Jan Peters
Impact in
- Control and Systems Engineering top 0.05%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Artificial Intelligence top 0.05%
- Reinforcement Learning in Robotics
- Gaussian Processes and Bayesian Inference
Papers in
-
- Robot Manipulation and Learning 187
- Robotic Mechanisms and Dynamics 39
- Control Systems and Identification 26
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- Reinforcement Learning in Robotics 178
- Gaussian Processes and Bayesian Inference 42
- Co-authors
- Jens KoberStefan SchaalJ. Andrew BagnellGerhard NeumannDuy Nguyen-TuongOliver KroemerMarc Peter DeisenrothKatharina Mülling
- Journals
- IEEE Robotics and Automation Letters (21 papers)The International Journal of Robotics Research (12 papers)IEEE Transactions on Robotics (11 papers)Autonomous Robots (7 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (7 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jan Peters
390 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Control and Systems Engineering 7.7k
- Artificial Intelligence 7.2k
- Computer Vision and Pattern Recognition 2.6k
- Cognitive Neuroscience 1.8k
- Human-Computer Interaction 496
Countries citing papers authored by Jan Peters
This map shows the geographic impact of Jan Peters'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 Jan Peters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Peters more than expected).
Fields of papers citing papers by Jan Peters
This network shows the impact of papers produced by Jan Peters. 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 Jan Peters. The network helps show where Jan Peters may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Peters, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 32 | |
| 13 | 2019 | 4 | |
| 14 | 2018 | 11 | |
| 15 | Non-parametric policy search with limited information loss | 2017 | 17 |
| 16 | Probabilistic Modeling of Human Dynamics for Intention Inference | 2012 | 4 |
| 17 | Learning to Select and Generalize Striking Movements in Robot Table Tennis | 2012 | 11 |
| 18 | Relative Entropy Inverse Reinforcement Learning | 2011 | 143 |
| 19 | 2008 | 102 | |
| 20 | Reinforcement Learning for Humanoid Robotics | 2003 | 171 |
About Jan Peters
Jan Peters is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction, having authored 414 papers that have together received 14.8k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (187 papers), Reinforcement Learning in Robotics (178 papers), Gaussian Processes and Bayesian Inference (42 papers), Robotic Mechanisms and Dynamics (39 papers), Robotic Locomotion and Control (34 papers), Robotic Path Planning Algorithms (28 papers), Muscle activation and electromyography studies (26 papers) and Control Systems and Identification (26 papers). The work is most often cited by research in Control and Systems Engineering (7.7k citations), Artificial Intelligence (7.2k citations), Computer Vision and Pattern Recognition (2.6k citations), Cognitive Neuroscience (1.8k citations) and Human-Computer Interaction (496 citations). Jan Peters has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jens Kober, Stefan Schaal, J. Andrew Bagnell, Gerhard Neumann, Duy Nguyen-Tuong, Oliver Kroemer, Marc Peter Deisenroth, Katharina Mülling, Christian Daniel and Matthias Seeger. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, IEEE Transactions on Robotics, Autonomous Robots and IEEE Transactions on Pattern Analysis and Machine 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.