Bart Selman

17.5k total citations · 5 hit papers
123 papers, 7.9k citations indexed

About

Bart Selman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Bart Selman has authored 123 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 62 papers in Computer Networks and Communications and 23 papers in Computational Theory and Mathematics. Recurrent topics in Bart Selman's work include Constraint Satisfaction and Optimization (46 papers), Logic, Reasoning, and Knowledge (36 papers) and AI-based Problem Solving and Planning (30 papers). Bart Selman is often cited by papers focused on Constraint Satisfaction and Optimization (46 papers), Logic, Reasoning, and Knowledge (36 papers) and AI-based Problem Solving and Planning (30 papers). Bart Selman collaborates with scholars based in United States, Canada and France. Bart Selman's co-authors include Henry Kautz, Carla P. Gomes, Hector J. Levesque, David G. M. Mitchell, Scott Kirkpatrick, Mehul A. Shah, David McAllester, Ashish Sabharwal, Nuno Crato and Ryan Williams and has published in prestigious journals such as Nature, Science and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Bart Selman

119 papers receiving 6.8k citations

Hit Papers

A new method for solving hard satisfiability problems 1992 2026 2003 2014 1992 1997 1996 1992 1994 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart Selman United States 41 5.1k 3.8k 2.2k 883 798 123 7.9k
Toby Walsh Australia 36 3.2k 0.6× 2.0k 0.5× 1.3k 0.6× 767 0.9× 1.4k 1.7× 245 6.2k
Mihalis Yannakakis United States 61 4.7k 0.9× 5.9k 1.5× 8.0k 3.6× 1.6k 1.8× 907 1.1× 205 14.8k
Hector J. Levesque Canada 40 7.2k 1.4× 1.8k 0.5× 1.4k 0.6× 418 0.5× 560 0.7× 148 8.7k
Charles J. Colbourn United States 41 2.8k 0.5× 2.5k 0.6× 2.3k 1.0× 275 0.3× 549 0.7× 376 9.7k
Michael Luby United States 49 4.3k 0.8× 9.0k 2.4× 3.1k 1.4× 1.1k 1.2× 363 0.5× 124 13.9k
Yishay Mansour Israel 43 5.0k 1.0× 2.3k 0.6× 1.7k 0.8× 269 0.3× 2.0k 2.5× 232 9.0k
Daniel D. Sleator United States 27 2.2k 0.4× 4.0k 1.0× 1.7k 0.8× 639 0.7× 851 1.1× 41 6.4k
Uriel Feige Israel 43 2.9k 0.6× 3.0k 0.8× 4.3k 2.0× 376 0.4× 747 0.9× 180 8.1k
Stephen Cook Canada 34 4.3k 0.8× 1.6k 0.4× 5.2k 2.4× 324 0.4× 214 0.3× 133 7.7k
Richard R. Muntz United States 38 1.4k 0.3× 3.5k 0.9× 921 0.4× 1.2k 1.3× 671 0.8× 157 6.6k

Countries citing papers authored by Bart Selman

Since Specialization
Citations

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

Fields of papers citing papers by Bart Selman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart Selman

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Selman. A scholar is included among the top collaborators of Bart Selman 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 Bart Selman. Bart Selman 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.
Ermon, Stefano, Carla P. Gomes, Ashish Sabharwal, & Bart Selman. (2014). Low-density Parity Constraints for Hashing-Based Discrete Integration. International Conference on Machine Learning. 271–279. 28 indexed citations
2.
Ermon, Stefano, Carla P. Gomes, Ashish Sabharwal, & Bart Selman. (2011). Accelerated Adaptive Markov Chain for Partition Function Computation. Neural Information Processing Systems. 24. 2744–2752. 6 indexed citations
3.
Ermon, Stefano, Carla P. Gomes, & Bart Selman. (2011). A message passing approach to multiagent gaussian inference for dynamic processes. Adaptive Agents and Multi-Agents Systems. 1277–1278. 1 indexed citations
4.
Ermon, Stefano, Carla P. Gomes, & Bart Selman. (2010). Collaborative multiagent Gaussian inference in a dynamic environment using belief propagation. Adaptive Agents and Multi-Agents Systems. 1419–1420. 1 indexed citations
5.
Sabharwal, Ashish, et al.. (2010). Understanding sampling-based adversarial search methods. eCommons (Cornell University). 474–483. 6 indexed citations
6.
Kroc, Lukáš, Ashish Sabharwal, Carla P. Gomes, & Bart Selman. (2009). Integrating systematic and local search paradigms: a new strategy for MaxSAT. International Joint Conference on Artificial Intelligence. 544–551. 22 indexed citations
7.
Gomes, Carla P., Ashish Sabharwal, & Bart Selman. (2006). Model counting: a new strategy for obtaining good bounds. National Conference on Artificial Intelligence. 54–61. 56 indexed citations
8.
Interian, Yannet, et al.. (2006). Finding Small Unsatisfiable Cores to Prove Unsatisfiability of QBFs.. 1 indexed citations
9.
Hoffmann, Jöerg, Carla P. Gomes, & Bart Selman. (2006). STRUCTURE AND PROBLEM HARDNESS: GOAL ASYMMETRY AND DPLL PROOFS IN SAT-BASED PLANNING. 8 indexed citations
10.
Kautz, Henry, Eric Horvitz, Yongshao Ruan, Carla P. Gomes, & Bart Selman. (2002). Dynamic restart policies. National Conference on Artificial Intelligence. 674–681. 57 indexed citations
11.
Huang, Yi‐Cheng, Bart Selman, & Henry Kautz. (2000). Learning Declarative Control Rules for Constraint-BAsed Planning. International Conference on Machine Learning. 415–422. 27 indexed citations
12.
Huang, Yi‐Cheng, Bart Selman, & Henry Kautz. (1999). Control knowledge in planning: benefits and tradeoffs. National Conference on Artificial Intelligence. 511–517. 31 indexed citations
13.
McAllester, David, Bart Selman, & Henry Kautz. (1997). Evidence for invariants in local search. National Conference on Artificial Intelligence. 321–326. 184 indexed citations
14.
Gomes, Carla P. & Bart Selman. (1997). Problem structure in the presence of perturbations. National Conference on Artificial Intelligence. 221–226. 67 indexed citations
15.
Kautz, Henry, David McAllester, & Bart Selman. (1996). Encoding plans in propositional logic. Principles of Knowledge Representation and Reasoning. 374–384. 175 indexed citations
16.
Kautz, Henry, et al.. (1995). The comparative linguistics of knowledge representation. International Joint Conference on Artificial Intelligence. 862–869. 60 indexed citations
17.
Selman, Bart. (1994). Domain-specific complexity tradeoffs. European Conference on Artificial Intelligence. 416–420. 1 indexed citations
18.
Kautz, Henry, Michael Kearns, & Bart Selman. (1993). Reasoning with characteristic models. National Conference on Artificial Intelligence. 34–39. 33 indexed citations
19.
Kautz, Henry & Bart Selman. (1992). Planning as satisfiability. European Conference on Artificial Intelligence. 359–363. 461 indexed citations breakdown →
20.
Selman, Bart, Hector J. Levesque, & David G. M. Mitchell. (1992). A new method for solving hard satisfiability problems. National Conference on Artificial Intelligence. 440–446. 661 indexed citations breakdown →

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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