Jure Žabkar

47 total papers · 574 total citations
20 papers, 248 citations indexed

About

Jure Žabkar is a scholar working on Artificial Intelligence, Neurology and Computer Networks and Communications. According to data from OpenAlex, Jure Žabkar has authored 20 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Neurology and 2 papers in Computer Networks and Communications. Recurrent topics in Jure Žabkar's work include AI-based Problem Solving and Planning (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Semantic Web and Ontologies (3 papers). Jure Žabkar is often cited by papers focused on AI-based Problem Solving and Planning (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Semantic Web and Ontologies (3 papers). Jure Žabkar collaborates with scholars based in Slovenia, Sweden and United Kingdom. Jure Žabkar's co-authors include Ivan Bratko, Martin Možina, Sašo Džeroski, Dag Nyholm, Aleksander Sadikov, Mevludin Memedi, Trevor Bench‐Capon, Filip Bergquist, Dietrich Haubenberger and Anders Johansson and has published in prestigious journals such as Scientific Reports, Sensors and Artificial Intelligence.

In The Last Decade

Jure Žabkar

18 papers receiving 233 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jure Žabkar	108	53	26	22	17	20	248
Robert F. Erlandson	23 0.2×	29 0.5×	61 2.3×	8 0.4×	5 0.3×	23	297
Ryan Cunningham	72 0.7×	9 0.2×	40 1.5×	13 0.6×	3 0.2×	27	258
Gongming Xu	43 0.4×	22 0.4×	12 0.5×	46 2.1×	4 0.2×	14	325
Yu Duan	117 1.1×	36 0.7×	13 0.5×	17 0.8×	3 0.2×	46	322
Carlo Dindorf	47 0.4×	3 0.1×	48 1.8×	11 0.5×	16 0.9×	35	208
Xuehai Ding	86 0.8×	50 0.9×	26 1.0×	12 0.5×	12 0.7×	24	262
Abdulkader Helwan	130 1.2×	25 0.5×	38 1.5×	7 0.3×	3 0.2×	22	323
Haejun Lee	125 1.2×	19 0.4×	12 0.5×	8 0.4×	10 0.6×	29	263
S. Matsunaga	127 1.2×	8 0.2×	11 0.4×	4 0.2×	11 0.6×	31	292
Erica Tavazzi	45 0.4×	8 0.2×	9 0.3×	12 0.5×	7 0.4×	17	168

Countries citing papers authored by Jure Žabkar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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