Jonathan Schaeffer

7.8k total citations
200 papers, 4.0k citations indexed

About

Jonathan Schaeffer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Jonathan Schaeffer has authored 200 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Artificial Intelligence, 54 papers in Computer Networks and Communications and 42 papers in Sociology and Political Science. Recurrent topics in Jonathan Schaeffer's work include Artificial Intelligence in Games (82 papers), Digital Games and Media (41 papers) and Sports Analytics and Performance (31 papers). Jonathan Schaeffer is often cited by papers focused on Artificial Intelligence in Games (82 papers), Digital Games and Media (41 papers) and Sports Analytics and Performance (31 papers). Jonathan Schaeffer collaborates with scholars based in Canada, Israel and United States. Jonathan Schaeffer's co-authors include Duane Szafron, Adi Botea, Martin Müller, Robert C. Holte, Darse Billings, Ariel Felner, Nathan Sturtevant, Paul Lu, Neil Burch and Joseph Culberson and has published in prestigious journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and Computers & Education.

In The Last Decade

Jonathan Schaeffer

187 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Schaeffer Canada 33 2.8k 1.0k 913 725 634 200 4.0k
Simon M. Lucas United Kingdom 32 3.6k 1.3× 245 0.2× 1.7k 1.9× 454 0.6× 1.1k 1.8× 196 5.3k
Richard E. Korf United States 35 3.7k 1.3× 2.1k 2.1× 1.4k 1.5× 153 0.2× 130 0.2× 119 5.2k
Gerald Tesauro United States 31 2.1k 0.7× 761 0.8× 341 0.4× 346 0.5× 138 0.2× 71 3.5k
Diego Pérez-Liébana United Kingdom 18 2.0k 0.7× 186 0.2× 559 0.6× 305 0.4× 704 1.1× 100 2.8k
Simon Colton United Kingdom 20 1.8k 0.7× 213 0.2× 728 0.8× 204 0.3× 505 0.8× 92 2.9k
Cameron Browne Netherlands 8 1.7k 0.6× 173 0.2× 592 0.6× 224 0.3× 650 1.0× 56 2.4k
Martin Zinkevich United States 23 2.3k 0.8× 619 0.6× 515 0.6× 287 0.4× 147 0.2× 45 3.3k
Spyridon Samothrakis United Kingdom 16 1.6k 0.6× 187 0.2× 426 0.5× 255 0.4× 487 0.8× 40 2.4k
Edward J. Powley United Kingdom 12 1.3k 0.5× 165 0.2× 391 0.4× 267 0.4× 398 0.6× 29 2.0k
Michael Bowling Canada 31 3.0k 1.1× 409 0.4× 354 0.4× 619 0.9× 457 0.7× 138 4.1k

Countries citing papers authored by Jonathan Schaeffer

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Schaeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Schaeffer

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Schaeffer. A scholar is included among the top collaborators of Jonathan Schaeffer 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 Jonathan Schaeffer. Jonathan Schaeffer 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.
Schaeffer, Jonathan, et al.. (2024). Advances in Computer Games. Lecture notes in computer science. 1 indexed citations
2.
Gade, Emily Kalah, et al.. (2020). Dangers, Toils, and Snares: U.S. Senators' Rhetoric of Public Insecurity and Religiosity. Politics and Religion. 14(3). 460–483.
3.
Szafron, Duane, et al.. (2013). ScriptEase II: Platform Independent Story Creation Using High-Level Patterns. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(1). 170–176. 4 indexed citations
4.
Zhang, Zhifu, Nathan Sturtevant, Robert C. Holte, Jonathan Schaeffer, & Ariel Felner. (2009). A* search with inconsistent heuristics. International Joint Conference on Artificial Intelligence. 634–639. 13 indexed citations
5.
Sturtevant, Nathan, et al.. (2009). Memory-based heuristics for explicit state spaces. International Joint Conference on Artificial Intelligence. 609–614. 71 indexed citations
6.
Bulitko, Vadim, et al.. (2007). Dynamic control in path-planning with real-time heuristic search. International Conference on Automated Planning and Scheduling. 49–56. 15 indexed citations
7.
Szafron, Duane, et al.. (2007). A Demonstration of SQUEGE: A CRPG Sub-Quest Generator. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 3(1). 110–111. 3 indexed citations
8.
Cutumisu, Maria, et al.. (2006). A Demonstration of ScriptEase Ambient and PC-Interactive Behavior Generation for Computer Role-Playing Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2(1). 141–142. 2 indexed citations
9.
Szafron, Duane, et al.. (2006). Automatic Story Generation for Computer Role-Playing Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2(1). 147–148. 5 indexed citations
10.
Holte, Robert C., et al.. (2006). Dual search in permutation state spaces. National Conference on Artificial Intelligence. 1076–1081. 14 indexed citations
11.
Schaeffer, Jonathan, Yngvi Björnsson, Neil Burch, et al.. (2005). Solving checkers. International Joint Conference on Artificial Intelligence. 292–297. 22 indexed citations
12.
Billings, Darse, Lourdes Peña‐Castillo, Jonathan Schaeffer, & Duane Szafron. (2001). Learning to play strong poker. Nova Science Publishers, Inc. eBooks. 225–242. 13 indexed citations
13.
Billings, Darse, et al.. (1998). Opponent modeling in poker. National Conference on Artificial Intelligence. 493–499. 89 indexed citations
14.
Singh, Ajit, Jonathan Schaeffer, & Duane Szafron. (1996). Views on template-based parallel programming. Conference of the Centre for Advanced Studies on Collaborative Research. 35. 2 indexed citations
15.
Schaeffer, Jonathan, et al.. (1995). Performance debugging in the enterprise parallel programming system. Conference of the Centre for Advanced Studies on Collaborative Research. 61. 1 indexed citations
16.
Plaat, Aske, Jonathan Schaeffer, Wim Pijls, & Arie de Bruin. (1995). Best-first fixed-depth game-tree search in practice. Data Archiving and Networked Services (DANS). 273–279. 9 indexed citations
17.
Schaeffer, Jonathan, et al.. (1993). Man Versus Machine for the World Checkers Championship. AI Magazine. 14(2). 28–35. 10 indexed citations
18.
Schuurmans, Dale & Jonathan Schaeffer. (1989). Representational difficulties with classifier systems. international conference on Genetic algorithms. 328–333. 13 indexed citations
19.
Schaeffer, Jonathan, et al.. (1989). VCS: variable classifier systems. international conference on Genetic algorithms. 334–339. 5 indexed citations
20.
Singh, Ajit, Jonathan Schaeffer, & Mark Green. (1989). Structuring Distributed Algorithms in a Workstation Environment: The FrameWorks Approach.. Proceedings of the International Conference on Parallel Processing. 89–97. 9 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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