Best Researcher Award
Seoul National University Bundang Hospital, Seoul National College of Medicine
| JONG JIN OH | |
|---|---|
| Affiliation | Seoul National University Bundang Hospital, Seoul National College of Medicine |
| Country | South Korea |
| Scopus ID | 24468588100 |
| Documents | 164 |
| Citations | 2122 |
| h-index | 25 |
| Subject Area | Data-Driven Decision Making |
| Event | International AI Data Scientists Award |
| Scopus Profile | View Profile |
JONG JIN OH, affiliated with Seoul National University Bundang Hospital and Seoul National College of Medicine in South Korea, has demonstrated significant research productivity in the field of Data-Driven Decision Making through scholarly publications, citation impact, and international scientific engagement.[1] The researcher’s academic profile reflects continued participation in evidence-based analytical methodologies and healthcare-related computational research.[2]
Abstract
This article presents an academic overview of JONG JIN OH and the scholarly contributions associated with the Best Researcher Award. The evaluation highlights research productivity, citation performance, interdisciplinary collaboration, and contributions to Data-Driven Decision Making methodologies within healthcare and analytical sciences.[1] Bibliometric indicators demonstrate measurable international research visibility and sustained scientific engagement through peer-reviewed publication activity.[3]
Keywords
Data-Driven Decision Making, Healthcare Analytics, Medical Informatics, Artificial Intelligence, Clinical Research, Computational Medicine, Evidence-Based Analysis, Machine Learning, Predictive Modeling, Scientific Research
Introduction
Data-Driven Decision Making has become increasingly significant across healthcare, biomedical research, and artificial intelligence applications. The integration of computational methodologies and clinical analytics supports informed decision processes, predictive healthcare strategies, and evidence-based scientific practices.[4]
JONG JIN OH has contributed to research activities involving analytical methodologies, healthcare-oriented computational systems, and scientific evaluation frameworks. Through publication dissemination and collaborative research participation, the researcher has established measurable scholarly visibility within indexed international databases.[1]
Research Profile
The research profile of JONG JIN OH demonstrates sustained scholarly engagement in Data-Driven Decision Making and interdisciplinary healthcare research. According to indexed bibliometric databases, the researcher has authored or co-authored 164 scientific documents and accumulated 2122 citations, resulting in an h-index of 25.[1] These metrics indicate substantial academic participation and research dissemination within international scientific communities.
- Total indexed publications: 164
- Total citations: 2122
- h-index value: 25
- Research specialization in Data-Driven Decision Making and healthcare analytics
Research Contributions
The scholarly contributions associated with JONG JIN OH include participation in analytical healthcare research, predictive methodologies, computational medical systems, and evidence-based clinical evaluation frameworks.[2] Research activities within these domains support advancements in healthcare optimization, decision-support technologies, and scientific data interpretation.
Data-driven methodologies play an increasingly important role in medical sciences by supporting diagnosis optimization, patient outcome prediction, and evidence-guided healthcare management. Such interdisciplinary approaches integrate statistical analysis, machine learning, and computational frameworks into modern clinical research environments.[5]
- Contribution to healthcare-oriented analytical methodologies.
- Participation in computational medical research initiatives.
- Research involving evidence-based decision-support systems.
- Scientific dissemination through indexed peer-reviewed publications.
Publications
The publication record associated with JONG JIN OH reflects extensive scholarly activity within healthcare analytics, computational medicine, and data-driven scientific evaluation. Indexed publications contribute to the dissemination of interdisciplinary analytical methodologies and evidence-based healthcare research.[1]
- Research articles related to healthcare analytics and computational medicine.
- Peer-reviewed studies involving predictive and evidence-based methodologies.
- Collaborative publications across interdisciplinary healthcare research domains.
- Scientific dissemination through indexed journals and conference proceedings.
Research Impact
Research impact can be evaluated through citation performance, publication dissemination, collaborative engagement, and interdisciplinary relevance. The academic profile associated with JONG JIN OH demonstrates substantial scholarly visibility through 2122 citations and an h-index of 25.[1]
These bibliometric indicators suggest sustained scientific recognition and continued participation in international healthcare and analytical research discourse. Citation accumulation within indexed databases reflects the relevance of the researcher’s contributions to computational and evidence-based scientific methodologies.
Award Suitability
The Best Researcher Award recognizes scholars demonstrating sustained academic productivity, measurable scientific impact, and interdisciplinary research excellence. JONG JIN OH’s research profile aligns with these criteria through publication productivity, citation performance, and contributions to healthcare-oriented Data-Driven Decision Making methodologies.[3]
Recognition through international academic award platforms supports broader scientific visibility and encourages continued innovation within healthcare analytics and evidence-based computational research. The researcher’s academic record reflects substantial engagement with interdisciplinary scientific advancement.
Conclusion
JONG JIN OH has established a distinguished academic profile through contributions to Data-Driven Decision Making, healthcare analytics, and computational medical research. Publication productivity, citation performance, and interdisciplinary collaboration demonstrate sustained scholarly engagement within international scientific communities. The Best Researcher Award recognizes these achievements and highlights the importance of analytical methodologies within evolving healthcare and computational research environments.[1]
External Link
References
- Elsevier. (n.d.). Scopus author details: JONG JIN OH, Author ID 24468588100. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=24468588100&source=sd-apx
- Seoul National University Bundang Hospital. (n.d.). Research and clinical innovation overview.
https://www.snubh.org/
- International AI Data Scientists Award. (n.d.). International recognition framework for scientific excellence.
https://aidatascientists.com/
- Provost, F., & Fawcett, T. (2013). Data Science and its relationship to big data and data-driven decision making.
https://doi.org/10.1089/big.2013.1508
- Topol, E. (2019). High-performance medicine: the convergence of human and artificial intelligence.
https://doi.org/10.1038/s41746-019-0195-0