G.T. Vickers

40 papers receiving 1.1k citations

Peers

G.T. Vickers
Comparison fields: 5 of 94
  • Modeling and Simulation 202
  • Public Health, Environmental and Occupational Health 576
  • Applied Mathematics 211
  • Genetics 520
  • Numerical Analysis 88
Replace B. S. Goh with:
B. S. Goh Australia
Vito Volterra
Rafael Bravo de la Parra Spain
Tewfik Sari France
Binxiang Dai China
J. Grasman Netherlands
Gail S. K. Wolkowicz Canada
G. J. Butler Canada
Qimin Zhang China
Alexander I. Khibnik United States
G.T. Vickers relative to B. S. Goh Australia B. S. Goh's profile →
Citations per field
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B. S. Goh · 1×
Citations per year

Countries citing papers authored by G.T. Vickers

Since Specialization
Citations

This map shows the geographic impact of G.T. Vickers'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 G.T. Vickers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.T. Vickers more than expected).

Fields of papers citing papers by G.T. Vickers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.T. Vickers. 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 G.T. Vickers. The network helps show where G.T. Vickers may publish in the future.

Co-authors

The 16 scholars most cited alongside G.T. Vickers, 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 G.T. Vickers Line = papers co-authored together G.T. Vickers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003309
2 1983120
3 1997104
4 200057
5 198747
6 200844
7 199637
8 199734
9 199232
10 198832
11 199531
12 198929
13 199529
14 200528
15 198828
16 200422
17 199721
18 199821
19 199320
20 200120

About G.T. Vickers

G.T. Vickers is a scholar working on Sociology and Political Science, Genetics, Public Health, Environmental and Occupational Health, Management Science and Operations Research and Computational Theory and Mathematics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (18 papers), Evolution and Genetic Dynamics (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Game Theory and Applications (9 papers), Experimental Behavioral Economics Studies (5 papers), Stochastic processes and statistical mechanics (3 papers), graph theory and CDMA systems (2 papers) and Stability and Controllability of Differential Equations (2 papers). The work is most often cited by research in Modeling and Simulation (202 citations), Public Health, Environmental and Occupational Health (576 citations), Applied Mathematics (211 citations), Genetics (520 citations) and Numerical Analysis (88 citations). G.T. Vickers has collaborated with scholars based in United Kingdom, United States and Chile. Frequent co-authors include V. Hutson, C. Cannings, Konstantin Mischaikow, Salomé Martínez, Mark Broom, Wenxian Shen, Dennis Brown, Ross Cressman, Wenxian Shen and Julián López-Gómez. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, Powder Technology, Mathematical Biosciences and Chemical Engineering Science.

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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