Richard S. Sutton

113 papers and 45.1k indexed citations i.

About

Richard S. Sutton is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Richard S. Sutton has authored 113 papers receiving a total of 45.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 18 papers in Cognitive Neuroscience. Recurrent topics in Richard S. Sutton’s work include Reinforcement Learning in Robotics (62 papers), Evolutionary Algorithms and Applications (20 papers) and Advanced Bandit Algorithms Research (17 papers). Richard S. Sutton is often cited by papers focused on Reinforcement Learning in Robotics (62 papers), Evolutionary Algorithms and Applications (20 papers) and Advanced Bandit Algorithms Research (17 papers). Richard S. Sutton collaborates with scholars based in Canada, United States and Australia. Richard S. Sutton's co-authors include Andy Barto, Andrew G. Barto, Satinder Singh, Doina Precup, David McAllester, Yishay Mansour, Charles W. Anderson, David Silver, Patrick M. Pilarski and R. J. Williams and has published in prestigious journals such as Nature, Psychological Review and Automatica.

In The Last Decade

Co-authorship network of co-authors of Richard S. Sutton i

Fields of papers citing papers by Richard S. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard S. Sutton. 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 Richard S. Sutton. The network helps show where Richard S. Sutton may publish in the future.

Countries citing papers authored by Richard S. Sutton

Since Specialization
Citations

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