G.C. Wake

165 papers receiving 2.4k citations

Peers

G.C. Wake
Comparison fields: 5 of 160
  • Modeling and Simulation 542
  • Numerical Analysis 233
  • Applied Mathematics 247
  • Mathematical Physics 210
  • Public Health, Environmental and Occupational Health 478
Replace J. David Logan with:
J. David Logan United States
Vitaly Volpert France
Ke Wang China
Zhi‐Cheng Wang China
Benito M. Chen‐Charpentier United States
G. N. Mercer Australia
Scott W. McCue Australia
Charles A. Hall United States
Mohamed S. Mohamed Saudi Arabia
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Citations per year

Countries citing papers authored by G.C. Wake

Since Specialization
Citations

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

Fields of papers citing papers by G.C. Wake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002259
2 200396
3 200388
4 197786
5 199066
6 198964
7 200464
8 199061
9 200556
10 200850
11 200450
12 199646
13 199945
14 200343
15 201441
16 200440
17 201338
18 200637
19 200237
20 200434

About G.C. Wake

G.C. Wake is a scholar working on Modeling and Simulation, Applied Mathematics, Mathematical Physics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 177 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Combustion and Detonation Processes (17 papers), Energetic Materials and Combustion (15 papers), Mathematical Biology Tumor Growth (13 papers), Advanced Mathematical Modeling in Engineering (13 papers), Nonlinear Partial Differential Equations (13 papers), Thermal and Kinetic Analysis (12 papers) and Advanced Thermodynamics and Statistical Mechanics (11 papers). The work is most often cited by research in Modeling and Simulation (542 citations), Numerical Analysis (233 citations), Applied Mathematics (247 citations), Mathematical Physics (210 citations) and Public Health, Environmental and Occupational Health (478 citations). G.C. Wake has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Andrei Korobeinikov, B.F. Gray, Bruce van Brunt, A.J. Hall, J. Geoffrey Chase, Britta Basse, Geoffrey M. Shaw, David J. N. Wall, T. Boddington and Peter Gray. Their work appears in journals such as Mathematical and Computer Modelling, Combustion and Flame, Journal of Mathematical Analysis and Applications, Mathematical Medicine and Biology A Journal of the IMA and Differential and Integral Equations.

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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