G.T. Vickers

1.6k citations
38 papers · 1.1k indexed · h-index 20

G.T. Vickers

38 papers receiving 1.0k citations

Peers

G.T. Vickers
Comparison fields: 5 of 95
  • Modeling and Simulation 189
  • Applied Mathematics 201
  • Public Health, Environmental and Occupational Health 531
  • Genetics 475
  • Numerical Analysis 81
Replace B. S. Goh with:
B. S. Goh Australia
Rafael Bravo de la Parra Spain
Vito Volterra
Tewfik Sari France
G. J. Butler Canada
Binxiang Dai China
Gail S. K. Wolkowicz Canada
J. Grasman Netherlands
Xiang‐Ping Yan China
O. Arino France
G.T. Vickers relative to B. S. Goh Australia B. S. Goh's profile →
Citations per field
00.5×2.6×
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-authorship network

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
#Work
1 200718
2 200528
3 2003302
4 200054
5 200019
6 20001
7 199714
8 199732
9 19964
10 199612
11 199636
12 199529
13 19941
14 19936
15 199320
16 19918
17 198927
18 198823
19 198829
20 198739

About G.T. Vickers

G.T. Vickers is a scholar working on Management Science and Operations Research, Genetics, Safety Research, Public Health, Environmental and Occupational Health and Mathematical Physics, having authored 38 papers that have together received 1.1k 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 (8 papers), Experimental Behavioral Economics Studies (5 papers), Stochastic processes and statistical mechanics (3 papers), Adsorption, diffusion, and thermodynamic properties of materials (2 papers) and Advanced Mathematical Modeling in Engineering (2 papers). The work is most often cited by research in Modeling and Simulation (189 citations), Applied Mathematics (201 citations), Public Health, Environmental and Occupational Health (531 citations), Genetics (475 citations) and Numerical Analysis (81 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 Josef Hofbauer. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, Mathematical Biosciences, Powder Technology and The American Naturalist.

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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