Jan Rychtář

2.2k total citations
114 papers, 1.5k citations indexed

About

Jan Rychtář is a scholar working on Sociology and Political Science, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Jan Rychtář has authored 114 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Sociology and Political Science, 39 papers in Public Health, Environmental and Occupational Health and 35 papers in Genetics. Recurrent topics in Jan Rychtář's work include Evolutionary Game Theory and Cooperation (49 papers), Mathematical and Theoretical Epidemiology and Ecology Models (33 papers) and Evolution and Genetic Dynamics (29 papers). Jan Rychtář is often cited by papers focused on Evolutionary Game Theory and Cooperation (49 papers), Mathematical and Theoretical Epidemiology and Ecology Models (33 papers) and Evolution and Genetic Dynamics (29 papers). Jan Rychtář collaborates with scholars based in United States, United Kingdom and Czechia. Jan Rychtář's co-authors include Mark Broom, Dewey Taylor, Christoforos Hadjichrysanthou, Hyun-Ju Oh, Olav Rueppell, William Hou, Graeme D. Ruxton, Nels G. Johnson, Julia Köbe and Eva Zažı́malová and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jan Rychtář

106 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Rychtář United States 22 835 641 512 235 204 114 1.5k
Florence Débarre France 21 331 0.4× 572 0.9× 271 0.5× 226 1.0× 23 0.1× 47 1.3k
Timothy C. Reluga United States 17 281 0.3× 281 0.4× 523 1.0× 51 0.2× 201 1.0× 31 1.5k
Margaret A. Riley United States 11 946 1.1× 1.2k 1.9× 371 0.7× 342 1.5× 99 0.5× 13 2.3k
Samuel Alizon France 31 637 0.8× 1.7k 2.6× 1.1k 2.2× 334 1.4× 63 0.3× 95 3.7k
Sébastien Lion France 22 654 0.8× 979 1.5× 489 1.0× 318 1.4× 12 0.1× 41 1.5k
Jan Medlock United States 27 265 0.3× 260 0.4× 963 1.9× 81 0.3× 119 0.6× 53 2.4k
E. Ann Stanley United States 11 172 0.2× 285 0.4× 523 1.0× 18 0.1× 99 0.5× 15 970
Andrea Pugliese Italy 31 226 0.3× 535 0.8× 1.0k 2.0× 162 0.7× 119 0.6× 154 2.7k
Nakul Chitnis Switzerland 32 152 0.2× 837 1.3× 3.3k 6.5× 86 0.4× 72 0.4× 113 4.4k
István Z. Kiss United Kingdom 28 216 0.3× 326 0.5× 900 1.8× 241 1.0× 1.2k 5.8× 106 3.0k

Countries citing papers authored by Jan Rychtář

Since Specialization
Citations

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

Fields of papers citing papers by Jan Rychtář

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Rychtář

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Rychtář. A scholar is included among the top collaborators of Jan Rychtář 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 Jan Rychtář. Jan Rychtář 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.
Rychtář, Jan, et al.. (2024). Mathematical model of rabies vaccination in the United States. Theoretical Population Biology. 157. 47–54. 3 indexed citations
2.
Onifade, Akindele Akano, Jan Rychtář, & Dewey Taylor. (2024). A dynamic game of lymphatic filariasis prevention by voluntary use of insecticide treated nets. Journal of Theoretical Biology. 585. 111796–111796. 4 indexed citations
3.
García, Santiago M. López, et al.. (2024). Mathematical model of voluntary vaccination against schistosomiasis. PeerJ. 12. e16869–e16869. 3 indexed citations
4.
Oh, Hyun-Ju, et al.. (2023). GAME-THEORETICAL MODEL OF COVID-19 VACCINATION IN THE ENDEMIC EQUILIBRIUM. Journal of Biological Systems. 32(2). 349–370. 3 indexed citations
5.
Moore, Aubrey, et al.. (2023). A mathematical model of invasion and control of coconut rhinoceros beetle Oryctes rhinoceros (L.) in Guam. Journal of Theoretical Biology. 570. 111525–111525. 1 indexed citations
6.
Rychtář, Jan, et al.. (2023). Imperfect vaccine can yield multiple Nash equilibria in vaccination games. Mathematical Biosciences. 356. 108967–108967. 7 indexed citations
7.
Rychtář, Jan, et al.. (2023). Modeling the “F” in “SAFE”: The dynamic game of facial cleanliness in trachoma prevention. PLoS ONE. 18(6). e0287464–e0287464. 5 indexed citations
8.
Oh, Hyun-Ju, et al.. (2023). A compartmental model for Schistosoma japonicum transmission dynamics in the Philippines. Acta Tropica. 249. 107084–107084. 1 indexed citations
9.
Oh, Hyun-Ju, et al.. (2022). A game-theoretic model of rabies in domestic dogs with multiple voluntary preventive measures. Journal of Mathematical Biology. 85(5). 57–57. 8 indexed citations
10.
Rychtář, Jan, et al.. (2021). A mathematical model of Guinea worm disease in Chad with fish as intermediate transport hosts. Journal of Theoretical Biology. 521. 110683–110683. 4 indexed citations
11.
Rychtář, Jan & Dewey Taylor. (2020). Moran process and Wright-Fisher process favor low variability. Discrete and Continuous Dynamical Systems - B. 26(7). 3491–3504. 5 indexed citations
12.
Rychtář, Jan, et al.. (2020). Game-Theoretical Model of Retroactive Hepatitis B Vaccination in China. Bulletin of Mathematical Biology. 82(6). 80–80. 20 indexed citations
13.
Broom, Mark, et al.. (2017). Evolutionary dynamics and the evolution of multiplayer cooperation in a subdivided population. Journal of Theoretical Biology. 429. 105–115. 18 indexed citations
14.
Broom, Mark, et al.. (2017). The effect of fight cost structure on fighting behaviour involving simultaneous decisions and variable investment levels. Journal of Mathematical Biology. 76(1-2). 457–482. 2 indexed citations
15.
Broom, Mark, et al.. (2015). A study of the dynamics of multi-player games on small networks using territorial interactions. Journal of Mathematical Biology. 71(6-7). 1551–1574. 24 indexed citations
16.
Suthaharan, Praveen, et al.. (2015). Evolution of Cooperation in Mobile Populations. ISU Red - Research and eData (Illinois State University). 1(1). 5 indexed citations
17.
Seifertová, Daniela, Petr Skůpa, Jan Rychtář, et al.. (2014). Characterization of transmembrane auxin transport in Arabidopsis suspension-cultured cells. Journal of Plant Physiology. 171(6). 429–437. 15 indexed citations
18.
Broom, Mark, et al.. (2010). The stochastic modelling of kleptoparasitism using a Markov process. Journal of Theoretical Biology. 264(2). 266–272. 13 indexed citations
19.
Broom, Mark & Jan Rychtář. (2008). An analysis of the fixation probability of a mutant on special classes of non-directed graphs. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 464(2098). 2609–2627. 119 indexed citations
20.
Rychtář, Jan. (2005). Pointwise uniformly rotund norms. Proceedings of the American Mathematical Society. 133(8). 2259–2266. 6 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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