Michael Johanson
Impact in
- Artificial Intelligence top 1%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
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- Advanced Bandit Algorithms Research
- Game Theory and Applications
Papers in
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- Artificial Intelligence in Games 18
- Reinforcement Learning in Robotics 7
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- Sports Analytics and Performance 10
- 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)Trevor Davis (1 shared paper)Viliam Lisý (1 shared paper)Dustin Morrill (1 shared paper)
- Journals
- Science (2 papers)Artificial Intelligence (1 paper)Communications of the ACM (1 paper)Theoretical Computer Science (1 paper)International Conference on Artificial Intelligence (1 paper)
In The Last Decade
Michael Johanson
19 papers receiving 1.1k citations
Michael Johanson's Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 915
- Management Science and Operations Research 300
- Economics and Econometrics 328
- Clinical Psychology 190
- Health Informatics 12
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
| # | Work | ||
|---|---|---|---|
| 1 | DeepStack: Expert-level artificial intelligence in heads-up no-limit poker Hit paper breakdown → | 2017 | 409 |
| 2 | 2007 | 260 | |
| 3 | 2015 | 170 | |
| 4 | 2011 | 42 | |
| 5 | 2007 | 42 | |
| 6 | A Practical Use of Imperfect Recall | 2009 | 37 |
| 7 | 2013 | 34 | |
| 8 | Data Biased Robust Counter Strategies | 2009 | 30 |
| 9 | Solving heads-up limit Texas Hold'em | 2015 | 28 |
| 10 | 2014 | 25 | |
| 11 | 2013 | 24 | |
| 12 | 2012 | 23 | |
| 13 | 2008 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2017 | 12 | |
| 16 | 2005 | 5 | |
| 17 | 2009 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2014 | 3 |
About Michael Johanson
Michael Johanson is a scholar working on Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research, Sociology and Political Science and Clinical Psychology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (18 papers), Sports Analytics and Performance (10 papers), Reinforcement Learning in Robotics (7 papers), Game Theory and Applications (5 papers), Digital Games and Media (5 papers), Gambling Behavior and Treatments (4 papers), Advanced Bandit Algorithms Research (2 papers) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Artificial Intelligence (915 citations), Management Science and Operations Research (300 citations), Economics and Econometrics (328 citations), Clinical Psychology (190 citations) and Health Informatics (12 citations). Michael Johanson has collaborated with scholars based in Canada, Czechia and Spain. Frequent co-authors include Michael Bowling, Neil Burch, Martin Zinkevich, Kevin Waugh, Nolan Bard, Trevor Davis, Viliam Lisý, Dustin Morrill, Martin Schmid and Matej Moravčík. Their work appears in journals such as Science, Artificial Intelligence, Communications of the ACM, Theoretical Computer Science and International Conference on Artificial Intelligence.
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.