Mark Kot
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth 5
- COVID-19 epidemiological studies 4
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- Ecology and Vegetation Dynamics Studies 7
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- Mathematical and Theoretical Epidemiology and Ecology Models 28
- Ecological Modeling top 2%
- Genetics top 0.5%
- Evolution and Genetic Dynamics 22
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- Nonlinear Dynamics and Pattern Formation 10
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- Animal Ecology and Behavior Studies 8
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- Evolutionary Game Theory and Cooperation 8
- Co-authors
- Mark A. LewisWilliam M. SchafferP. van den DriesscheJohn L. GittlemanMichael G. NeubertMei‐Hui WangJan MedlockYing Zhou
- Cited by
- Modeling and SimulationNature and Landscape ConservationPublic Health, Environmental and Occupational Health
- Journals
- Mathematical Biosciences (7 papers)Bulletin of Mathematical Biology (5 papers)Theoretical Population Biology (4 papers)
- Partner nations
- United StatesPolandRussia
In The Last Decade
Mark Kot
47 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Modeling and Simulation 625
- Nature and Landscape Conservation 1.2k
- Public Health, Environmental and Occupational Health 2.2k
- Ecological Modeling 302
- Genetics 1.9k
Countries citing papers authored by Mark Kot
This map shows the geographic impact of Mark Kot'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 Mark Kot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kot more than expected).
Fields of papers citing papers by Mark Kot
This network shows the impact of papers produced by Mark Kot. 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 Mark Kot. The network helps show where Mark Kot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Kot, 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 | 2020 | 0 | |
| 2 | 2015 | 7 | |
| 3 | 2015 | 2 | |
| 4 | 2015 | 7 | |
| 5 | 2014 | 29 | |
| 6 | 2014 | 42 | |
| 7 | Effect of breeding conditions, phenology, and age on the occurrence of helminths in pigs. A preliminary study | 2009 | 4 |
| 8 | 2008 | 57 | |
| 9 | 2008 | 1 | |
| 10 | 2008 | 9 | |
| 11 | 2006 | 11 | |
| 12 | 2004 | 40 | |
| 13 | 2003 | 197 | |
| 14 | 2002 | 119 | |
| 15 | 2001 | 11 | |
| 16 | 2001 | 238 | |
| 17 | 1992 | 87 | |
| 18 | 1992 | 155 | |
| 19 | 1989 | 27 | |
| 20 | 1986 | 217 |
About Mark Kot
Mark Kot is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, Ecological Modeling and Nature and Landscape Conservation, having authored 48 papers that have together received 5.0k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (28 papers), Evolution and Genetic Dynamics (22 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Animal Ecology and Behavior Studies (8 papers), Evolutionary Game Theory and Cooperation (8 papers), Ecology and Vegetation Dynamics Studies (7 papers), Mathematical Biology Tumor Growth (5 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (625 citations), Nature and Landscape Conservation (1.2k citations), Public Health, Environmental and Occupational Health (2.2k citations), Ecological Modeling (302 citations) and Genetics (1.9k citations). Mark Kot has collaborated with scholars based in United States, Poland and Russia. Frequent co-authors include Mark A. Lewis, William M. Schaffer, P. van den Driessche, John L. Gittleman, Michael G. Neubert, Mei‐Hui Wang, Jan Medlock, Ying Zhou, T.W. Schultz and Gary S. Sayler. Their work appears in journals such as Mathematical Biosciences, Bulletin of Mathematical Biology, Theoretical Population Biology, Journal of Theoretical Biology and Journal 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.