Branko Kavšek
- Information Systems top 5%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Signal Processing top 10%
- Molecular Biology
- Co-authors
- Nada LavračLjupčo TodorovskiPeter FlachMatjaž KljunAlenka KavčičMichaël MrissaAndrej BrodnikJanez Žibert
- Topics
- Data Mining Algorithms and Applications (10 papers)Imbalanced Data Classification Techniques (5 papers)Rough Sets and Fuzzy Logic (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Machine Learning ResearchApplied Sciences
- Partner nations
- SloveniaUzbekistanUnited States
In The Last Decade
Branko Kavšek
16 papers receiving 333 citations
Peers
Comparison fields: 5 of 64
- Information Systems 223
- Artificial Intelligence 213
- Computational Theory and Mathematics 93
- Signal Processing 55
- Molecular Biology 27
Countries citing papers authored by Branko Kavšek
This map shows the geographic impact of Branko Kavšek'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 Branko Kavšek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Branko Kavšek more than expected).
Fields of papers citing papers by Branko Kavšek
This network shows the impact of papers produced by Branko Kavšek. 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 Branko Kavšek. The network helps show where Branko Kavšek may publish in the future.
Co-authorship network of co-authors of Branko Kavšek
This figure shows the co-authorship network connecting the top 25 collaborators of Branko Kavšek. A scholar is included among the top collaborators of Branko Kavšek 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 Branko Kavšek. Branko Kavšek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 2 | |
| 13 | 83 | |
| 14 | Subgroup Discovery with CN2-SD | 180 |
| 15 | ROC Analysis of Example Weighting in Subgroup Discovery. | 3 |
| 16 | 4 | |
| 17 | 17 |
About Branko Kavšek
Branko Kavšek is a scholar working on Information Systems, Computer Science Applications and Computational Theory and Mathematics, having authored 17 papers that have together received 355 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Imbalanced Data Classification Techniques (5 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Information Systems (223 citations), Artificial Intelligence (213 citations) and Computational Theory and Mathematics (93 citations). Branko Kavšek has collaborated with scholars based in Slovenia, Uzbekistan and United States. Frequent co-authors include Nada Lavrač, Ljupčo Todorovski, Peter Flach, Matjaž Kljun, Alenka Kavčič, Michaël Mrissa, Andrej Brodnik and Janez Žibert. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Machine Learning Research 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.