Mohamed Elleuch | Health Statistics and Public Health Analysis | Best Researcher Award

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Best Researcher Award

Mohamed Elleuch
Affiliation FSS, Sfax
Country Tunisia
Scopus ID 56626761200
Documents 55
Citations 782
h-index 14
Subject Area Medical Image Processing
Event World Statistics Awards
ORCID 0000-0003-4702-7692

Mohamed Elleuch,
FSS, Sfax.

Mohamed Elleuch is a researcher affiliated with FSS, Sfax, Tunisia, whose scholarly profile is associated with medical image processing. His indexed research record comprises 55 documents, 782 citations, and an h-index of 14, providing a bibliometric basis for recognition through the Best Researcher Award. [1]

Abstract

Mohamed Elleuch is a Tunisia-based researcher at FSS, Sfax, working in the field of medical image processing. His Scopus-indexed profile records 55 documents, 782 citations, and an h-index of 14. These indicators provide measurable evidence of sustained scholarly activity and research visibility within his subject area. [1]

Keywords

Mohamed Elleuch; Medical Image Processing; Medical Imaging; Image Analysis; Computer-Aided Diagnosis; Research Metrics; Scopus; Biomedical Imaging; Statistical Analysis; World Statistics Awards.

Introduction

Medical image processing applies computational and analytical methods to extract meaningful information from medical images. Within this interdisciplinary field, Mohamed Elleuch has developed a research profile connected with image analysis and related computational approaches. His indexed scholarly record indicates sustained publication activity and measurable citation visibility. [1] [2]

Research Profile

Elleuch is affiliated with FSS, Sfax, Tunisia, and is associated with medical image processing as a principal subject area. His Scopus profile lists 55 documents and 782 citations, with an h-index of 14. These bibliometric measures describe the documented scale and citation reach of his research output. [1]

Research Contributions

Research in medical image processing contributes computational techniques for improving image interpretation, analysis, classification, and quantitative assessment. Elleuch’s scholarly record places his work within this broader interdisciplinary area, connecting computational image analysis with medical applications. His contribution can therefore be considered in relation to methodological development and the analysis of biomedical imaging data. [1] [2]

Publications

The Scopus-indexed record associated with Mohamed Elleuch contains 55 documents. Publication activity in a specialized research area provides a basis for evaluating scholarly continuity and contribution. The documented citation count of 782 further indicates that portions of this research output have been referenced within the scholarly literature. [1]

Research Impact

Research impact may be considered through publication productivity, citation activity, scholarly visibility, and contribution to a defined research field. Elleuch’s reported record of 55 documents, 782 citations, and an h-index of 14 provides quantitative indicators for assessing his academic footprint. These metrics should be interpreted alongside publication quality and research relevance. [1]

Award Suitability

The Best Researcher Award recognizes scholarly achievement based on evidence such as research productivity, citation performance, subject expertise, and academic contribution. Elleuch’s documented publication and citation record, together with his specialization in medical image processing, provides relevant evidence for consideration. Final suitability should also incorporate the award’s formal evaluation criteria and submitted documentation. [1] [3]

Conclusion

Mohamed Elleuch represents a research profile centered on medical image processing and supported by an established indexed publication record. With 55 documents, 782 citations, and an h-index of 14, his documented scholarly activity offers measurable evidence for academic recognition. Award assessment should consider these indicators alongside research quality and contribution. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Elleuch, Author ID 56626761200. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=56626761200

  2. Haddar, B., Elleuch, M. A., & Damak, C. (2026). Learning to search: A reinforcement learning agent for global optimization. In Applications of Evolutionary Computation: 29th European Conference, EvoApplications 2026.

    https://doi.org/10.1007/978-3-032-23604-3_2

  3. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/

Sibel Suzen Ozbayrak | Health Statistics and Public Health Analysis | Best Researcher Award

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Dr. Sibel Suzen Ozbayrak | Health Statistics and Public Health Analysis | Best Researcher Award

Health Science University Haydarpasa Numune Research and Training Hospital | Turkey

Dr. Sibel Suzen Ozbayrak is a Specialist in Physical Medicine and Rehabilitation at Haydarpaşa Numune Research and Training Hospital in Istanbul, Turkey. She holds a Bachelor’s degree in Physical Medicine and Rehabilitation and completed her residency at Istanbul University Cerrahpaşa Medical Faculty in 2014. Her research focuses on musculoskeletal disorders, including adhesive capsulitis, rotator cuff syndrome, fibromyalgia, and entrapment neuropathies. Dr. Ozbayrak has authored over 20 peer-reviewed articles, with several published in high-impact journals such as Clinica Terapeutica, Clinical Rheumatology, and Musculoskeletal Science and Practice. Her work has garnered significant attention, with her publications collectively cited over 30, and h-index 4, reflecting her contributions to advancing clinical practices in rehabilitation. Notably, her study on the effectiveness of therapeutic ultrasound in subacromial impingement syndrome has been cited extensively, underscoring its impact on the field. Dr. Özbayrak is actively involved in ongoing clinical trials, including investigations into the effects of kinesiotaping and prolotherapy in musculoskeletal conditions. She is also a consultant for thesis research projects at her institution, demonstrating her commitment to academic mentorship and research development. Dr. Özbayrak’s dedication to integrating scientific research into clinical practice aims to enhance patient outcomes in physical medicine and rehabilitation.

Profile: Scopus 

Featured Publications

Suzen Ozbayrak, S., & Ozkok Akbulut, T. (2023). Restless leg syndrome in hidradenitis suppurativa patients: A cross-sectional study with current literature review. Medical Bulletin of Haseki, 61(1), 37–42.

Ozbayrak, S. S., Günay, B., Kandemir, E. U., Mesci, N., & Külcü, D. G. (2024). Bisphosphonates: Ally or enemy in the fight against rheumatological diseases? Two case reports. Turkish Journal of Osteoporosis, 30(2), 131–134.

Ozbayrak, S. S., Mesci, N., Sezgin, M. O., & Kulcu, D. G. (2024). A patient with axial spondylarthritis who experienced pancytopenia while receiving anti-TNF therapy. Clinical Rheumatology, 43(8), 2701–2705.

Ozbayrak, S. S., & Ozbayrak, M. (2025). Do cervical spine angles differ in patients with hypermobility who suffer from neck pain? Musculoskeletal Science and Practice, 103277.

Ozbayrak, S. S., Yorulmaz, E., & Kulcu, D. G. (2025). Is there an additional benefit of ultrasound-guided coracohumeral ligament hydrorelease in cases with primary adhesive capsulitis undergoing ultrasound-guided shoulder hydrodilatation? Clinical Rheumatology.

Hana Chen | Health Statistics and Public Health Analysis | Young Scientist Award

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Dr. Hana Chen | Health Statistics and Public Health Analysis | Young Scientist Award

Curtin University | Malaysia

Dr. Hana Chen Wei Jun is a Senior Lecturer and Chair for Learning and Teaching at the Faculty of Humanities and Health Sciences, Curtin University Malaysia, with a strong academic background in medicine and public health. She holds a Master of Science in Public Health from Management & Science University, Malaysia, where she graduated on the President’s List, and a Medical Degree from Pirogov Russian National Research Medical University, Russia. Her research interests span sustainable community development, healthy aging, food sustainability, disaster management, and public health nutrition, which align with her leadership roles in publications, community engagement projects, and Sustainable Development Goal (SDG) initiatives. Dr. Chen has published extensively in high-impact journals, contributing to collaborative works with The Lancet and other leading outlets, with 21 peer-reviewed articles to date. She has received multiple national and international recognitions, including the Best Oral Presenter Award (AIPHC 2023), the Outstanding Network Ambassador Award (WCPH 2023), and Curtin University Malaysia’s 2025 Research and Teaching Excellence Awards. Her contributions to teaching, mentoring, and research capacity building are further demonstrated through supervision of postgraduate and undergraduate projects. Dr. Chen has 292 citations, an h-index of 12, and an i10-index of 12, underscoring her growing impact in global public health scholarship.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Marzo, R. R., Chen, H., Abid, K., & Lin, Y.  Adapted digital health literacy and health information seeking behavior among lower income groups in Malaysia during the COVID-19 pandemic. Journal of Public Health, 44(3), 457–465.

Marzo, R. R., Chen, H., & Sapa, N. H. The evolving role of social media in enhancing quality of life: A global perspective across 10 countries. Archives of Public Health, 81(1), 1–10.

Chen, H., Marzo, R. R., Sapa, N. H., Ahmad, A., Anuar, H., & Baobaid, M. F.  Trends in health communication: Social media needs and quality of life among older adults in Malaysia. Healthcare, 11(10), 1455.

GBD 2023 Vaccine Coverage Collaborators. Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: A systematic analysis for the Global Burden of Disease Study 2023. The Lancet, 406(10500), 235–260.

Marzo, R. R., & Chen, H. Domain and perception on community resilience: Comparison between two countries. Frontiers in Public Health, 11, 1157837.