Jan Rychtář
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 9
- Genetics top 5%
- Evolution and Genetic Dynamics 29
- Virology top 5%
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- Evolutionary Game Theory and Cooperation 49
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- Mathematical and Theoretical Epidemiology and Ecology Models 33
- Mosquito-borne diseases and control 8
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- Plant and animal studies 22
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- Experimental Behavioral Economics Studies 11
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- Game Theory and Applications 9
- Co-authors
- Mark BroomDewey TaylorChristoforos HadjichrysanthouHyun-Ju OhOlav RueppellWilliam HouGraeme D. RuxtonNels G. Johnson
- Journals
- Journal of Theoretical Biology (15 papers)Dynamic Games and Applications (7 papers)Journal of Mathematical Biology (7 papers)
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
Jan Rychtář
106 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 158
- Genetics 641
- Virology 104
- Sociology and Political Science 835
- Public Health, Environmental and Occupational Health 512
Countries citing papers authored by Jan Rychtář
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
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
The 25 scholars most cited alongside Jan Rychtář, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 20 | |
| 13 | 2017 | 18 | |
| 14 | 2017 | 2 | |
| 15 | 2015 | 24 | |
| 16 | 2015 | 5 | |
| 17 | 2014 | 15 | |
| 18 | 2010 | 13 | |
| 19 | 2008 | 119 | |
| 20 | 2005 | 6 |
About Jan Rychtář
Jan Rychtář is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Safety Research, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 114 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (49 papers), Mathematical and Theoretical Epidemiology and Ecology Models (33 papers), Evolution and Genetic Dynamics (29 papers), Plant and animal studies (22 papers), Experimental Behavioral Economics Studies (11 papers), Game Theory and Applications (9 papers), COVID-19 epidemiological studies (9 papers) and Mosquito-borne diseases and control (8 papers). The work is most often cited by research in Modeling and Simulation (158 citations), Genetics (641 citations), Virology (104 citations), Sociology and Political Science (835 citations) and Public Health, Environmental and Occupational Health (512 citations). Jan Rychtář has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent 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. Their work appears in journals such as Journal of Theoretical Biology, Dynamic Games and Applications, Journal of Mathematical Biology, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Bulletin of Mathematical Biology.
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.