Michael Buro

2.5k citations
66 papers · 1.3k · h-index 24

Impact in

Papers in

Michael Buro

62 papers receiving 1.2k citations

Peers

Michael Buro
Comparison fields: 5 of 63
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 335
  • Developmental and Educational Psychology 186
  • Sociology and Political Science 446
  • Economics and Econometrics 233
Replace Yngvi Björnsson with:
Yngvi Björnsson Iceland
Mark H. M. Winands Netherlands
Guillaume Chaslot Netherlands
Tristan Cazenave France
István Szita Hungary
Bei Shi China
Ian Millington United States
Kuan‐Ta Chen Taiwan
Nicholas V. Findler United States
Harri Hakonen Finland
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Citations per field
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Yngvi Björnsson · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Buro, 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 Michael Buro Line = papers co-authored together Michael Buro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Real-time strategy gaines: a new AI research challenge
200388
2 201386
3 201283
4
Partial pathfinding using map abstraction and refinement
200580
5 201164
6
Adversarial hierarchical-task network planning for complex real-time games
201559
7
Call for AI Research in RTS Games
200449
8 200647
9 200745
10 201044
11 201241
12
RTS games and real-time AI research
200437
13 199737
14 201635
15
Improving state evaluation, inference, and search in trick-based card games
200935
16 200232
17
RTS Games as Test-Bed for Real-Time AI Research
200330
18 201427
19 201327
20 201725

About Michael Buro

Michael Buro is a scholar working on Artificial Intelligence, Sociology and Political Science, Economics and Econometrics, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (50 papers), Digital Games and Media (24 papers), Sports Analytics and Performance (15 papers), Reinforcement Learning in Robotics (10 papers), Educational Games and Gamification (8 papers), AI-based Problem Solving and Planning (8 papers), Evolutionary Algorithms and Applications (6 papers) and Aging, Elder Care, and Social Issues (5 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (335 citations), Developmental and Educational Psychology (186 citations), Sociology and Political Science (446 citations) and Economics and Econometrics (233 citations). Michael Buro has collaborated with scholars based in Canada, United States and France. Frequent 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. Their work appears in journals such as AI Magazine, Theoretical Computer Science, IEEE Computational Intelligence Magazine, IEEE Internet of Things Journal and Journal of Artificial Intelligence Research.

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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