Michael Johanson
Impact in
- Artificial Intelligence top 1%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
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- Advanced Bandit Algorithms Research
- Game Theory and Applications
- Auction Theory and Applications
Papers in
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- Artificial Intelligence in Games 19
- Reinforcement Learning in Robotics 7
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- Sports Analytics and Performance 11
- Co-authors
- Michael Bowling (17 shared papers)Neil Burch (10 shared papers)Martin Zinkevich (5 shared papers)Kevin Waugh (4 shared papers)Nolan Bard (6 shared papers)Martin Schmid (1 shared paper)Dustin Morrill (1 shared paper)Trevor Davis (1 shared paper)
- Journals
- Science (2 papers)Theoretical Computer Science (1 paper)Communications of the ACM (1 paper)Artificial Intelligence (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- CanadaIcelandUnited Kingdom
In The Last Decade
Michael Johanson
21 papers receiving 1.3k citations
Michael Johanson's Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 1.1k
- Management Science and Operations Research 367
- Economics and Econometrics 380
- Clinical Psychology 217
- Health Informatics 14
Countries citing papers authored by Michael Johanson
This map shows the geographic impact of Michael Johanson'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 Johanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Johanson more than expected).
Fields of papers citing papers by Michael Johanson
This network shows the impact of papers produced by Michael Johanson. 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 Johanson. The network helps show where Michael Johanson may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Johanson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepStack: Expert-level artificial intelligence in heads-up no-limit poker Hit paper breakdown → | 2017 | 472 |
| 2 | 2007 | 297 | |
| 3 | 2015 | 202 | |
| 4 | 2007 | 47 | |
| 5 | 2011 | 46 | |
| 6 | A Practical Use of Imperfect Recall | 2009 | 39 |
| 7 | Data Biased Robust Counter Strategies | 2009 | 37 |
| 8 | 2013 | 34 | |
| 9 | 2014 | 31 | |
| 10 | Solving heads-up limit Texas Hold'em | 2015 | 30 |
| 11 | 2013 | 27 | |
| 12 | 2012 | 26 | |
| 13 | 2017 | 21 | |
| 14 | 2020 | 19 | |
| 15 | 2008 | 18 | |
| 16 | 2004 | 11 | |
| 17 | 2006 | 9 | |
| 18 | 2005 | 8 | |
| 19 | 2009 | 7 | |
| 20 | 2021 | 6 |
About Michael Johanson
Michael Johanson is a scholar working on Artificial Intelligence, Economics and Econometrics, Sociology and Political Science, Management Science and Operations Research and Clinical Psychology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (19 papers), Sports Analytics and Performance (11 papers), Reinforcement Learning in Robotics (7 papers), Digital Games and Media (6 papers), Game Theory and Applications (5 papers), Gambling Behavior and Treatments (4 papers), Advanced Bandit Algorithms Research (2 papers) and Experimental Behavioral Economics Studies (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Management Science and Operations Research (367 citations), Economics and Econometrics (380 citations), Clinical Psychology (217 citations) and Health Informatics (14 citations). Michael Johanson has collaborated with scholars based in Canada, Iceland and United Kingdom. Frequent co-authors include Michael Bowling, Neil Burch, Martin Zinkevich, Kevin Waugh, Nolan Bard, Martin Schmid, Dustin Morrill, Trevor Davis, Viliam Lisý and Matej Moravčík. Their work appears in journals such as Science, Theoretical Computer Science, Communications of the ACM, Artificial Intelligence and International Conference on Artificial Intelligence and Statistics.
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.