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 Joseph Y. Halpern sits on this spectrum.
This scientist: 475 publications — 92nd percentile
92% 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 Joseph Y. Halpern sits on this spectrum.
This scientist: 100 D-Index — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Joseph Y. Halpern is affiliated with Cornell University in the United States, specializing in the fields of Computer Science and Decision Sciences. Their research encompasses a variety of topics including Bayesian Modeling and Causal Inference, Game Theory and Applications, Experimental Behavioral Economics Studies, Logic, Reasoning, and Knowledge, Decision-Making and Behavioral Economics, Cryptography and Data Security, and Auction Theory and Applications.
Their recent publications illustrate a focus on theoretical aspects of reasoning and decision-making. Notable papers include:
Halpern has frequently collaborated with several researchers. Among the most common co-authors are Ivan Geffner, Hana Chockler, Spencer Peters, Yuval Heller, and Meir Friedenberg.
Their work has appeared in several publication venues multiple times, including arXiv (Cornell University), Electronic Proceedings in Theoretical Computer Science, Proceedings of the AAAI Conference on Artificial Intelligence, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), and SSRN Electronic Journal.
The research focus spans diverse subfields such as Artificial Intelligence, Management Science and Operations Research, Safety Research, Economics and Econometrics, and Cognitive Neuroscience.
Joseph Y. Halpern has received recognition from professional organizations, including being named a Member of the National Academy of Engineering in 2019 for contributions related to methods of reasoning about knowledge, belief, and uncertainty and their applications to distributed computing and multiagent systems. Additional honors include Fellowship in the American Academy of Arts and Sciences in 2015, the ACM AAAI Allen Newell Award in 2008, Fellow of the American Association for the Advancement of Science in 2005, ACM Fellow in 2002, and Fellow of the Association for the Advancement of Artificial Intelligence in 1993. These awards reflect sustained work in areas linked to knowledge, belief, uncertainty, and their implications for artificial intelligence, computer science, game theory, economics, and philosophy of science.
Ronald Fagin;Joseph Y. Halpern;Yoram Moses;Moshe Y. Vardi
Ronald Fagin;Joseph Y. Halpern;Moshe Y. Vardi;Yoram Moses
Joseph Y. Halpern;Yoram Moses
Joseph Y. Halpern
E. Allen Emerson;Joseph Y. Halpern
R. Fagin;J. Y. Halpern
Joseph Y. Halpern;Yoram Moses
Z.J. Haas;J.Y. Halpern;Li Li
Joseph Y. Halpern;Judea Pearl
Joseph Y. Halpern
R. Fagin;J.Y. Halpern;N. Megiddo
E. A. Emerson;Joseph Y. Halpern
Zygmunt J. Haas;Joseph Y. Halpern;Li Li
L. Li;J.Y. Halpern
Joseph Y. Halpern;Yoav Shoham
Li Li;Joseph Y. Halpern;Paramvir Bahl;Yi-Min Wang
Ronald Fagin;Joseph Y. Halpern
Joseph Y. Halpern;Yoram Moses
Ittai Abraham;Danny Dolev;Rica Gonen;Joe Halpern
Christopher Meek;Max Chickering;Joseph Halpern
Joseph Y. Halpern;Riccardo Pucella
Zygmunt Haas;Joseph Y. Halpern;Erran L. Li
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