Uroš Čibej

10 papers and 124 indexed citations i.

About

Uroš Čibej is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Uroš Čibej has authored 10 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Uroš Čibej’s work include Graph Theory and Algorithms (5 papers), Distributed and Parallel Computing Systems (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Uroš Čibej is often cited by papers focused on Graph Theory and Algorithms (5 papers), Distributed and Parallel Computing Systems (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Uroš Čibej collaborates with scholars based in Slovenia, Australia and United States. Uroš Čibej's co-authors include Borut Robič, Rajkumar Buyya, Anthony Sulistio, Srikumar Venugopal, Sushil K. Prasad and Mojca Pavlin and has published in prestigious journals such as Journal of Microscopy, Symmetry and Parallel Computing.

In The Last Decade

Co-authorship network of co-authors of Uroš Čibej i

Fields of papers citing papers by Uroš Čibej

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uroš Čibej

Since Specialization
Citations

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

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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2025