Gerald Tesauro

58 papers and 2.3k indexed citations i.

About

Gerald Tesauro is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Gerald Tesauro has authored 58 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 19 papers in Management Science and Operations Research and 11 papers in Computer Networks and Communications. Recurrent topics in Gerald Tesauro’s work include Reinforcement Learning in Robotics (22 papers), Neural Networks and Applications (11 papers) and Advanced Bandit Algorithms Research (9 papers). Gerald Tesauro is often cited by papers focused on Reinforcement Learning in Robotics (22 papers), Neural Networks and Applications (11 papers) and Advanced Bandit Algorithms Research (9 papers). Gerald Tesauro collaborates with scholars based in United States, China and Canada. Gerald Tesauro's co-authors include Jeffrey O. Kephart, Rajarshi Das, Kilian Q. Weinberger, Tim Klinger, David Cohn, Bob Janssens, James E. Hanson, Subutai Ahmad, Bowen Zhou and Xiaoxiao Guo and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Gerald Tesauro i

Fields of papers citing papers by Gerald Tesauro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gerald Tesauro

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025