Gregor Štiglic
- Artificial Intelligence top 5%
- General Health Professions top 5%
- Health Information Management top 0.5%
- Clinical Psychology top 10%
- Social Psychology top 10%
- Co-authors
- Leona CilarMajda PajnkiharPeter KokolAziz SheikhPrimož KocbekDominika VrbnjakLucija GosakLeon Kopitar
- Topics
- Artificial Intelligence in Healthcare (15 papers)Machine Learning in Healthcare (15 papers)Mobile Health and mHealth Applications (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- SloveniaUnited KingdomUnited States
In The Last Decade
Gregor Štiglic
114 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Artificial Intelligence 440
- General Health Professions 293
- Health Information Management 272
- Clinical Psychology 176
- Social Psychology 161
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-authorship network of co-authors of Gregor Štiglic
This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Štiglic. A scholar is included among the top collaborators of Gregor Štiglic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregor Štiglic. Gregor Štiglic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 42 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 33 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 67 | |
| 16 | 48 | |
| 17 | 15 | |
| 18 | 8 | |
| 19 | Readmission Classification Using Stacked Regularized Logistic Regression Models. | 3 |
| 20 | 12 |
About Gregor Štiglic
Gregor Štiglic is a scholar working on Issues, ethics and legal aspects, Health Informatics and Health Information Management, having authored 131 papers that have together received 1.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (15 papers), Machine Learning in Healthcare (15 papers) and Mobile Health and mHealth Applications (10 papers). The work is most often cited by research in Health Informatics (140 citations), Health Information Management (272 citations) and Research and Theory (42 citations). Gregor Štiglic has collaborated with scholars based in Slovenia, United Kingdom and United States. Frequent co-authors include Leona Cilar, Majda Pajnkihar, Peter Kokol, Aziz Sheikh, Primož Kocbek, Dominika Vrbnjak, Lucija Gosak, Leon Kopitar, Nino Fijačko and Katrien Verbert. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.