Best Review Article Award
Abdullah Al Hamid
King Faisal University, Saudi Arabia
| Abdullah Al Hamid |
| Affiliation |
King Faisal University |
| Country |
Saudi Arabia |
| Scopus ID |
55966812500 |
| Documents |
43 |
| Citations |
624 |
| h-index |
13 |
| Subject Area |
Health Professions |
| Event |
International Research Excellence Awards – Book of Award |
| ORCID |
0000-0002-7124-557X |
The Best Review Article Award recognizes scholarly contributions that demonstrate methodological rigor, analytical depth, and meaningful synthesis of scientific evidence. Abdullah Al Hamid of King Faisal University has established a research profile characterized by interdisciplinary investigations spanning health professions, public health, machine learning applications, nephrology, substance use studies, and evidence-based healthcare evaluation. His publication record reflects sustained engagement with contemporary research challenges and systematic approaches to scientific inquiry.[1]
Abstract
This article presents an academic overview of Abdullah Al Hamid’s research achievements and evaluates their relevance to the Best Review Article Award. His scholarly record demonstrates engagement with systematic reviews, evidence synthesis, public health research, and emerging applications of machine learning within healthcare contexts. The breadth of publications and citation performance indicate a measurable contribution to scientific knowledge dissemination and interdisciplinary research development.[2]
Keywords
Systematic Review, Health Professions, Evidence Synthesis, Public Health, Machine Learning, Drug Research, Academic Impact, Scholarly Excellence.
Introduction
Contemporary research environments increasingly require interdisciplinary approaches that integrate data science, healthcare evaluation, and evidence-based decision-making. Abdullah Al Hamid’s scholarly work reflects these priorities through publications addressing drug detection technologies, health screening utilization, substance abuse assessment, and educational analytics. Such research contributes to the broader understanding of healthcare outcomes and methodological innovation.[3]
Research Profile
With 43 indexed documents, 624 citations, and an h-index of 13, Abdullah Al Hamid has developed a recognized publication record within health-related disciplines. His research interests encompass nephrology, healthcare screening practices, substance misuse studies, spectroscopy-based detection systems, and machine learning methodologies. The diversity of topics demonstrates an ability to engage with both applied and theoretical research challenges.[1]
Research Contributions
- Systematic evaluation of albuminuria screening practices among adults with diabetes and hypertension.
- Investigation of steroid and illicit drug abuse within health and fitness communities.
- Application of machine learning algorithms for educational performance classification.
- Development of spectroscopy-based methods for drug detection in beverages.
- Assessment of hallucinogenic new psychoactive substances through digital and behavioral perspectives.
Publications
Representative publications include studies published in Journal of Drug Issues, BMC Nephrology, Emerging Trends in Drugs, Addictions, and Health, and the Lecture Notes on Data Engineering and Communications Technologies series. These works collectively illustrate engagement with systematic review methodologies, public health investigations, and technological innovation.[4]
Research Impact
The citation profile associated with Abdullah Al Hamid’s publications suggests sustained academic visibility and relevance. His research contributes evidence that may support healthcare policy evaluation, screening program effectiveness, substance abuse awareness, and the implementation of data-driven analytical techniques. The combination of review-based and empirical research strengthens the practical value of his scholarly portfolio.[5]
Award Suitability
The Best Review Article Award emphasizes scholarly synthesis, methodological transparency, and contribution to knowledge advancement. Abdullah Al Hamid’s record includes systematic reviews and evidence-based investigations addressing clinically and socially significant topics. The documented publication output, citation performance, and interdisciplinary scope support consideration for recognition within the International Research Excellence Awards – Book of Award program.[6]
Conclusion
Abdullah Al Hamid’s academic achievements demonstrate a sustained commitment to evidence-based research, interdisciplinary collaboration, and scholarly dissemination. His contributions to healthcare-related research, systematic review literature, and machine learning applications highlight a profile aligned with the objectives of academic excellence and research recognition programs.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Abdullah Al Hamid, Author ID 55966812500. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=55966812500
- Al Hamid, A. (2026). Effects and Toxicity of Hallucinogenic New Psychoactive Substances From the Perspectives of e-Psychonauts. Journal of Drug Issues.
DOI: https://doi.org/10.1177/00220426241283690
- Al Hamid, A. (2026). Classifying Students’ Performance in Mathematics in a Multicultural Primary School Using Machine Learning Algorithms.
DOI: https://doi.org/10.1007/978-981-96-7749-8_12
- Al Hamid, A. (2026). Detection of Drugs in Spiked Drinks Using Handheld Infrared and Raman Spectroscopy and Machine Learning Algorithms.
DOI: https://doi.org/10.1007/978-981-96-7749-8_27
- Al Hamid, A. (2026). Underutilization of albuminuria screening in adults with diabetes mellitus or hypertension: a systematic review and meta-analysis. BMC Nephrology.
DOI: https://doi.org/10.1186/s12882-025-04672-5
- Al Hamid, A. (2025). Steroid and illicit drug abuse in the health and fitness community: A systematic review of evidence. Emerging Trends in Drugs, Addictions, and Health.
DOI: https://doi.org/10.1016/j.etdah.2025.100172