (n.d.). Ludivine Beaud-Henry ORCID record.
    https://orcid.org/0009-0001-6270-1289
  2. Beaud-Henry, L., Mulliez, A., Renault, A., Bouton, K., Avan, P., & Giraudet, F. (2026). Exploring electrode montages to optimize the non-invasive clinical recording of auditory evoked AP/Wave I. Clinical Neurophysiology Practice. Advance online publication.
    https://www.researchgate.net/profile/Ludivine-Beaud-Henry
  3. Giraudet, F., Beaud-Henry, L., Ismail, S., Marx, M., & Legois, Q. (2026). Electrocochleography: Techniques and practical considerations. Neurophysiologie Clinique. Advance online publication.
    https://www.researchgate.net/profile/Ludivine-Beaud-Henry
  4. Giraudet, F., Mulliez, A., de Resende, L. M., Beaud, L., Benichou, T., Brusseau, V., Tauveron, I., & Avan, P. (2022). Impaired auditory neural performance, another dimension of hearing loss in type-2 diabetes mellitus. Diabetes & Metabolism, 48(6), Article 101360.

Dimitris Kavroudakis | Machine Learning Applications | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Dimitris Kavroudakis
University of the Aegean, Greece

Dimitris Kavroudakis
Affiliation University of the Aegean
Country Greece
Scopus ID 54966735900
Documents 53
Citations 490
h-index 12
Subject Area Machine Learning Applications
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-5782-3049

The Innovative Research Award recognizes researchers whose scholarly contributions demonstrate methodological advancement, interdisciplinary relevance, and measurable impact. Dimitris Kavroudakis of the University of the Aegean has established a research profile centered on machine learning applications, geospatial analytics, environmental monitoring, visualization technologies, and geoeducation. His publication record reflects sustained engagement with data-driven approaches for addressing contemporary scientific and societal challenges.[1]

Abstract

This article presents an overview of the academic achievements of Dimitris Kavroudakis, highlighting contributions in machine learning, environmental sensing, spatial analysis, and geospatial education. Through a combination of applied research and interdisciplinary collaboration, his work demonstrates the integration of advanced analytical techniques into real-world decision-making environments. Recent studies emphasize predictive modeling, sensor analytics, virtual reality applications, and geospatial visualization methodologies.[2]

Keywords

Machine Learning, Geospatial Analytics, Environmental Monitoring, Geoeducation, Data Visualization, Heritage Conservation, Spatial Intelligence, Predictive Modeling.

Introduction

Research in data-intensive disciplines increasingly depends on the integration of machine learning with spatial and environmental datasets. Dimitris Kavroudakis has contributed to this evolving landscape through studies that connect computational methods with geographic and environmental applications. His scholarly output reflects an emphasis on evidence-based analysis, innovation in visualization, and practical implementation of analytical frameworks.[3]

Research Profile

Affiliated with the University of the Aegean, Kavroudakis has developed a multidisciplinary research portfolio spanning machine learning applications, geospatial information systems, environmental monitoring, educational technologies, and spatial visualization. His Scopus-indexed publication record and citation metrics indicate consistent academic engagement and influence across related research communities.[1]

Research Contributions

  • Development of machine learning models for forecasting indoor microclimate conditions in heritage conservation environments.
  • Research on spatio-temporal approaches for distinguishing sensor anomalies from environmental events.
  • Applications of virtual reality technologies in geoeducation and geoscience communication.
  • Advancement of multiscale visualization methods for spatial motion and geospatial datasets.

Publications

  • Machine Learning-Based Forecasting of Indoor Microclimate Conditions for Heritage Conservation.
  • Distinguishing Sensor Errors from Environmental Events During Wildfire Pollution in Athens.
  • Virtual Reality in Geoeducation: The Case of the Lesvos Geopark.
  • Multiscale Visualization of Surface Motion Point Measurements Associated with Persistent Scatterer Interferometry.

Research Impact

The impact of Kavroudakis’s work is reflected in its applicability to environmental assessment, cultural heritage management, geospatial education, and data visualization. By incorporating machine learning and advanced analytics into practical contexts, his research contributes to the broader adoption of intelligent systems for scientific and policy-oriented decision support.[4]

Award Suitability

Dimitris Kavroudakis demonstrates characteristics commonly associated with recognition through the International Research Data Analysis Excellence & Awards program. These include interdisciplinary scholarship, measurable research impact, methodological innovation, and continued contribution to machine learning applications within environmental and geospatial domains. His publication portfolio provides evidence of both academic rigor and practical relevance.[5]

Conclusion

The academic record of Dimitris Kavroudakis reflects a sustained commitment to advancing machine learning applications and geospatial research methodologies. Through contributions spanning environmental analytics, educational innovation, and spatial intelligence, his work represents a noteworthy example of contemporary interdisciplinary scholarship deserving of professional recognition within international research communities.

References

  1. Elsevier. (n.d.). Scopus author details: Dimitris Kavroudakis, Author ID 54966735900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=54966735900
  2. Applied Sciences. (2026). Machine Learning-Based Forecasting of Indoor Microclimate Conditions for Heritage Conservation.
    DOI: https://doi.org/10.3390/app16126092
  3. European Journal of Geography. (2026). Distinguishing Sensor Errors from Environmental Events.
    DOI: https://doi.org/10.48088/ejg.s.zaf.17.1.212.230
  4. Interactive Learning Environments. (2024). Virtual Reality in Geoeducation: The Case of the Lesvos Geopark.
    DOI:https://doi.org/10.1080/10494820.2024.2374399
  5. ISPRS International Journal of Geo-Information. (2024). Multiscale Visualization of Surface Motion Point Measurements Associated with Persistent Scatterer Interferometry.
    DOI: https://doi.org/10.3390/ijgi13070236
  6. International Research Data Analysis Excellence & Awards. (n.d.). Award program information.
    researchdataanalysis.com

KAMURAN GÖRGÜN | Interdisciplinary Data Insights | Women Researcher Award

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Mrs. KAMURAN GÖRGÜN | Interdisciplinary Data Insights | Women Researcher Award

Skisehir Osmangazi University | Turkey

Assoc. Prof. Dr. Kamuran Görgün is a distinguished academic in chemistry at Eskişehir Osmangazi University, with extensive expertise in organic synthesis, nanomaterials, and spectroscopic analysis. She earned her PhD, MSc, and BSc in Chemistry from the same institution and has progressed from research assistant to associate professor. Her research focuses on semiconductor materials, dye-sensitized solar cells, and advanced molecular design. With over 90 publications, significant citations, and multiple funded projects, she has made notable contributions to materials science and renewable energy research. Dr. Görgün is also actively involved in teaching undergraduate and postgraduate courses and mentoring emerging researchers.

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Mahmoud fathy | Quantitative Research | Research Excellence Award

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Assist Prof Dr. Mahmoud fathy | Quantitative Research | Research Excellence Award

Epri | Egypt

Assist Prof Dr. Mahmoud Fathy Mubarak is an accomplished researcher and Associate Professor of Applied Physical Chemistry at the Egyptian Petroleum Research Institute, with extensive expertise in water treatment and desalination technologies. He holds a PhD from Banha University, focusing on nanostructured materials for highly saline water purification. With over a decade of progressive experience, he has contributed significantly to research, teaching, and advanced analytical services. Dr. Mubarak has supervised numerous master’s and doctoral theses and actively participates in sustainable water management initiatives, developing innovative nanocomposite materials for wastewater treatment, environmental protection, and industrial applications.

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Teddy Samo | Machine Learning Applications | Research Excellence Award

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Mr. Teddy Samo | Machine Learning Applications | Research Excellence Award

Kenyatta University | Kenya

Mr. Samo Teddy Miller is an experienced energy and development professional with over eight years of expertise in clean energy access, renewable energy systems, and donor-funded program implementation. Currently serving as a Technical Advisor at GIZ Kenya, he specializes in off-grid solar solutions, productive use of energy, and monitoring, evaluation, and learning (MEL) systems. With a strong background in energy engineering, he has successfully managed multi-stakeholder projects, budgets, and operational systems across diverse regions. His work emphasizes sustainable development, stakeholder engagement, and innovative energy solutions, contributing significantly to improving energy access in underserved communities.

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Kira Goeldner | Qualitative Research | Research Excellence Award

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Ms. Kira Goeldner | Qualitative Research | Research Excellence Award

Heidelberg University Hospital | Germany

Ms. Kira Göldner is a board-certified specialist in Radiology with extensive expertise in neuroradiology and advanced imaging techniques. Currently serving as a Senior Physician at Klinikum Darmstadt, she has built a strong clinical and academic foundation through her roles at Heidelberg University Hospital, where she specialized in MR neurography and ultrasound diagnostics. She completed her medical studies at Goethe University Frankfurt and has international clinical exposure across Mexico and Switzerland. Her research focuses on neuroimaging in multiple sclerosis, with award-winning presentations and a first-author publication under review. Multilingual and academically driven, she actively contributes to leading radiology conferences across Europe.

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Alin Marian Cazac | Material Engineering | Research Excellence Award

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Mr. Alin Marian Cazac | Material Engineering | Research Excellence Award

Gheorghe Asachi Technical University of Iasi | Romania

Cazac Alin Marian is an active researcher with a strong publication record indexed in the Web of Science Core Collection. he has authored 36 peer-reviewed publications, including 26 Web of Science–indexed articles, achieving an h-index of 4 and accumulating 59 citations. His scholarly work spans materials science, mechanical and applied engineering, corrosion protection, surface coatings, nanostructured materials, and sustainability-related engineering applications, with publications in high-impact journals such as Materials, Coatings, Metals, Applied Sciences, Energy, and Sustainability. His research contributions address both experimental and theoretical aspects of material behavior, including corrosion resistance, mechanical performance, thermal spraying, and multifractal material modeling. In addition to his publication activity, he serves as a verified peer reviewer for international journals, reflecting his recognized expertise and engagement within the global scientific community.

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Hayley Williams | Qualitative Research | Research Excellence Award

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Dr. Hayley Williams | Qualitative Research | Research Excellence Award

The University of Queensland | Australia

Dr. Hayley Williams is a Gamilaroi woman and Research Fellow at The University of Queensland with over a decade of experience in applied health psychology, trauma, and Indigenous health research. Her work focuses on improving social and emotional wellbeing (SEWB), post-traumatic growth, and access to culturally safe, trauma-informed care for people who have experienced traumatic injury or adversity, with a strong emphasis on Aboriginal and Torres Strait Islander children, young people, and families. Dr Williams holds a PhD from The University of Queensland and has led and contributed to major nationally funded projects supported by NHMRC and MRFF, including large-scale cohort studies and co-designed mental health and wellbeing initiatives. She is widely published in leading journals, actively translates research into practice, and provides leadership across multi-institutional research teams, advisory committees, and reconciliation initiatives. Her expertise spans Indigenous research methodologies, co-design, qualitative and quantitative analysis, and research implementation, and she is a sought-after speaker, educator, and mentor in Indigenous health, trauma recovery, and culturally responsive care.

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