Jack Breese

2.1k citations
15 papers · 567 · h-index 9

Impact in

Papers in

Jack Breese

15 papers receiving 513 citations

Peers

Jack Breese
Comparison fields: 5 of 94
  • Artificial Intelligence 368
  • Management Science and Operations Research 97
  • Software 24
  • Signal Processing 59
  • Information Systems 106
Replace Seppo Puuronen with:
Seppo Puuronen Finland
Jürg Kohlas Switzerland
Lawrence Shih United States
Piotr J. Gmytrasiewicz United States
Earl Hunt
Hayri Sever Türkiye
Erik Sandewall Sweden
John D. Lowrance United States
Vibhav Gogate United States
Jacob Kogan United States
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Citations per field
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Citations per year

Countries citing papers authored by Jack Breese

Since Specialization
Citations

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

Fields of papers citing papers by Jack Breese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Jack Breese, 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 Jack Breese Line = papers co-authored together Jack Breese links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1996259
2 201394
3
Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
200185
4
Emotion and Personality in a Conversational Character
199827
5 199623
6
Knowledge representation and inference in intelligent decision systems
198723
7 199317
8
Modeling Emotional State and Personality for Conversational Agents
199812
9 20138
10
Proceedings of the 5th ACM conference on Electronic commerce
20047
11 20005
12 19882
13 19982
14 20132
15
Exact reasoning about uncertainty
19851

About Jack Breese

Jack Breese is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Social Psychology and Signal Processing, having authored 15 papers that have together received 567 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), AI-based Problem Solving and Planning (3 papers), Data Management and Algorithms (2 papers), Auction Theory and Applications (2 papers), Speech and dialogue systems (2 papers), Social Robot Interaction and HRI (2 papers), Advanced Database Systems and Queries (2 papers) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (368 citations), Management Science and Operations Research (97 citations), Software (24 citations), Signal Processing (59 citations) and Information Systems (106 citations). Jack Breese has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David Heckerman, Daphne Koller, Eric Horvitz, K. W. Fertig, Gene Ball, Kenneth W. Fertig, Tracy Mullen, Joan Feigenbaum, Margo Seltzer and Samuel Holtzman. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Decision Support Systems, AI Magazine, IEEE Transactions on Pattern Analysis and Machine Intelligence and arXiv (Cornell University).

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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