Trevor Davis
Impact in
- Artificial Intelligence top 5%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Health Informatics top 10%
Papers in
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- Artificial Intelligence in Games 4
- Reinforcement Learning in Robotics 2
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- Crime, Illicit Activities, and Governance 1
- Media Influence and Politics 1
- Co-authors
- Michael Bowling (4 shared papers)Viliam Lisý (2 shared papers)Neil Burch (2 shared papers)Kevin Waugh (2 shared papers)Michael Johanson (1 shared paper)Dustin Morrill (1 shared paper)Martin Schmid (1 shared paper)Matej Moravčík (1 shared paper)
- Journals
- Journal of Communication (1 paper)Science (1 paper)Journal of Global Health Reports (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)NASA Technical Reports Server (NASA) (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Trevor Davis
9 papers receiving 480 citations
Trevor Davis's Hit Papers
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 306
- Health Informatics 11
- Management Science and Operations Research 70
- Economics and Econometrics 79
- Safety Research 24
Countries citing papers authored by Trevor Davis
This map shows the geographic impact of Trevor Davis'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 Trevor Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Davis more than expected).
Fields of papers citing papers by Trevor Davis
This network shows the impact of papers produced by Trevor Davis. 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 Trevor Davis. The network helps show where Trevor Davis may publish in the future.
Co-authors
The 13 scholars most cited alongside Trevor Davis, 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 | 424 |
| 2 | 2023 | 40 | |
| 3 | 2016 | 12 | |
| 4 | 2014 | 9 | |
| 5 | 2017 | 9 | |
| 6 | Fortran Automatic Code Evaluation System (FACES) | 1974 | 4 |
| 7 | 2019 | 2 | |
| 8 | 2018 | 1 | |
| 9 | C-Like 'getopt' Behavior [R package getopt version 1.20.3] | 2019 | 1 |
About Trevor Davis
Trevor Davis is a scholar working on Artificial Intelligence, Sociology and Political Science, Economics and Econometrics, Management Science and Operations Research and Communication, having authored 9 papers that have together received 502 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (4 papers), Game Theory and Applications (2 papers), Sports Analytics and Performance (2 papers), Reinforcement Learning in Robotics (2 papers), Crime, Illicit Activities, and Governance (1 paper), Microgrid Control and Optimization (1 paper), Gambling Behavior and Treatments (1 paper) and Media Influence and Politics (1 paper). The work is most often cited by research in Artificial Intelligence (306 citations), Health Informatics (11 citations), Management Science and Operations Research (70 citations), Economics and Econometrics (79 citations) and Safety Research (24 citations). Trevor Davis has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Michael Bowling, Viliam Lisý, Neil Burch, Kevin Waugh, Michael Johanson, Dustin Morrill, Martin Schmid, Matej Moravčík, Nolan Bard and Matthew Hindman. Their work appears in journals such as Journal of Communication, Science, Journal of Global Health Reports, Proceedings of the AAAI Conference on Artificial Intelligence and NASA Technical Reports Server (NASA).
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.