Rebecca C. Tyson

2.4k citations
64 papers · 1.7k indexed · h-index 19

Rebecca C. Tyson

61 papers receiving 1.6k citations

Peers

Rebecca C. Tyson
Comparison fields: 5 of 154
  • Modeling and Simulation 421
  • Social Psychology 251
  • Cell Biology 172
  • Experimental and Cognitive Psychology 129
  • Statistical and Nonlinear Physics 103
Replace Marco Archetti with:
Marco Archetti United Kingdom
N. F. Britton United Kingdom
Joshua V. Ross Australia
Thilo Groß Germany
A. Kleczkowski United Kingdom
Alex James New Zealand
Ryan S. Miller United States
Patsy Haccou Netherlands
Thomas Nagylaki United States
István Scheuring Hungary
Rebecca C. Tyson relative to Marco Archetti United Kingdom Marco Archetti's profile →
Citations per field
00.5×3.1×
Marco Archetti · 1×
Citations per year

Countries citing papers authored by Rebecca C. Tyson

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca C. Tyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rebecca C. Tyson. 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 Rebecca C. Tyson. The network helps show where Rebecca C. Tyson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Rebecca C. Tyson, 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 Rebecca C. Tyson Line = papers co-authored together Rebecca C. Tyson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20244
4 20234
5 20233
6 20218
7 202025
8 20192
9 20182
10 201811
11 201723
12 201358
13 201384
14 201217
15 201018
16 200916
17 200922
18 20089
19 199986
20 1995180

About Rebecca C. Tyson

Rebecca C. Tyson is a scholar working on Modeling and Simulation, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Plant and animal studies (20 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Animal Ecology and Behavior Studies (11 papers), Evolution and Genetic Dynamics (10 papers), Ecology and Vegetation Dynamics Studies (9 papers), Plant Parasitism and Resistance (8 papers), Insect and Pesticide Research (7 papers) and Ecosystem dynamics and resilience (7 papers). The work is most often cited by research in Modeling and Simulation (421 citations), Social Psychology (251 citations) and Cell Biology (172 citations). Rebecca C. Tyson has collaborated with scholars based in Canada, United States and France. Frequent co-authors include John M. Gottman, Kristin R. Swanson, Catherine Swanson, James D. Murray, J. D. Murray, Sharon R. Lubkin, Randall J. LeVeque, Elena O. Budrene, Diana E. Woodward and Howard C. Berg. Their work appears in journals such as Ecological Modelling, Bulletin of Mathematical Biology, Journal of Mathematical Biology, Theoretical Ecology and Ecological Complexity.

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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