Branko Kavšek

809 total citations
17 papers, 355 citations indexed

About

Branko Kavšek is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Branko Kavšek has authored 17 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 9 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Branko Kavšek's work include Data Mining Algorithms and Applications (10 papers), Imbalanced Data Classification Techniques (5 papers) and Rough Sets and Fuzzy Logic (5 papers). Branko Kavšek is often cited by papers focused on Data Mining Algorithms and Applications (10 papers), Imbalanced Data Classification Techniques (5 papers) and Rough Sets and Fuzzy Logic (5 papers). Branko Kavšek collaborates with scholars based in Slovenia, Uzbekistan and United States. Branko Kavšek's co-authors include Nada Lavrač, Ljupčo Todorovski, Peter Flach, Alenka Kavčič, Matjaž Kljun, Michaël Mrissa, Andrej Brodnik and Janez Žibert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Machine Learning Research and Applied Sciences.

In The Last Decade

Branko Kavšek

16 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Branko Kavšek Slovenia 7 223 213 93 55 27 17 355
Cheng-Hsiung Weng Taiwan 9 143 0.6× 124 0.6× 71 0.8× 48 0.9× 10 0.4× 16 310
Esko Nuutila Finland 8 73 0.3× 132 0.6× 39 0.4× 59 1.1× 17 0.6× 20 330
Anna Formica Italy 8 101 0.5× 220 1.0× 127 1.4× 66 1.2× 45 1.7× 40 338
Ngamnij Arch‐int Thailand 9 127 0.6× 161 0.8× 20 0.2× 15 0.3× 18 0.7× 36 308
Ahmad Abdollahzadeh Barforoush Iran 8 196 0.9× 274 1.3× 49 0.5× 30 0.5× 58 2.1× 24 390
A. Tsakalidis Greece 7 57 0.3× 81 0.4× 29 0.3× 18 0.3× 28 1.0× 18 250
Byron J. Gao United States 12 198 0.9× 284 1.3× 32 0.3× 100 1.8× 47 1.7× 46 479
Tharam S. Dillon Australia 10 204 0.9× 159 0.7× 43 0.5× 52 0.9× 11 0.4× 38 307
Fangli Xu China 10 176 0.8× 311 1.5× 10 0.1× 25 0.5× 21 0.8× 17 401
Brij Masand United States 11 330 1.5× 365 1.7× 44 0.5× 41 0.7× 13 0.5× 22 595

Countries citing papers authored by Branko Kavšek

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
1.
Kavšek, Branko, et al.. (2023). ACMKC: A Compact Associative Classification Model Using K-Modes Clustering with Rule Representations by Coverage. Mathematics. 11(18). 3978–3978. 2 indexed citations
2.
Kavšek, Branko, et al.. (2023). Word Game Modeling Using Character-Level N-Gram and Statistics. Mathematics. 11(6). 1380–1380. 1 indexed citations
3.
Kavšek, Branko, et al.. (2022). The Effect of “Directness” of the Distance Metric to Produce Compact and Accurate Associative Classification Models. Applied Sciences. 12(18). 9055–9055. 1 indexed citations
4.
Mrissa, Michaël, et al.. (2022). Privacy-Preserving Data Mining on Blockchain-Based WSNs. Applied Sciences. 12(11). 5646–5646. 10 indexed citations
5.
Mrissa, Michaël, et al.. (2022). Privacy-Aware and Secure Decentralized Air Quality Monitoring. Applied Sciences. 12(4). 2147–2147. 5 indexed citations
6.
Kavšek, Branko, et al.. (2020). Coverage-Based Classification Using Association Rule Mining. Applied Sciences. 10(20). 7013–7013. 12 indexed citations
7.
Kavšek, Branko, et al.. (2020). Distance based clustering of class association rules to build a compact, accurate and descriptive classifier. Computer Science and Information Systems. 18(3). 791–811. 6 indexed citations
8.
Kavšek, Branko, et al.. (2020). A compact and understandable associative classifier based on overall coverage. Procedia Computer Science. 170. 1161–1167. 7 indexed citations
9.
Kavšek, Branko. (2017). UsingWords from Daily News Headlines to Predict the Movement of Stock Market Indices. SHILAP Revista de lepidopterología. 109–121. 1 indexed citations
10.
11.
Kljun, Matjaž, et al.. (2007). Evaluating Comparisons and Evaluations of Learning Management Systems. 363–368. 19 indexed citations
12.
Kavšek, Branko, et al.. (2007). Extending Traditional Learning by Enforcing Collaboration and Self-Assessment. 24. 387–392. 2 indexed citations
13.
Kavšek, Branko & Nada Lavrač. (2006). APRIORI-SD: ADAPTING ASSOCIATION RULE LEARNING TO SUBGROUP DISCOVERY. Applied Artificial Intelligence. 20(7). 543–583. 83 indexed citations
14.
Lavrač, Nada, Branko Kavšek, Peter Flach, & Ljupčo Todorovski. (2004). Subgroup Discovery with CN2-SD. Journal of Machine Learning Research. 5. 153–188. 180 indexed citations
15.
Kavšek, Branko, Nada Lavrač, & Ljupčo Todorovski. (2004). ROC Analysis of Example Weighting in Subgroup Discovery.. 55–60. 3 indexed citations
16.
Kavšek, Branko & Nada Lavrač. (2004). Using subgroup discovery to analyze the UK traffic data. 1(1). 249–264. 4 indexed citations
17.
Lavrač, Nada, Peter Flach, Branko Kavšek, & Ljupčo Todorovski. (2003). Adapting classification rule induction to subgroup discovery. 266–273. 17 indexed citations

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.

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