František Babič
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Geriatrics and Gerontology top 10%
- Co-authors
- Ljiljana Trtica MajnarićJán ParaličAndreas HolzingerShane O’SullivanSanja BekićThomas WittlingerPeter ButkaIgor Filipčić
- Topics
- Artificial Intelligence in Healthcare (11 papers)Semantic Web and Ontologies (8 papers)Anomaly Detection Techniques and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Environmental Research and Public HealthApplied Sciences
In The Last Decade
František Babič
50 papers receiving 363 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 115
- Health Information Management 76
- Epidemiology 57
- Radiology, Nuclear Medicine and Imaging 41
- Geriatrics and Gerontology 37
Countries citing papers authored by František Babič
This map shows the geographic impact of František Babič'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 František Babič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites František Babič more than expected).
Fields of papers citing papers by František Babič
This network shows the impact of papers produced by František Babič. 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 František Babič. The network helps show where František Babič may publish in the future.
Co-authorship network of co-authors of František Babič
This figure shows the co-authorship network connecting the top 25 collaborators of František Babič. A scholar is included among the top collaborators of František Babič 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 František Babič. František Babič 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 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | Data Mining for Fog Prediction and Low Clouds Detection | 6 |
| 20 | 5 |
About František Babič
František Babič is a scholar working on Health Information Management, Geriatrics and Gerontology and Artificial Intelligence, having authored 63 papers that have together received 383 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (11 papers), Semantic Web and Ontologies (8 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Health Information Management (76 citations), Health Informatics (14 citations) and Geriatrics and Gerontology (37 citations). František Babič has collaborated with scholars based in Slovakia, Croatia and Germany. Frequent co-authors include Ljiljana Trtica Majnarić, Ján Paralič, Andreas Holzinger, Shane O’Sullivan, Sanja Bekić, Thomas Wittlinger, Peter Butka, Igor Filipčić, Tomáš Adam and Ivo Martinović. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Applied Sciences.
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.