Roman Belousov

74 total papers · 563 total citations
23 papers, 417 citations indexed

About

Roman Belousov is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Roman Belousov has authored 23 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 5 papers in Atomic and Molecular Physics, and Optics and 4 papers in Condensed Matter Physics. Recurrent topics in Roman Belousov's work include Advanced Thermodynamics and Statistical Mechanics (8 papers), stochastic dynamics and bifurcation (6 papers) and Neural dynamics and brain function (4 papers). Roman Belousov is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (8 papers), stochastic dynamics and bifurcation (6 papers) and Neural dynamics and brain function (4 papers). Roman Belousov collaborates with scholars based in United States, Germany and Italy. Roman Belousov's co-authors include С. К. Филатов, Zhiyong Ding, Guy Lahat, Teresa T. Nguyen, Katelynn Bill, G.B. Mills, Kevin P. Rosenblatt, Svetlana Bolshakov, Alexander J. Lazar and Adam P. Dicker and has published in prestigious journals such as Physical Review Letters, The EMBO Journal and Nature Cell Biology.

In The Last Decade

Roman Belousov

20 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Roman Belousov 160 77 61 54 48 23 417
Yu Zheng 71 0.4× 114 1.5× 93 1.5× 14 0.3× 31 0.6× 28 405
Vladimir I. Stadnichuk 118 0.7× 37 0.5× 60 1.0× 25 0.5× 9 0.2× 30 415
Francesc Font-Clos 188 1.2× 48 0.6× 6 0.1× 43 0.8× 110 2.3× 25 464
S. Takami 46 0.3× 16 0.2× 18 0.3× 10 0.2× 49 1.0× 25 370
Zhong-Can Ou-Yang 147 0.9× 46 0.6× 74 1.2× 13 0.2× 35 0.7× 32 409
Christina Kurzthaler 109 0.7× 24 0.3× 61 1.0× 89 1.6× 15 0.3× 32 399
Hye-Won Kang 206 1.3× 17 0.2× 28 0.5× 33 0.6× 24 0.5× 23 375
Ji‐Hyun Kim 183 1.1× 14 0.2× 134 2.2× 32 0.6× 31 0.6× 32 474
Hans‐Gerd Lipinski 80 0.5× 11 0.1× 62 1.0× 16 0.3× 8 0.2× 22 368
Daniel Sharpe 294 1.8× 15 0.2× 21 0.3× 42 0.8× 36 0.8× 26 483

Countries citing papers authored by Roman Belousov

Since Specialization
Citations

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

Fields of papers citing papers by Roman Belousov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Belousov

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