Thomas P. Hayes

34 papers and 643 indexed citations i.

About

Thomas P. Hayes is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Thomas P. Hayes has authored 34 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 14 papers in Statistics and Probability and 11 papers in Mathematical Physics. Recurrent topics in Thomas P. Hayes’s work include Markov Chains and Monte Carlo Methods (13 papers), Stochastic processes and statistical mechanics (11 papers) and Optimization and Search Problems (6 papers). Thomas P. Hayes is often cited by papers focused on Markov Chains and Monte Carlo Methods (13 papers), Stochastic processes and statistical mechanics (11 papers) and Optimization and Search Problems (6 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, Eric Vigoda, Alistair Sinclair, László Babai, Martin Dyer, Alan Frieze, Alexander Rakhlin, Peter L. Bartlett and Ambuj Tewari 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

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

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.

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).

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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