Leon Kopitar
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Machine Learning in Healthcare 4
- Imbalanced Data Classification Techniques 1
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- Artificial Intelligence in Healthcare 3
- Co-authors
- Gregor Štiglic (9 shared papers)Primož Kocbek (3 shared papers)Leona Cilar (2 shared papers)Aziz Sheikh (1 shared paper)Jiang Bian (2 shared papers)Iztok Fister (1 shared paper)Larissa J. Strath (1 shared paper)Peter Kokol (1 shared paper)
- Journals
- Scientific Reports (2 papers)JMIR Serious Games (1 paper)Journal of Biomedical Informatics (1 paper)Nutrients (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- SloveniaUnited KingdomUnited States
In The Last Decade
Leon Kopitar
9 papers receiving 278 citations
Leon Kopitar's Hit Papers
Peers
Comparison fields: 5 of 79
- Health Information Management 165
- Health Informatics 17
- Artificial Intelligence 150
- Complementary and alternative medicine 19
- Endocrinology, Diabetes and Metabolism 33
Countries citing papers authored by Leon Kopitar
This map shows the geographic impact of Leon Kopitar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leon Kopitar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Kopitar more than expected).
Fields of papers citing papers by Leon Kopitar
This network shows the impact of papers produced by Leon Kopitar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leon Kopitar. The network helps show where Leon Kopitar may publish in the future.
Co-authors
The 14 scholars most cited alongside Leon Kopitar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Early detection of type 2 diabetes mellitus using machine learning-based prediction models Hit paper breakdown → | 2020 | 250 |
| 2 | 2019 | 22 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 1 |
About Leon Kopitar
Leon Kopitar is a scholar working on Artificial Intelligence, Health Information Management, Physiology, Molecular Biology and Signal Processing, having authored 9 papers that have together received 288 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare (3 papers), Imbalanced Data Classification Techniques (1 paper), Simulation-Based Education in Healthcare (1 paper), Biomedical Text Mining and Ontologies (1 paper), Diet and metabolism studies (1 paper), Forecasting Techniques and Applications (1 paper) and Nutrition, Genetics, and Disease (1 paper). The work is most often cited by research in Health Information Management (165 citations), Health Informatics (17 citations), Artificial Intelligence (150 citations), Complementary and alternative medicine (19 citations) and Endocrinology, Diabetes and Metabolism (33 citations). Leon Kopitar has collaborated with scholars based in Slovenia, United Kingdom and United States. Frequent co-authors include Gregor Štiglic, Primož Kocbek, Leona Cilar, Aziz Sheikh, Jiang Bian, Iztok Fister, Larissa J. Strath, Peter Kokol, Robert Greif and Lucija Gosak. Their work appears in journals such as Scientific Reports, JMIR Serious Games, Journal of Biomedical Informatics, Nutrients and Lecture notes in computer science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.