The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Gerald Tesauro sits on this spectrum.
This scientist: 127 publications — 17th percentile
17% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Gerald Tesauro sits on this spectrum.
This scientist: 56 D-Index — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Gerald Tesauro is affiliated with IBM in the United States and contributes primarily to the field of computer science, with a focus on artificial intelligence. Their research extensively covers subfields including artificial intelligence, management science and operations research, computer networks and communications, safety research, and computational theory and mathematics.
The main topics that characterize Tesauro's work include reinforcement learning in robotics, advanced bandit algorithms research, topic modeling, natural language processing techniques, adversarial robustness in machine learning, optimization and search problems, and experimental behavioral economics studies.
Tesauro has published numerous papers in various venues, most notably in arXiv (Cornell University) and the Proceedings of the AAAI Conference on Artificial Intelligence. The venues with multiple publications by Tesauro include:
Among recent papers authored or coauthored by Tesauro are:
Frequent collaborators in Tesauro's research include Matthew Riemer, Dong Ki Kim, Jonathan P. How, Tyler Malloy, and Chris R. Sims. These coauthors have worked with Tesauro on multiple publications, establishing ongoing research partnerships.
Tesauro's contributions to the field have been recognized through awards such as the ACM Fellow distinction in 2018, citing contributions to reinforcement learning, neural networks, and intelligent autonomous agents. Additionally, Tesauro was named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2013 for work related to neural computation, game-playing including Backgammon, Chess, and Jeopardy!, autonomic computing, and economic agents.
Gerald Tesauro
Gerald Tesauro
Gerald Tesauro
W.E. Walsh;G. Tesauro;J.O. Kephart;R. Das
G. Tesauro;N.K. Jong;R. Das;M.N. Bennani
Matthew Riemer;Ignacio Cases;Robert Ajemian;Miao Liu
Rajarshi Das;James E. Hanson;Jeffrey O. Kephart;Gerald Tesauro
Gerald Tesauro;David M. Chess;William E. Walsh;Rajarshi Das
Gerald Tesauro;Gregory R. Galperin
Gerald Tesauro
Shuohang Wang;Mo Yu;Xiaoxiao Guo;Zhiguo Wang
Jeffrey Owen Kephart;Gregory Bret Sorkin;Gerald James Tesauro;Steven Richard White
Gerald Tesauro
G.J. Tesauro;J.O. Kephart;G.B. Sorkin
Mo Yu;Xiaoxiao Guo;Jinfeng Yi;Shiyu Chang
G. Tesauro
William E. Walsh;Rajarshi Das;Gerald Tesauro;Jeffrey O. Kephart
G. Tesauro;J. J. Sejnowski
J.O. Kephart;Hoi Chan;R. Das;D.W. Levine
Jeffrey O. Kephart;Gregory B. Sorkin;William C. Arnold;David M. Chess
Iulian Vlad Serban;Tim Klinger;Gerald Tesauro;Kartik Talamadupula
G. Tesauro;D. Touretzky;T. Leen
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