David Griffeath

3.4k citations
79 papers · 2.3k · h-index 28

Impact in

Papers in

David Griffeath

76 papers receiving 2.0k citations

Peers

David Griffeath
Comparison fields: 5 of 118
  • Mathematical Physics 1.3k
  • Condensed Matter Physics 837
  • Statistics and Probability 532
  • Statistical and Nonlinear Physics 679
  • Computational Theory and Mathematics 378
Replace C. Kipnis with:
C. Kipnis France
Pablo A. Ferrari Brazil
Hans-Otto Georgii Germany
J. Theodore Cox United States
Roberto H. Schonmann United States
David Levin United States
J. D. Biggins United Kingdom
Erwin Bolthausen Switzerland
Peter Jagers Sweden
Ben Hambly United Kingdom
David Griffeath relative to C. Kipnis France C. Kipnis's profile →
Citations per field
00.5×1.5×2.1×
C. Kipnis · 1×
Citations per year

Countries citing papers authored by David Griffeath

Since Specialization
Citations

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

Fields of papers citing papers by David Griffeath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Griffeath. 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 David Griffeath. The network helps show where David Griffeath may publish in the future.

Co-authors

The 19 scholars most cited alongside David Griffeath, 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 David Griffeath Line = papers co-authored together David Griffeath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979174
2 1986134
3 1975115
4
Multicomponent Random Systems
1980114
5 1980110
6 1980105
7 199299
8 200183
9 198176
10 199967
11 199158
12 198158
13 200156
14 198554
15 198951
16 198350
17 199845
18 200944
19 198441
20 198340

About David Griffeath

David Griffeath is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (38 papers), Theoretical and Computational Physics (22 papers), Markov Chains and Monte Carlo Methods (21 papers), Cellular Automata and Applications (17 papers), Opinion Dynamics and Social Influence (13 papers), Complex Network Analysis Techniques (12 papers), Mathematical Dynamics and Fractals (9 papers) and Random Matrices and Applications (5 papers). The work is most often cited by research in Mathematical Physics (1.3k citations), Condensed Matter Physics (837 citations), Statistics and Probability (532 citations), Statistical and Nonlinear Physics (679 citations) and Computational Theory and Mathematics (378 citations). David Griffeath has collaborated with scholars based in United States, Taiwan and Chile. Frequent co-authors include Maury Bramson, Janko Gravner, J. Theodore Cox, Richard Durrett, Lawrence Gray, Я.Г. Синай, R. L. Dobrushin, Robert O. Fisch, Gregory F. Lawler and Daniel R. Noguera. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Lecture notes in mathematics, Journal of Applied Probability and Advances in Applied Probability.

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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