Michael Kaisers
Impact in
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- Game Theory and Applications
- Auction Theory and Applications
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- Microgrid Control and Optimization
Papers in
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- Reinforcement Learning in Robotics 8
- Artificial Intelligence in Games 7
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- Auction Theory and Applications 12
- Game Theory and Applications 11
- Co-authors
- Karl Tuyls (15 shared papers)Daan Bloembergen (7 shared papers)Pablo Hernández-Leal (6 shared papers)Daniel Hennes (3 shared papers)Zita Vale (1 shared paper)Tiago Pinto (1 shared paper)João Soares (1 shared paper)Fernando Lezama (1 shared paper)
- Journals
- IEEE Transactions on Power Systems (1 paper)Computational Economics (1 paper)Applied Energy (1 paper)Journal of Artificial Intelligence Research (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Michael Kaisers
45 papers receiving 823 citations
Peers
Comparison fields: 5 of 83
- Management Science and Operations Research 199
- Control and Systems Engineering 205
- Safety Research 67
- Artificial Intelligence 250
- Electrical and Electronic Engineering 370
Countries citing papers authored by Michael Kaisers
This map shows the geographic impact of Michael Kaisers'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 Kaisers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kaisers more than expected).
Fields of papers citing papers by Michael Kaisers
This network shows the impact of papers produced by Michael Kaisers. 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 Kaisers. The network helps show where Michael Kaisers may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Kaisers, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 247 | |
| 2 | 2015 | 179 | |
| 3 | 2012 | 97 | |
| 4 | 2019 | 64 | |
| 5 | 2010 | 42 | |
| 6 | 2017 | 32 | |
| 7 | Addressing environment non-stationarity by repeating Q-learning updates | 2016 | 24 |
| 8 | 2011 | 23 | |
| 9 | 2009 | 18 | |
| 10 | 2017 | 14 | |
| 11 | FAQ-learning in matrix games: demonstrating convergence near Nash equilibria, and bifurcation of attractors in the battle of sexes | 2011 | 12 |
| 12 | 2018 | 10 | |
| 13 | 2011 | 9 | |
| 14 | 2009 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2008 | 8 | |
| 17 | 2018 | 7 | |
| 18 | Learning against sequential opponents in repeated stochastic games | 2017 | 7 |
| 19 | 2012 | 6 | |
| 20 | 2012 | 5 |
About Michael Kaisers
Michael Kaisers is a scholar working on Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering, Economics and Econometrics and Control and Systems Engineering, having authored 49 papers that have together received 886 indexed citations. Recurring topics across this work include Smart Grid Energy Management (16 papers), Auction Theory and Applications (12 papers), Game Theory and Applications (11 papers), Reinforcement Learning in Robotics (8 papers), Electric Power System Optimization (8 papers), Artificial Intelligence in Games (7 papers), Electric Vehicles and Infrastructure (4 papers) and Experimental Behavioral Economics Studies (4 papers). The work is most often cited by research in Management Science and Operations Research (199 citations), Control and Systems Engineering (205 citations), Safety Research (67 citations), Artificial Intelligence (250 citations) and Electrical and Electronic Engineering (370 citations). Michael Kaisers has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Karl Tuyls, Daan Bloembergen, Pablo Hernández-Leal, Daniel Hennes, Zita Vale, Tiago Pinto, João Soares, Fernando Lezama, Tim Baarslag and Shantanu Chakraborty. Their work appears in journals such as IEEE Transactions on Power Systems, Computational Economics, Applied Energy, Journal of Artificial Intelligence Research and Journal of Machine Learning 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.