Matthieu Geist
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Speech and dialogue systems
- Topic Modeling
- Anomaly Detection Techniques and Applications
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
Papers in
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- Reinforcement Learning in Robotics 22
- Speech and dialogue systems 5
- Anomaly Detection Techniques and Applications 4
- Topic Modeling 4
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- Adaptive Dynamic Programming Control 8
- Co-authors
- Olivier Pietquin (25 shared papers)Bilal Piot (4 shared papers)Andreas Holzinger (3 shared papers)Johannes Kropf (3 shared papers)Sten Hanke (3 shared papers)Erinç Merdivan (3 shared papers)Deepika Singh (3 shared papers)Ismini Psychoula (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)Lecture notes in computer science (15 papers)IEEE Robotics and Automation Letters (1 paper)Ultrasonics (1 paper)Journal of Intelligent & Robotic Systems (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Matthieu Geist
46 papers receiving 676 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 396
- Computer Vision and Pattern Recognition 208
- Computer Networks and Communications 126
- Management Science and Operations Research 64
- Control and Systems Engineering 96
Countries citing papers authored by Matthieu Geist
This map shows the geographic impact of Matthieu Geist'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 Matthieu Geist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Geist more than expected).
Fields of papers citing papers by Matthieu Geist
This network shows the impact of papers produced by Matthieu Geist. 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 Matthieu Geist. The network helps show where Matthieu Geist may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthieu Geist, 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 | 151 | |
| 2 | 2016 | 67 | |
| 3 | 2017 | 66 | |
| 4 | 2011 | 43 | |
| 5 | 2014 | 33 | |
| 6 | What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study | 2021 | 29 |
| 7 | 2012 | 28 | |
| 8 | 2020 | 25 | |
| 9 | 2013 | 23 | |
| 10 | 2020 | 15 | |
| 11 | 2012 | 15 | |
| 12 | 2013 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2012 | 12 | |
| 16 | 2009 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2009 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2013 | 10 |
About Matthieu Geist
Matthieu Geist is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 49 papers that have together received 704 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (22 papers), Adaptive Dynamic Programming Control (8 papers), Speech and dialogue systems (5 papers), Anomaly Detection Techniques and Applications (4 papers), Topic Modeling (4 papers), Advanced Bandit Algorithms Research (4 papers), Control Systems and Identification (3 papers) and Geophysical Methods and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (396 citations), Computer Vision and Pattern Recognition (208 citations), Computer Networks and Communications (126 citations), Management Science and Operations Research (64 citations) and Control and Systems Engineering (96 citations). Matthieu Geist has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Olivier Pietquin, Bilal Piot, Andreas Holzinger, Johannes Kropf, Sten Hanke, Erinç Merdivan, Deepika Singh, Ismini Psychoula, Bruno Scherrer and Gabriel Fricout. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Lecture notes in computer science, IEEE Robotics and Automation Letters, Ultrasonics and Journal of Intelligent & Robotic 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.