G. J. Baxter

1.9k citations
23 papers · 1.0k · h-index 14

Impact in

Papers in

G. J. Baxter

23 papers receiving 963 citations

Peers

G. J. Baxter
Comparison fields: 5 of 81
  • Statistical and Nonlinear Physics 622
  • Linguistics and Language 98
  • Software 68
  • Cultural Studies 136
  • Mathematical Physics 113
Replace Dimitri Volchenkov with:
Dimitri Volchenkov Germany
Riitta Toivonen Finland
E. M. Wright United Kingdom
Delia Mocanu United States
Andrea Capocci Italy
Patrick Blackburn Denmark
András Kornai Hungary
Pierre Guiraud Chile
Yichao Zhang China
M. J. Cresswell New Zealand
G. J. Baxter relative to Dimitri Volchenkov Germany Dimitri Volchenkov's profile →
Citations per field
00.5×10×15×20×22.7×
Dimitri Volchenkov · 1×
Citations per year

Countries citing papers authored by G. J. Baxter

Since Specialization
Citations

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

Fields of papers citing papers by G. J. Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside G. J. Baxter, 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. J. Baxter Line = papers co-authored together G. J. Baxter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012242
2 2010121
3 2006117
4 200692
5 200986
6 201167
7 201444
8 200843
9 200637
10 200729
11 201628
12 201826
13 201623
14 200514
15 200411
16 20117
17 20206
18 20226
19 20165
20 20225

About G. J. Baxter

G. J. Baxter is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Condensed Matter Physics, Sociology and Political Science and Civil and Structural Engineering, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (13 papers), Stochastic processes and statistical mechanics (4 papers), Theoretical and Computational Physics (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Linguistic Variation and Morphology (2 papers), Infrastructure Resilience and Vulnerability Analysis (2 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (622 citations), Linguistics and Language (98 citations), Software (68 citations), Cultural Studies (136 citations) and Mathematical Physics (113 citations). G. J. Baxter has collaborated with scholars based in Portugal, United Kingdom and Russia. Frequent co-authors include J. F. F. Mendes, S. N. Dorogovt︠s︡ev, Alan J. McKane, Richard A. Blythe, William Croft, James Noble, Ewan Tempero, Hayden P. Smith, Matt Visser and Hayden Melton. Their work appears in journals such as Physical review. E, Language Variation and Change, Physical Review Letters, Mathematical Biosciences and Chaos Solitons & Fractals.

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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