Jure Žbontar

27 total papers · 5.7k total citations
6 papers, 1.4k citations indexed

About

Jure Žbontar is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jure Žbontar has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Jure Žbontar's work include Advanced MRI Techniques and Applications (2 papers), Medical Imaging Techniques and Applications (2 papers) and Total Knee Arthroplasty Outcomes (1 paper). Jure Žbontar is often cited by papers focused on Advanced MRI Techniques and Applications (2 papers), Medical Imaging Techniques and Applications (2 papers) and Total Knee Arthroplasty Outcomes (1 paper). Jure Žbontar collaborates with scholars based in United States, Israel and Slovenia. Jure Žbontar's co-authors include Lan Žagar, Miha Štajdohar, Janez Demšar, Marko Toplak, Lan Umek, Tomaž Curk, Marinka Žitnik, Blaž Zupan, Martin Možina and Tomaž Hočevar and has published in prestigious journals such as Radiology, Magnetic Resonance in Medicine and Journal of Machine Learning Research.

In The Last Decade

Jure Žbontar

6 papers receiving 1.4k citations

Hit Papers

Orange: data mining toolb... 2013 2026 2017 2021 2013 2023 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Jure Žbontar 233 224 217 144 98 6 1.4k
Lan Žagar 397 1.7× 98 0.4× 220 1.0× 114 0.8× 99 1.0× 8 1.5k
Miha Štajdohar 321 1.4× 67 0.3× 209 1.0× 137 1.0× 99 1.0× 9 1.4k
Tomaž Hočevar 304 1.3× 68 0.3× 268 1.2× 89 0.6× 103 1.1× 5 1.4k
Marko Toplak 334 1.4× 80 0.4× 223 1.0× 131 0.9× 100 1.0× 12 1.6k
Ying Xue 104 0.4× 125 0.6× 325 1.5× 135 0.9× 56 0.6× 6 1.4k
B. Michael Kelm 135 0.6× 298 1.3× 200 0.9× 246 1.7× 27 0.3× 19 1.3k
Jaime L. Speiser 187 0.8× 109 0.5× 221 1.0× 71 0.5× 61 0.6× 25 1.7k
Houtao Deng 148 0.6× 271 1.2× 630 2.9× 144 1.0× 64 0.7× 15 1.6k
Pantelis Linardatos 104 0.4× 193 0.9× 778 3.6× 92 0.6× 55 0.6× 6 1.8k
Vasilis Papastefanopoulos 104 0.4× 193 0.9× 778 3.6× 92 0.6× 55 0.6× 6 1.8k

Countries citing papers authored by Jure Žbontar

Since Specialization
Citations

This map shows the geographic impact of Jure Žbontar'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 Žbontar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jure Žbontar more than expected).

Fields of papers citing papers by Jure Žbontar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jure Žbontar. 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 Žbontar. The network helps show where Jure Žbontar may publish in the future.

Co-authorship network of co-authors of Jure Žbontar

This figure shows the co-authorship network connecting the top 25 collaborators of Jure Žbontar. A scholar is included among the top collaborators of Jure Žbontar 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 Žbontar. Jure Žbontar 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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