Eithan Ephrati

844 citations
16 papers · 495 indexed · h-index 10

Impact in

Papers in

Eithan Ephrati

14 papers receiving 454 citations

Peers

Eithan Ephrati
Comparison fields: 5 of 43
  • Management Science and Operations Research 230
  • Artificial Intelligence 326
  • Economics and Econometrics 169
  • Computer Networks and Communications 85
  • Computational Theory and Mathematics 52
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Dongmo Zhang Australia
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Viet Dung Dang United Kingdom
L. B. Wilson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Eithan Ephrati

Since Specialization
Citations

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

Fields of papers citing papers by Eithan Ephrati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 7 scholars most cited alongside Eithan Ephrati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eithan Ephrati Line = papers co-authored together Eithan Ephrati links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20028
2 199761
3
A cost-directed planner: preliminary report
19966
4 199658
5
Deriving multi-agent coordination through filtering strategies
199521
6
A Tractable Heuristic that Maximizes Global Utility through Local Plan Combination
199517
7
Plan execution motivation in multi-agent systems
19941
8
Divide and conquer in multi-agent planning
199459
9
¯ Exploitation of Decision Theory Techniques in Multi-Agent Planning (Preliminary Report)
19941
10 199423
11 199367
12 19936
13
Constrained intelligent action: planning under the influence of a master agent
19929
14
Reaching agreement through partial revelation of preferences
199215
15
The Clarke tax as a consensus mechanism among automated agents
1991121
16 199122

About Eithan Ephrati

Eithan Ephrati is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Economics and Econometrics and Signal Processing, having authored 16 papers that have together received 495 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (12 papers), Multi-Agent Systems and Negotiation (9 papers), Auction Theory and Applications (7 papers), AI-based Problem Solving and Planning (5 papers), Game Theory and Voting Systems (3 papers), Optimization and Search Problems (2 papers), Constraint Satisfaction and Optimization (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Management Science and Operations Research (230 citations), Artificial Intelligence (326 citations), Economics and Econometrics (169 citations), Computer Networks and Communications (85 citations) and Computational Theory and Mathematics (52 citations). Eithan Ephrati has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Jeffrey S. Rosenschein, Martha E. Pollack, Gilad Zlotkin, Sarit Kraus, Daniel Lehmann, Sigalit Ur and Motty Perry. Their work appears in journals such as Artificial Intelligence, Group Decision and Negotiation, Annals of Mathematics and Artificial Intelligence, Journal of Experimental & Theoretical Artificial Intelligence and International Joint 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.

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