Jure Žabkar
About
In The Last Decade
Jure Žabkar
19 papers receiving 243 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 109
- Neurology 55
- Biomedical Engineering 31
- Physiology 23
- Orthopedics and Sports Medicine 21
Countries citing papers authored by Jure Žabkar
This map shows the geographic impact of Jure Žabkar'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 Jure Žabkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jure Žabkar more than expected).
Fields of papers citing papers by Jure Žabkar
This network shows the impact of papers produced by Jure Žabkar. 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 Jure Žabkar. The network helps show where Jure Žabkar may publish in the future.
Co-authorship network of co-authors of Jure Žabkar
This figure shows the co-authorship network connecting the top 25 collaborators of Jure Žabkar. A scholar is included among the top collaborators of Jure Žabkar 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 Jure Žabkar. Jure Žabkar 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 | 5 | |
| 3 | 5 | |
| 4 | 42 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 48 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 57 | |
| 16 | Argument Based Rule Learning | 6 |
| 17 | Argument based machine learning in a medical domain | 5 |
| 18 | 10 | |
| 19 | 25 | |
| 20 | 4 |
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.