Raphaël Fonteneau
Impact in
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- Microgrid Control and Optimization
Papers in
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- Reinforcement Learning in Robotics 17
- Artificial Intelligence in Games 5
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- Smart Grid Energy Management 12
- Optimal Power Flow Distribution 7
- Integrated Energy Systems Optimization 4
- Co-authors
- Damien Ernst (37 shared papers)Mevludin Glavić (3 shared papers)Vincent François-Lavet (5 shared papers)Olivier Frédéric (6 shared papers)Louis Wehenkel (9 shared papers)Susan A. Murphy (8 shared papers)Damien Ernst (9 shared papers)Antonio Sutera (2 shared papers)
- Journals
- PLoS ONE (1 paper)Energy Policy (1 paper)Annals of Operations Research (1 paper)Journal of Machine Learning Research (1 paper)International Journal of Electrical Power & Energy Systems (1 paper)
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Raphaël Fonteneau
46 papers receiving 593 citations
Peers
Comparison fields: 5 of 86
- Energy Engineering and Power Technology 52
- Control and Systems Engineering 200
- Electrical and Electronic Engineering 395
- Virology 24
- Artificial Intelligence 98
Countries citing papers authored by Raphaël Fonteneau
This map shows the geographic impact of Raphaël Fonteneau'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 Raphaël Fonteneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Fonteneau more than expected).
Fields of papers citing papers by Raphaël Fonteneau
This network shows the impact of papers produced by Raphaël Fonteneau. 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 Raphaël Fonteneau. The network helps show where Raphaël Fonteneau may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Fonteneau, 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 | 2017 | 149 | |
| 2 | Deep Reinforcement Learning Solutions for Energy Microgrids Management | 2016 | 98 |
| 3 | 2018 | 44 | |
| 4 | 2020 | 37 | |
| 5 | 2014 | 24 | |
| 6 | 2012 | 23 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 19 | |
| 9 | Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning | 2012 | 14 |
| 10 | 2020 | 14 | |
| 11 | 2015 | 13 | |
| 12 | Foreseeing New Control Challenges in Electricity Prosumer Communities | 2017 | 12 |
| 13 | 2008 | 12 | |
| 14 | Variable selection for dynamic treatment regimes: a reinforcement learning approach | 2008 | 11 |
| 15 | 2017 | 10 | |
| 16 | 2009 | 10 | |
| 17 | 2012 | 9 | |
| 18 | 2009 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2017 | 8 |
About Raphaël Fonteneau
Raphaël Fonteneau is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Management Science and Operations Research and Computational Theory and Mathematics, having authored 49 papers that have together received 607 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (17 papers), Smart Grid Energy Management (12 papers), Advanced Bandit Algorithms Research (9 papers), Optimal Power Flow Distribution (7 papers), Advanced Control Systems Optimization (5 papers), Artificial Intelligence in Games (5 papers), Hybrid Renewable Energy Systems (5 papers) and Integrated Energy Systems Optimization (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (52 citations), Control and Systems Engineering (200 citations), Electrical and Electronic Engineering (395 citations), Virology (24 citations) and Artificial Intelligence (98 citations). Raphaël Fonteneau has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Damien Ernst, Mevludin Glavić, Vincent François-Lavet, Olivier Frédéric, Louis Wehenkel, Susan A. Murphy, Damien Ernst, Antonio Sutera, Axel Gautier and Pierre Geurts. Their work appears in journals such as PLoS ONE, Energy Policy, Annals of Operations Research, Journal of Machine Learning Research and International Journal of Electrical Power & Energy Systems.
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.