Eric Pacuit

1.8k citations
76 papers · 1.2k · h-index 18

Impact in

Papers in

Eric Pacuit

69 papers receiving 1.1k citations

Peers

Eric Pacuit
Comparison fields: 5 of 59
  • Artificial Intelligence 1.0k
  • Computational Theory and Mathematics 397
  • Management Science and Operations Research 175
  • Philosophy 86
  • General Decision Sciences 10
Replace Jan Broersen with:
Jan Broersen Netherlands
Gabriella Pigozzi Luxembourg
Marc Pauly Netherlands
Thomas Ågotnes Norway
Jelle Gerbrandy Italy
Hans Rott Germany
Martin Caminada United Kingdom
Franz Guenthner Germany
Sergei Artëmov United States
Lorenz Demey Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Eric Pacuit

Since Specialization
Citations

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

Fields of papers citing papers by Eric Pacuit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Pacuit, 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 Eric Pacuit Line = papers co-authored together Eric Pacuit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009132
2 2017120
3 2011107
4
The Tree of Knowledge in Action: Towards a Common Perspective
200665
5 200750
6
Majority logic
200448
7 200645
8 201144
9 201342
10
Joint revision of belief and intention
201035
11 201135
12
Evidence Logic: A New Look at Neighborhood Structures
201231
13 200627
14 200425
15 200624
16
Reasoning about Communication Graphs
200722
17 201721
18 200520
19 201317
20 201315

About Eric Pacuit

Eric Pacuit is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Economics and Econometrics and Sociology and Political Science, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (57 papers), Multi-Agent Systems and Negotiation (35 papers), Semantic Web and Ontologies (19 papers), Game Theory and Applications (15 papers), Advanced Algebra and Logic (15 papers), Game Theory and Voting Systems (13 papers), Logic, programming, and type systems (10 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computational Theory and Mathematics (397 citations), Management Science and Operations Research (175 citations), Philosophy (86 citations) and General Decision Sciences (10 citations). Eric Pacuit has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Johan van Benthem, Jelle Gerbrandy, Rohit Parikh, Tomohiro Hoshi, Benedikt Löwe, Olivier Roy, David Fernández–Duque, Andreas Witzel, Thomas Icard and Yoav Shoham. Their work appears in journals such as Synthese, Studia Logica, Social Choice and Welfare, Journal of Philosophical Logic and Philosophy Compass.

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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