Yaroslav Ispolatov

2.2k citations
63 papers · 1.4k indexed · h-index 19
Topics
Evolution and Genetic Dynamics (19 papers)Evolutionary Game Theory and Cooperation (18 papers)Mathematical and Theoretical Epidemiology and Ecology Models (12 papers)
Partner nations
United StatesChileCanada

In The Last Decade

Yaroslav Ispolatov

62 papers receiving 1.3k citations

Peers

Yaroslav Ispolatov
Comparison fields: 5 of 119
  • Molecular Biology 482
  • Statistical and Nonlinear Physics 380
  • Genetics 257
  • Economics and Econometrics 201
  • Sociology and Political Science 198
Replace G. Cocho with:
G. Cocho Mexico
Nadav M. Shnerb Israel
Jacobo Aguirre Spain
Duccio Fanelli Italy
Annick Lesne France
A. Provata Greece
T. J. Newman United Kingdom
Simone Pigolotti Japan
A. M. Rucklidge United Kingdom
Paolo Sibani Denmark
Yaroslav Ispolatov relative to G. Cocho Mexico G. Cocho's profile →
Citations per field
00.5×3.4×
G. Cocho · 1×
Citations per year

Countries citing papers authored by Yaroslav Ispolatov

Since Specialization
Citations

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

Fields of papers citing papers by Yaroslav Ispolatov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaroslav Ispolatov

This figure shows the co-authorship network connecting the top 25 collaborators of Yaroslav Ispolatov. A scholar is included among the top collaborators of Yaroslav Ispolatov 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 Yaroslav Ispolatov. Yaroslav Ispolatov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 4
3 3
4 6
5 7
6 19
7 15
8 22
9 4
10 1
11 6
12 36
13 15
14 95
15
Diversification along environmental gradients in spatially structured populations
10
16 33
17 12
18
Phase Transitions in Systems with 1/r α Attractive Interactions
1
19 35
20 7

About Yaroslav Ispolatov

Yaroslav Ispolatov is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Condensed Matter Physics, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (19 papers), Evolutionary Game Theory and Cooperation (18 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (380 citations), Condensed Matter Physics (158 citations) and Mathematical Physics (97 citations). Yaroslav Ispolatov has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include P. L. Krapivsky, Michael Doebeli, S. Redner, Sergei Maslov, E. G. D. Cohen, Anton Yuryev, Eugene Oks, Konstantin Severinov, Martin Grant and Pierre-Henri Chavanis. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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