G.T. Vickers

1.6k citations
40 papers · 1.3k · h-index 20

Impact in

Papers in

G.T. Vickers

40 papers receiving 1.2k citations

Peers

G.T. Vickers
Comparison fields: 5 of 77
  • Public Health, Environmental and Occupational Health 556
  • Applied Mathematics 230
  • Sociology and Political Science 398
  • Computational Mathematics 3
  • Mathematical Physics 52
Replace B. S. Goh with:
B. S. Goh Australia
Nicolas Champagnat France
Rafael Bravo de la Parra Spain
Gábor Lippner United States
Sebastian J. van Strien United Kingdom
NIRA RICHTER-DYN Israel
Ben G Fitzpatrick United States
Alexander I. Khibnik United States
Markus Kirkilionis United Kingdom
G.T. Vickers relative to B. S. Goh Australia B. S. Goh's profile →
Citations per field
00.5×5×10.2×
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 15 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 2003331
2 1997120
3 1983115
4 200060
5 198748
6 200844
7 199641
8 199737
9 198833
10 199232
11 198831
12 198931
13 199531
14 200531
15 199530
16 199324
17 199821
18 200421
19 199720
20 200120

About G.T. Vickers

G.T. Vickers is a scholar working on Sociology and Political Science, Public Health, Environmental and Occupational Health, Applied Mathematics, Ecology, Evolution, Behavior and Systematics and Management Science and Operations Research, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (19 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Animal Behavior and Reproduction (5 papers), Nonlinear Differential Equations Analysis (3 papers), Point processes and geometric inequalities (3 papers), Mineral Processing and Grinding (3 papers), Game Theory and Applications (3 papers) and Granular flow and fluidized beds (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (556 citations), Applied Mathematics (230 citations), Sociology and Political Science (398 citations), Computational Mathematics (3 citations) and Mathematical Physics (52 citations). G.T. Vickers has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Vivian Hutson, C. Cannings, Konstantin Mischaikow, Salomé Martínez, Mark Broom, Wenxian Shen, Ross Cressman, Wenxian Shen, Julián López-Gómez and Josef Hofbauer. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, Mathematical Biosciences, Powder Technology 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.

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