Thomas P. Hayes

99 total papers · 2.4k total citations
44 papers, 927 citations indexed

About

Thomas P. Hayes is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Thomas P. Hayes has authored 44 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Statistics and Probability and 13 papers in Computer Networks and Communications. Recurrent topics in Thomas P. Hayes's work include Markov Chains and Monte Carlo Methods (14 papers), Stochastic processes and statistical mechanics (12 papers) and Optimization and Search Problems (7 papers). Thomas P. Hayes is often cited by papers focused on Markov Chains and Monte Carlo Methods (14 papers), Stochastic processes and statistical mechanics (12 papers) and Optimization and Search Problems (7 papers). Thomas P. Hayes collaborates with scholars based in United States, United Kingdom and China. Thomas P. Hayes's co-authors include Varsha Dani, Sham M. Kakade, Nikhil R. Devanur, Eric Vigoda, László Babai, Jared Saia, Amitabh Trehan, M. Rotenberg, Michael Paul and Kelliann Koehler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SIAM Journal on Computing and The Annals of Applied Probability.

In The Last Decade

Thomas P. Hayes

43 papers receiving 869 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas P. Hayes 468 405 377 138 128 44 927
Gregory Valiant 157 0.3× 677 1.7× 157 0.4× 166 1.2× 171 1.3× 55 1.1k
Panayotis Mertikopoulos 310 0.7× 178 0.4× 360 1.0× 62 0.4× 36 0.3× 65 801
Paul Cuff 30 0.1× 331 0.8× 382 1.0× 127 0.9× 49 0.4× 48 1.0k
Jiaming Xu 69 0.1× 708 1.7× 207 0.5× 65 0.5× 185 1.4× 67 1.2k
Hans Ulrich Simon 84 0.2× 627 1.5× 216 0.6× 276 2.0× 41 0.3× 76 1.0k
Shivani Agarwal 158 0.3× 577 1.4× 61 0.2× 115 0.8× 61 0.5× 69 911
S. S. Shrikhande 301 0.6× 292 0.7× 52 0.1× 254 1.8× 44 0.3× 45 1.1k
Hung T. Nguyen 287 0.6× 434 1.1× 138 0.4× 199 1.4× 137 1.1× 39 979
Dmitri Botvich 30 0.1× 180 0.4× 773 2.1× 29 0.2× 25 0.2× 94 1.2k
Peter Bro Miltersen 157 0.3× 706 1.7× 247 0.7× 630 4.6× 27 0.2× 77 1.1k

Countries citing papers authored by Thomas P. Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas P. Hayes. 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 Thomas P. Hayes. The network helps show where Thomas P. Hayes may publish in the future.

Co-authorship network of co-authors of Thomas P. Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Hayes. A scholar is included among the top collaborators of Thomas P. Hayes 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 Thomas P. Hayes. Thomas P. Hayes 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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