Yohsuke Murase

619 total citations
33 papers, 404 citations indexed

About

Yohsuke Murase is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Genetics. According to data from OpenAlex, Yohsuke Murase has authored 33 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sociology and Political Science, 13 papers in Statistical and Nonlinear Physics and 8 papers in Genetics. Recurrent topics in Yohsuke Murase's work include Evolutionary Game Theory and Cooperation (17 papers), Opinion Dynamics and Social Influence (13 papers) and Complex Network Analysis Techniques (9 papers). Yohsuke Murase is often cited by papers focused on Evolutionary Game Theory and Cooperation (17 papers), Opinion Dynamics and Social Influence (13 papers) and Complex Network Analysis Techniques (9 papers). Yohsuke Murase collaborates with scholars based in Japan, South Korea and Finland. Yohsuke Murase's co-authors include János Kertész, Kimmo Kaski, János Török, Hang-Hyun Jo, Seung Ki Baek, Nobuyasu Ito, Christian Hilbe, Hiroyasu Inoue, Yasuyuki Todo and Takashi Shimada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Yohsuke Murase

31 papers receiving 400 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yohsuke Murase Japan 12 155 136 56 51 47 33 404
Ivan Romić Japan 5 217 1.4× 189 1.4× 67 1.2× 63 1.2× 55 1.2× 7 490
Jian‐Yue Guan China 12 313 2.0× 240 1.8× 64 1.1× 199 3.9× 52 1.1× 34 588
Li-Xin Zhong China 13 217 1.4× 160 1.2× 35 0.6× 122 2.4× 163 3.5× 41 483
Daniele Vilone Italy 11 293 1.9× 328 2.4× 77 1.4× 77 1.5× 30 0.6× 31 523
Lilla Vicsek Hungary 10 114 0.7× 68 0.5× 37 0.7× 15 0.3× 25 0.5× 32 419
Marco Alberto Javarone Italy 14 442 2.9× 298 2.2× 116 2.1× 180 3.5× 53 1.1× 37 681
Mingfeng He China 16 485 3.1× 287 2.1× 144 2.6× 236 4.6× 49 1.0× 112 1.0k
Qiuhui Pan China 15 436 2.8× 222 1.6× 144 2.6× 223 4.4× 24 0.5× 85 747
Naghmeh Momeni Canada 5 340 2.2× 115 0.8× 90 1.6× 206 4.0× 11 0.2× 6 506
Patrick Roos United States 9 226 1.5× 65 0.5× 46 0.8× 92 1.8× 18 0.4× 16 438

Countries citing papers authored by Yohsuke Murase

Since Specialization
Citations

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

Fields of papers citing papers by Yohsuke Murase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohsuke Murase

This figure shows the co-authorship network connecting the top 25 collaborators of Yohsuke Murase. A scholar is included among the top collaborators of Yohsuke Murase 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 Yohsuke Murase. Yohsuke Murase 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
1.
Hilbe, Christian, et al.. (2025). Exact conditions for evolutionary stability in indirect reciprocity under noise. PLoS Computational Biology. 21(10). e1013584–e1013584.
2.
Murase, Yohsuke. (2025). Costly punishment sustains indirect reciprocity under low defection detectability. Journal of Theoretical Biology. 600. 112043–112043. 1 indexed citations
3.
Murase, Yohsuke & Christian Hilbe. (2024). Indirect reciprocity under opinion synchronization. Proceedings of the National Academy of Sciences. 121(48). e2418364121–e2418364121. 7 indexed citations
4.
Murase, Yohsuke & Christian Hilbe. (2024). Computational evolution of social norms in well-mixed and group-structured populations. Proceedings of the National Academy of Sciences. 121(33). e2406885121–e2406885121. 12 indexed citations
5.
Murase, Yohsuke & Seung Ki Baek. (2023). Grouping promotes both partnership and rivalry with long memory in direct reciprocity. PLoS Computational Biology. 19(6). e1011228–e1011228. 6 indexed citations
6.
Murase, Yohsuke & Christian Hilbe. (2023). Indirect reciprocity with stochastic and dual reputation updates. PLoS Computational Biology. 19(7). e1011271–e1011271. 11 indexed citations
7.
8.
Lee, Sang‐Hun, Yohsuke Murase, & Seung Ki Baek. (2022). A second-order stability analysis for the continuous model of indirect reciprocity. Journal of Theoretical Biology. 548. 111202–111202. 10 indexed citations
9.
Murase, Yohsuke, Christian Hilbe, & Seung Ki Baek. (2022). Evolution of direct reciprocity in group-structured populations. Scientific Reports. 12(1). 18645–18645. 10 indexed citations
10.
Inoue, Hiroyasu, Yohsuke Murase, & Yasuyuki Todo. (2021). Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?. PLoS ONE. 16(7). e0255031–e0255031. 32 indexed citations
11.
Murase, Yohsuke & Seung Ki Baek. (2021). Friendly-rivalry solution to the iterated n-person public-goods game. PLoS Computational Biology. 17(1). e1008217–e1008217. 5 indexed citations
12.
Inoue, Hiroyasu, Yohsuke Murase, & Yasuyuki Todo. (2020). Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?. RePEc: Research Papers in Economics. 3 indexed citations
13.
Murase, Yohsuke, Hang-Hyun Jo, János Török, János Kertész, & Kimmo Kaski. (2019). Structural transition in social networks: The role of homophily. Scientific Reports. 9(1). 4310–4310. 84 indexed citations
14.
Murase, Yohsuke, Hang-Hyun Jo, János Török, János Kertész, & Kimmo Kaski. (2019). Sampling networks by nodal attributes. Physical review. E. 99(5). 52304–52304. 5 indexed citations
15.
Murase, Yohsuke & Seung Ki Baek. (2018). Seven rules to avoid the tragedy of the commons. Journal of Theoretical Biology. 449. 94–102. 20 indexed citations
16.
Török, János, Yohsuke Murase, Hang-Hyun Jo, János Kertész, & Kimmo Kaski. (2016). What Big Data tells: Sampling the social network by communication channels. Physical review. E. 94(5). 52319–52319. 11 indexed citations
17.
Murase, Yohsuke, Hang-Hyun Jo, János Török, János Kertész, & Kimmo Kaski. (2015). Modeling the Role of Relationship Fading and Breakup in Social Network Formation. PLoS ONE. 10(7). e0133005–e0133005. 27 indexed citations
18.
Murase, Yohsuke, János Török, Hang-Hyun Jo, Kimmo Kaski, & János Kertész. (2014). Multilayer weighted social network model. Physical Review E. 90(5). 52810–52810. 47 indexed citations
19.
Murase, Yohsuke, Takashi Shimada, Nobuyasu Ito, & Per Arne Rikvold. (2010). Random walk in genome space: A key ingredient of intermittent dynamics of community assembly on evolutionary time scales. Journal of Theoretical Biology. 264(3). 663–672. 11 indexed citations
20.
Murase, Yohsuke, Takashi Shimada, Nobuyasu Ito, & Per Arne Rikvold. (2010). Effects of demographic stochasticity on biological community assembly on evolutionary time scales. Physical Review E. 81(4). 41908–41908. 9 indexed citations

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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