Peter Kim

82 papers receiving 1.5k citations

Peers

Peter Kim
Comparison fields: 5 of 109
  • Modeling and Simulation 632
  • Experimental and Cognitive Psychology 198
  • Ecology, Evolution, Behavior and Systematics 161
  • Public Health, Environmental and Occupational Health 228
  • Aging 10
Replace Joaquín Sanz with:
Joaquín Sanz Spain
Patricia R. Slev United States
Guy Sella United States
Petra Korlević United Kingdom
Michael J Grove United Kingdom
Anne‐Sophie Lequarré Belgium
Jack Kamm United States
Cosmina S. Hogea United States
Carolina Moreira Voloch Brazil
Guido España United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Kim

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Kim Line = papers co-authored together Peter Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012114
2 200881
3 200471
4 201861
5 200659
6 199853
7 201553
8 201452
9 201451
10 201148
11 201246
12 201544
13 201540
14 201439
15 201939
16 200937
17 201333
18 200831
19 200530
20 200927

About Peter Kim

Peter Kim is a scholar working on Modeling and Simulation, Experimental and Cognitive Psychology, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health and Immunology, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (43 papers), Evolutionary Psychology and Human Behavior (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Animal Behavior and Reproduction (12 papers), T-cell and B-cell Immunology (7 papers), Evolution and Genetic Dynamics (5 papers), Evolutionary Game Theory and Cooperation (5 papers) and Artificial Immune Systems Applications (4 papers). The work is most often cited by research in Modeling and Simulation (632 citations), Experimental and Cognitive Psychology (198 citations), Ecology, Evolution, Behavior and Systematics (161 citations), Public Health, Environmental and Occupational Health (228 citations) and Aging (10 citations). Peter Kim has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Peter P. Lee, Doron Levy, Kristen Hawkes, James E. Coxworth, Adrianne L. Jenner, Federico Frascoli, Chae‐Ok Yun, Adelle C.F. Coster, Lior S. Pachter and Joseph J. Crivelli. Their work appears in journals such as Journal of Theoretical Biology, Bulletin of Mathematical Biology, Mathematical Biosciences & Engineering, Mathematical Biosciences and Theoretical Population 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.

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