Joe Halpern
Impact in
-
- Distributed systems and fault tolerance
- Interconnection Networks and Systems
-
- Game Theory and Applications
- Auction Theory and Applications
Papers in
-
- Logic, programming, and type systems 3
- Cryptography and Data Security 2
- Logic, Reasoning, and Knowledge 2
-
- Formal Methods in Verification 3
- Co-authors
- Danny Dolev (3 shared papers)Rica Gonen (1 shared paper)Ittai Abraham (1 shared paper)H. Raymond Strong (1 shared paper)Barbara Sımons (1 shared paper)Ray Strong (1 shared paper)Albert R. Meyer (2 shared papers)Rohit Parikh (2 shared papers)
- Journals
- IEEE Transactions on Software Engineering (1 paper)SIAM Journal on Computing (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Joe Halpern
8 papers receiving 252 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 128
- Management Science and Operations Research 58
- Computational Theory and Mathematics 72
- Artificial Intelligence 132
- Hardware and Architecture 23
Countries citing papers authored by Joe Halpern
This map shows the geographic impact of Joe 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 Joe Halpern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Halpern more than expected).
Fields of papers citing papers by Joe Halpern
This network shows the impact of papers produced by Joe 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 Joe Halpern. The network helps show where Joe Halpern may publish in the future.
Co-authors
The 13 scholars most cited alongside Joe Halpern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 149 | |
| 2 | 1984 | 41 | |
| 3 | 1984 | 31 | |
| 4 | 1981 | 15 | |
| 5 | 1985 | 10 | |
| 6 | Proceedings of the 9th conference on Theoretical aspects of rationality and knowledge | 2003 | 10 |
| 7 | 2010 | 7 | |
| 8 | 1987 | 6 | |
| 9 | 2021 | 0 |
About Joe Halpern
Joe Halpern is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research and Sociology and Political Science, having authored 9 papers that have together received 269 indexed citations. Recurring topics across this work include Formal Methods in Verification (3 papers), Distributed systems and fault tolerance (3 papers), Logic, programming, and type systems (3 papers), Cryptography and Data Security (2 papers), Game Theory and Applications (2 papers), Logic, Reasoning, and Knowledge (2 papers), Interconnection Networks and Systems (2 papers) and Experimental Behavioral Economics Studies (1 paper). The work is most often cited by research in Computer Networks and Communications (128 citations), Management Science and Operations Research (58 citations), Computational Theory and Mathematics (72 citations), Artificial Intelligence (132 citations) and Hardware and Architecture (23 citations). Joe Halpern has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Danny Dolev, Rica Gonen, Ittai Abraham, H. Raymond Strong, Barbara Sımons, Ray Strong, Albert R. Meyer, Rohit Parikh, Ashok K. Chandra and Moshe Tennenholtz. Their work appears in journals such as IEEE Transactions on Software Engineering, SIAM Journal on Computing and Proceedings of the AAAI Conference on Artificial Intelligence.
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.