Lincoln Chayes

31 total papers · 547 total citations
26 papers, 347 citations indexed

About

Lincoln Chayes is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, Lincoln Chayes has authored 26 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Condensed Matter Physics, 18 papers in Mathematical Physics and 9 papers in Statistics and Probability. Recurrent topics in Lincoln Chayes's work include Theoretical and Computational Physics (18 papers), Stochastic processes and statistical mechanics (14 papers) and Markov Chains and Monte Carlo Methods (5 papers). Lincoln Chayes is often cited by papers focused on Theoretical and Computational Physics (18 papers), Stochastic processes and statistical mechanics (14 papers) and Markov Chains and Monte Carlo Methods (5 papers). Lincoln Chayes collaborates with scholars based in United States, Belgium and Italy. Lincoln Chayes's co-authors include Marek Biskup, Roberto H. Schonmann, Glen Swindle, Jeroen van den Brink, Zohar Nussinov, Jennifer Chayes, Steven A. Kivelson, Jonathan Machta, A. Lücke and Yongsoo Choi and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and The Journal of the Acoustical Society of America.

In The Last Decade

Lincoln Chayes

25 papers receiving 329 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lincoln Chayes 265 137 89 77 65 26 347
Katarina Uzelac 311 1.2× 110 0.8× 161 1.8× 137 1.8× 36 0.6× 36 380
Ramon Villanova 296 1.1× 137 1.0× 89 1.0× 113 1.5× 29 0.4× 18 342
Tridib Sadhu 211 0.8× 164 1.2× 37 0.4× 172 2.2× 41 0.6× 22 350
Hidetsugu Kitatani 318 1.2× 44 0.3× 145 1.6× 81 1.1× 20 0.3× 26 334
M G Watts 283 1.1× 136 1.0× 108 1.2× 60 0.8× 53 0.8× 14 349
Hiroshi Watanabe 150 0.6× 133 1.0× 85 1.0× 57 0.7× 15 0.2× 33 372
Vladimir S. Dotsenko 257 1.0× 119 0.9× 118 1.3× 102 1.3× 39 0.6× 18 336
S. Regina 252 1.0× 73 0.5× 175 2.0× 77 1.0× 9 0.1× 29 355
Elmar Bittner 211 0.8× 73 0.5× 78 0.9× 110 1.4× 32 0.5× 32 349
Pierre-A. Vuillermot 117 0.4× 126 0.9× 43 0.5× 66 0.9× 29 0.4× 49 394

Countries citing papers authored by Lincoln Chayes

Since Specialization
Citations

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

Fields of papers citing papers by Lincoln Chayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lincoln Chayes

This figure shows the co-authorship network connecting the top 25 collaborators of Lincoln Chayes. A scholar is included among the top collaborators of Lincoln Chayes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lincoln Chayes. Lincoln Chayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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