Joseph Y. Halpern

670 total papers · 30.8k total citations
352 papers, 14.9k citations indexed

About

Joseph Y. Halpern is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Joseph Y. Halpern has authored 352 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 230 papers in Artificial Intelligence, 113 papers in Computational Theory and Mathematics and 74 papers in Computer Networks and Communications. Recurrent topics in Joseph Y. Halpern's work include Logic, Reasoning, and Knowledge (165 papers), Bayesian Modeling and Causal Inference (69 papers) and Game Theory and Applications (58 papers). Joseph Y. Halpern is often cited by papers focused on Logic, Reasoning, and Knowledge (165 papers), Bayesian Modeling and Causal Inference (69 papers) and Game Theory and Applications (58 papers). Joseph Y. Halpern collaborates with scholars based in United States, Israel and United Kingdom. Joseph Y. Halpern's co-authors include Yoram Moses, Ronald Fagin, Moshe Y. Vardi, E. Allen Emerson, Max Chickering, Christopher Meek, Zygmunt J. Haas, Judea Pearl, Li Li and Leandro Chaves Rêgo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Management Science.

In The Last Decade

Joseph Y. Halpern

328 papers receiving 13.6k citations

Hit Papers

Reasoning About Knowledge 1995 2026 2005 2015 1995 2004 2003 2006 2014 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joseph Y. Halpern 9.1k 4.2k 3.7k 1.6k 1.2k 352 14.9k
Michael L. Littman 10.9k 1.2× 3.3k 0.8× 1.9k 0.5× 2.3k 1.4× 1.2k 1.0× 222 18.7k
Michael Wooldridge 8.7k 1.0× 2.7k 0.6× 1.0k 0.3× 3.2k 2.0× 1.9k 1.6× 289 13.5k
Edmund Burke 4.0k 0.4× 2.2k 0.5× 1.8k 0.5× 5.9k 3.7× 1.1k 0.9× 436 15.3k
Moshe Y. Vardi 9.3k 1.0× 4.1k 1.0× 7.6k 2.0× 648 0.4× 915 0.8× 458 14.2k
Michael Kearns 6.9k 0.8× 1.5k 0.4× 1.9k 0.5× 2.3k 1.5× 835 0.7× 172 11.3k
Cynthia Dwork 11.5k 1.3× 3.6k 0.9× 1.5k 0.4× 1.1k 0.7× 2.1k 1.8× 128 15.9k
Ronald Fagin 8.7k 1.0× 7.1k 1.7× 2.8k 0.8× 1.8k 1.1× 2.5k 2.0× 164 14.0k
Yoav Shoham 4.7k 0.5× 2.4k 0.6× 826 0.2× 3.3k 2.1× 2.6k 2.1× 169 10.1k
Terry Winograd 8.3k 0.9× 2.8k 0.7× 790 0.2× 997 0.6× 5.7k 4.7× 161 21.8k
Prabhakar Raghavan 10.7k 1.2× 7.1k 1.7× 3.0k 0.8× 1.3k 0.8× 7.0k 5.8× 182 25.8k

Countries citing papers authored by Joseph Y. Halpern

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Y. Halpern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Y. Halpern. 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 Joseph Y. Halpern. The network helps show where Joseph Y. Halpern may publish in the future.

Co-authorship network of co-authors of Joseph Y. Halpern

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Y. Halpern. A scholar is included among the top collaborators of Joseph Y. Halpern based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph Y. Halpern. Joseph Y. Halpern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026