Pavel Chebotarev

91 total papers · 1.4k total citations
41 papers, 648 citations indexed

About

Pavel Chebotarev is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Statistical and Nonlinear Physics. According to data from OpenAlex, Pavel Chebotarev has authored 41 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 14 papers in Geometry and Topology and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Pavel Chebotarev's work include Graph theory and applications (14 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Network Analysis Techniques (7 papers). Pavel Chebotarev is often cited by papers focused on Graph theory and applications (14 papers), Opinion Dynamics and Social Influence (8 papers) and Complex Network Analysis Techniques (7 papers). Pavel Chebotarev collaborates with scholars based in Russia, Israel and France. Pavel Chebotarev's co-authors include Elena Shamis, Rafig Agaev, Konstantin Avrachenkov, Victor Kozyakin, Elena Deza, Pavel Shcherbakov, Dmitry Gubanov, R.B. Bapat, Federico Martín Ibáñez and David Peleg and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Systems Man and Cybernetics Systems and Annals of Operations Research.

In The Last Decade

Pavel Chebotarev

36 papers receiving 625 citations

Author Peers

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

Author Last Decade Papers Cites
Pavel Chebotarev 252 168 156 138 130 41 648
Clémence Magnien 340 1.3× 188 1.1× 132 0.8× 89 0.6× 21 0.2× 31 732
Anthony Bonato 202 0.8× 155 0.9× 149 1.0× 391 2.8× 156 1.2× 86 754
Shayan Oveis Gharan 78 0.3× 233 1.4× 140 0.9× 230 1.7× 67 0.5× 33 707
Juhani Nieminen 116 0.5× 76 0.5× 96 0.6× 299 2.2× 108 0.8× 43 618
Vinko Zlatić 451 1.8× 79 0.5× 86 0.6× 64 0.5× 32 0.2× 35 705
Aiyou Chen 346 1.4× 80 0.5× 228 1.5× 47 0.3× 48 0.4× 19 618
Qi Zhang 309 1.2× 50 0.3× 177 1.1× 73 0.5× 16 0.1× 30 630
Nino Antulov-Fantulin 275 1.1× 77 0.5× 118 0.8× 28 0.2× 16 0.1× 33 579
Michele Zito 59 0.2× 131 0.8× 177 1.1× 185 1.3× 29 0.2× 43 604
Walter A. Kosters 96 0.4× 63 0.4× 235 1.5× 98 0.7× 34 0.3× 50 703

Countries citing papers authored by Pavel Chebotarev

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Chebotarev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Chebotarev

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