Edmund H. Durfee

9.4k total citations
231 papers, 5.0k citations indexed

About

Edmund H. Durfee is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Edmund H. Durfee has authored 231 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Artificial Intelligence, 77 papers in Computer Networks and Communications and 76 papers in Management Science and Operations Research. Recurrent topics in Edmund H. Durfee's work include Multi-Agent Systems and Negotiation (84 papers), Logic, Reasoning, and Knowledge (70 papers) and AI-based Problem Solving and Planning (61 papers). Edmund H. Durfee is often cited by papers focused on Multi-Agent Systems and Negotiation (84 papers), Logic, Reasoning, and Knowledge (70 papers) and AI-based Problem Solving and Planning (61 papers). Edmund H. Durfee collaborates with scholars based in United States, Japan and Canada. Edmund H. Durfee's co-authors include Victor Lesser, Makoto Yokoo, Daniel D. Corkill, Piotr J. Gmytrasiewicz, Kazuhiro Kuwabara, Toru Ishida, Sandip Sen, David J. Musliner, Kang G. Shin and Dmitri Dolgov and has published in prestigious journals such as IEEE Communications Magazine, Artificial Intelligence and Computer.

In The Last Decade

Edmund H. Durfee

216 papers receiving 4.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edmund H. Durfee United States 35 3.2k 1.7k 1.2k 429 417 231 5.0k
Gerhard Weiß Netherlands 20 2.3k 0.7× 951 0.6× 738 0.6× 510 1.2× 390 0.9× 121 4.2k
Michael P. Wellman United States 40 3.0k 0.9× 1.6k 0.9× 3.2k 2.7× 727 1.7× 702 1.7× 231 6.7k
Makoto Yokoo Japan 32 1.8k 0.6× 2.6k 1.5× 2.0k 1.7× 379 0.9× 212 0.5× 245 4.8k
Michael Wooldridge United Kingdom 30 4.4k 1.4× 1.5k 0.9× 940 0.8× 1.1k 2.7× 870 2.1× 102 6.9k
Shlomo Zilberstein United States 34 3.9k 1.2× 1.7k 1.0× 1.2k 1.0× 238 0.6× 162 0.4× 233 5.7k
G. Flucke United Kingdom 35 2.6k 0.8× 1.1k 0.7× 655 0.6× 1.2k 2.7× 438 1.1× 244 4.5k
Craig Boutilier Canada 47 5.3k 1.7× 1.8k 1.0× 2.4k 2.0× 612 1.4× 286 0.7× 187 8.2k
Michael Genesereth United States 24 2.7k 0.8× 1.3k 0.8× 255 0.2× 904 2.1× 365 0.9× 80 3.8k
Haibin Zhu Canada 36 1.8k 0.6× 972 0.6× 682 0.6× 1.1k 2.7× 272 0.7× 270 4.7k
Stephen F. Smith United States 36 1.5k 0.5× 1.4k 0.8× 803 0.7× 276 0.6× 628 1.5× 236 4.7k

Countries citing papers authored by Edmund H. Durfee

Since Specialization
Citations

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

Fields of papers citing papers by Edmund H. Durfee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edmund H. Durfee. 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 Edmund H. Durfee. The network helps show where Edmund H. Durfee may publish in the future.

Co-authorship network of co-authors of Edmund H. Durfee

This figure shows the co-authorship network connecting the top 25 collaborators of Edmund H. Durfee. A scholar is included among the top collaborators of Edmund H. Durfee 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 Edmund H. Durfee. Edmund H. Durfee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Durfee, Edmund H., et al.. (2013). Distributed Reasoning for Multiagent Simple Temporal Problems. Journal of Artificial Intelligence Research. 47. 95–156. 18 indexed citations
2.
Durfee, Edmund H., et al.. (2009). Evaluating hybrid constraint tightening for scheduling agents. Adaptive Agents and Multi-Agents Systems. 673–680. 6 indexed citations
3.
Durfee, Edmund H., et al.. (2008). NP-completeness of outcome optimization for partial CP-nets. National Conference on Artificial Intelligence. 1826–1827. 2 indexed citations
4.
Musliner, David J., et al.. (2008). The Evolution of CIRCA, a Theory-Based AI Architecture with Real-Time Performance Guarantees. National Conference on Artificial Intelligence. 43–48. 7 indexed citations
5.
Durfee, Edmund H., Makoto Yokoo, Michael N. Huhns, & Onn Shehory. (2007). Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems. Adaptive Agents and Multi-Agents Systems. 168 indexed citations
6.
Dolgov, Dmitri & Edmund H. Durfee. (2006). Symmetric primal-dual approximate linear programming for factored MDPs. 6 indexed citations
7.
Durfee, Edmund H., et al.. (2002). Coordinating plan execution in dynamic multiagent environments.. Deep Blue (University of Michigan). 1 indexed citations
8.
Clement, Bradley J. & Edmund H. Durfee. (1999). Theory for coordinating concurrent hierarchical planning agents using summary information. National Conference on Artificial Intelligence. 495–502. 44 indexed citations
9.
Durfee, Edmund H.. (1999). Distributed problem solving and planning. MIT Press eBooks. 121–164. 105 indexed citations
10.
Durfee, Edmund H., et al.. (1997). Dynamic prioritization of complex agents in distributed constraint satisfaction problems. National Conference on Artificial Intelligence. 822–822. 37 indexed citations
11.
Atkins, Ella, Edmund H. Durfee, & Kang G. Shin. (1997). Detecting and reacting to unplanned-for world states. National Conference on Artificial Intelligence. 571–576. 19 indexed citations
12.
Durfee, Edmund H., et al.. (1997). The Effects of Runtime Coordination Strategies Within Static Organizations.. International Joint Conference on Artificial Intelligence. 612–619. 3 indexed citations
13.
Vidal, José M. & Edmund H. Durfee. (1997). Analyzing agents that learn about agents. National Conference on Artificial Intelligence. 849–849. 1 indexed citations
14.
Birmingham, William P., et al.. (1995). The Distributed Agent Architecture of the University of Michigan Digital Library (Extended Abstract). 3 indexed citations
15.
Sen, Sandip & Edmund H. Durfee. (1994). The Role of Commitment in Cooperative Negation.. 235–242. 1 indexed citations
16.
Durfee, Edmund H.. (1993). Organizations, Plans and Schedules: An Interdisciplinary Perspective on Coordinating AI Agents. Journal of Intelligent Systems. 3(2-4). 157–188. 13 indexed citations
17.
Gmytrasiewicz, Piotr J. & Edmund H. Durfee. (1992). A logic of knowledge and belief for recursive modeling: a preliminary report. National Conference on Artificial Intelligence. 105(51). 628–634. 13 indexed citations
18.
Adler, Mark, Edmund H. Durfee, Michael N. Huhns, William F. Punch, & Evangelos Simoudis. (1992). AAAII workshop on cooperation among heterogeneous intelligent agents. AI Magazine. 13(2). 39–42. 2 indexed citations
19.
Durfee, Edmund H. & Victor Lesser. (1988). Using partial global plans to coordinate distributed problem solvers. Morgan Kaufmann Publishers Inc. eBooks. 285–293. 24 indexed citations
20.
Durfee, Edmund H., Victor Lesser, & Daniel D. Corkill. (1985). Increasing coherence in a distributed problem-solving network. International Joint Conference on Artificial Intelligence. 60(4). 1025–1030. 34 indexed citations

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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