Gregor Štiglic
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning in Healthcare 17
- Evolutionary Algorithms and Applications 7
- Machine Learning and Data Classification 5
-
- Mobile Health and mHealth Applications 8
- Co-authors
- Leona Cilar (24 shared papers)Peter Kokol (29 shared papers)Majda Pajnkihar (23 shared papers)Primož Kocbek (14 shared papers)Aziz Sheikh (5 shared papers)Leon Kopitar (9 shared papers)Lucija Gosak (29 shared papers)Dominika Vrbnjak (16 shared papers)
- Journals
- Scientific Reports (4 papers)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (4 papers)Journal of Medical Internet Research (3 papers)PeerJ (3 papers)Journal of Biomedical Informatics (3 papers)
- Partner nations
- SloveniaUnited KingdomUnited States
In The Last Decade
Gregor Štiglic
133 papers receiving 1.9k citations
Gregor Štiglic's Hit Papers
Peers
Comparison fields: 5 of 157
- Health Informatics 145
- Health Information Management 277
- Research and Theory 20
- Issues, ethics and legal aspects 18
- Artificial Intelligence 503
Countries citing papers authored by Gregor Štiglic
This map shows the geographic impact of Gregor Štiglic'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 Gregor Štiglic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Štiglic more than expected).
Fields of papers citing papers by Gregor Štiglic
This network shows the impact of papers produced by Gregor Štiglic. 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 Gregor Štiglic. The network helps show where Gregor Štiglic may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregor Štiglic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Early detection of type 2 diabetes mellitus using machine learning-based prediction models Hit paper breakdown → | 2020 | 250 |
| 2 | 2012 | 90 | |
| 3 | 2021 | 79 | |
| 4 | 2018 | 65 | |
| 5 | 2015 | 56 | |
| 6 | 2020 | 55 | |
| 7 | 2020 | 52 | |
| 8 | The ChatGPT effect and transforming nursing education with generative AI: Discussion paper Hit paper breakdown → | 2024 | 49 |
| 9 | 2017 | 48 | |
| 10 | 2024 | 46 | |
| 11 | 2010 | 38 | |
| 12 | 2020 | 38 | |
| 13 | 2022 | 38 | |
| 14 | 2016 | 33 | |
| 15 | 2019 | 32 | |
| 16 | 2019 | 30 | |
| 17 | 2017 | 30 | |
| 18 | 2023 | 29 | |
| 19 | 2017 | 27 | |
| 20 | 2009 | 27 |
About Gregor Štiglic
Gregor Štiglic is a scholar working on Artificial Intelligence, General Health Professions, Molecular Biology, Health Information Management and Information Systems, having authored 150 papers that have together received 2.0k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (17 papers), Artificial Intelligence in Healthcare (14 papers), Gene expression and cancer classification (13 papers), Mobile Health and mHealth Applications (8 papers), Artificial Intelligence in Healthcare and Education (8 papers), Data Mining Algorithms and Applications (7 papers), Evolutionary Algorithms and Applications (7 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Health Informatics (145 citations), Health Information Management (277 citations), Research and Theory (20 citations), Issues, ethics and legal aspects (18 citations) and Artificial Intelligence (503 citations). Gregor Štiglic has collaborated with scholars based in Slovenia, United Kingdom and United States. Frequent co-authors include Leona Cilar, Peter Kokol, Majda Pajnkihar, Primož Kocbek, Aziz Sheikh, Leon Kopitar, Lucija Gosak, Dominika Vrbnjak, Nino Fijačko and Katrien Verbert. Their work appears in journals such as Scientific Reports, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Journal of Medical Internet Research, PeerJ and Journal of Biomedical Informatics.
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.