Michael Buro

2.5k total citations
63 papers, 1.3k citations indexed

About

Michael Buro is a scholar working on Artificial Intelligence, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Michael Buro has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 25 papers in Sociology and Political Science and 15 papers in Economics and Econometrics. Recurrent topics in Michael Buro's work include Artificial Intelligence in Games (48 papers), Digital Games and Media (24 papers) and Sports Analytics and Performance (15 papers). Michael Buro is often cited by papers focused on Artificial Intelligence in Games (48 papers), Digital Games and Media (24 papers) and Sports Analytics and Performance (15 papers). Michael Buro collaborates with scholars based in Canada, United States and Germany. Michael Buro's co-authors include David G. Churchill, Nathan Sturtevant, Marius Stănescu, Nicolas A. Barriga, Santiago Ontañón, Marc Lanctot, Jeffrey R. Long, Shuyi Zhang, T.A. Marsland and Bruno Bouzy and has published in prestigious journals such as Artificial Intelligence, IEEE Internet of Things Journal and Theoretical Computer Science.

In The Last Decade

Michael Buro

59 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Buro Canada 23 1.2k 446 333 232 185 63 1.3k
Yngvi Björnsson Iceland 14 723 0.6× 275 0.6× 245 0.7× 216 0.9× 92 0.5× 41 840
Mark H. M. Winands Netherlands 16 759 0.6× 317 0.7× 131 0.4× 297 1.3× 90 0.5× 89 863
Guillaume Chaslot Netherlands 10 641 0.5× 217 0.5× 119 0.4× 239 1.0× 73 0.4× 18 729
Tristan Cazenave France 13 553 0.5× 163 0.4× 112 0.3× 181 0.8× 61 0.3× 71 633
István Szita Hungary 8 416 0.3× 70 0.2× 51 0.2× 40 0.2× 41 0.2× 18 544
Bei Shi China 11 606 0.5× 42 0.1× 87 0.3× 24 0.1× 15 0.1× 22 723
Steve Rabin United States 7 206 0.2× 56 0.1× 105 0.3× 13 0.1× 49 0.3× 15 346
Nicholas V. Findler United States 11 439 0.4× 31 0.1× 42 0.1× 27 0.1× 18 0.1× 79 696
Kuan‐Ta Chen Taiwan 16 147 0.1× 160 0.4× 488 1.5× 11 0.0× 13 0.1× 30 844
Nicolas Sonnerat United Kingdom 4 411 0.3× 55 0.1× 84 0.3× 20 0.1× 10 0.1× 5 600

Countries citing papers authored by Michael Buro

Since Specialization
Citations

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

Fields of papers citing papers by Michael Buro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Buro

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Buro. A scholar is included among the top collaborators of Michael Buro 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 Michael Buro. Michael Buro 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.
Lan, Long, et al.. (2022). Online Multiple-Pedestrian Tracking With Detection-Pair-Based Graph Convolutional Networks. IEEE Internet of Things Journal. 9(24). 25086–25099. 5 indexed citations
2.
Barriga, Nicolas A., Marius Stănescu, & Michael Buro. (2015). Puppet Search: Enhancing Scripted Behavior by Look-Ahead Search with Applications to Real-Time Strategy Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11(1). 9–15. 22 indexed citations
3.
Stănescu, Marius, Nicolas A. Barriga, & Michael Buro. (2015). Using Lanchester Attrition Laws for Combat Prediction in StarCraft. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11(1). 86–92. 23 indexed citations
4.
Churchill, David G. & Michael Buro. (2015). Hierarchical Portfolio Search: Prismata's Robust AI Architecture for Games with Large Search Spaces. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11(1). 16–22. 17 indexed citations
5.
Stănescu, Marius, Nicolas A. Barriga, & Michael Buro. (2014). Hierarchical Adversarial Search Applied to Real-Time Strategy Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 66–72. 27 indexed citations
6.
Buro, Michael, et al.. (2014). Global State Evaluation in StarCraft. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 112–118. 23 indexed citations
7.
Barriga, Nicolas A., Marius Stănescu, & Michael Buro. (2014). Building Placement Optimization in Real-Time Strategy Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(2). 2–7. 7 indexed citations
8.
Stănescu, Marius, et al.. (2013). Predicting Army Combat Outcomes in StarCraft. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(1). 86–92. 27 indexed citations
9.
Buro, Michael & David G. Churchill. (2013). AIIDE 2013 StarCraft Competition. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). xv–xv. 2 indexed citations
10.
Churchill, David G. & Michael Buro. (2012). Incorporating Search Algorithms into RTS Game Agents. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(3). 2–7. 19 indexed citations
11.
Buro, Michael & David G. Churchill. (2012). AIIDE 2012 StarCraft Competition. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). xiv–xiv. 2 indexed citations
12.
Churchill, David G., et al.. (2012). Fast Heuristic Search for RTS Game Combat Scenarios. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). 112–117. 82 indexed citations
13.
Long, Jeffrey D. & Michael Buro. (2011). Real-time opponent modelling in trick-taking card games. International Joint Conference on Artificial Intelligence. 617–622. 2 indexed citations
14.
Buro, Michael, et al.. (2009). Improving state evaluation, inference, and search in trick-based card games. International Joint Conference on Artificial Intelligence. 1407–1413. 34 indexed citations
15.
Buro, Michael, et al.. (2009). Minimum proof graphs and fastest-cut-first search heuristics. International Joint Conference on Artificial Intelligence. 492–498. 6 indexed citations
16.
Buro, Michael, et al.. (2007). HPA* Enhancements. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 3(1). 84–87. 1 indexed citations
17.
Buro, Michael, et al.. (2007). Concurrent action execution with shared fluents. National Conference on Artificial Intelligence. 950–955. 2 indexed citations
18.
Sturtevant, Nathan & Michael Buro. (2006). Improving Collaborative Pathfinding Using Map Abstraction. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2(1). 80–85. 47 indexed citations
19.
Kiyomi, Masashi, et al.. (2005). Generalized amazons is PSPACE-complete. International Joint Conference on Artificial Intelligence. 132–137. 7 indexed citations
20.
Buro, Michael. (2003). Real-time strategy gaines: a new AI research challenge. International Joint Conference on Artificial Intelligence. 1534–1535. 88 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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