Freek Stulp
Impact in
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
Papers in
-
- Robot Manipulation and Learning 57
-
- Reinforcement Learning in Robotics 38
- AI-based Problem Solving and Planning 15
- Co-authors
- Stefan Schaal (14 shared papers)Evangelos A. Theodorou (14 shared papers)Jonas Buchli (9 shared papers)Michael Beetz (25 shared papers)Olivier Sigaud (3 shared papers)Alin Albu‐Schäffer (17 shared papers)Daniel Leidner (12 shared papers)Franziska Meier (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (13 papers)Autonomous Robots (4 papers)Advanced Robotics (2 papers)Robotics and Autonomous Systems (2 papers)IEEE Transactions on Affective Computing (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Freek Stulp
107 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 119
- Control and Systems Engineering 1.3k
- Artificial Intelligence 665
- Computer Vision and Pattern Recognition 396
- Biomedical Engineering 721
- Human-Computer Interaction 94
Countries citing papers authored by Freek Stulp
This map shows the geographic impact of Freek Stulp'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 Freek Stulp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Freek Stulp more than expected).
Fields of papers citing papers by Freek Stulp
This network shows the impact of papers produced by Freek Stulp. 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 Freek Stulp. The network helps show where Freek Stulp may publish in the future.
Co-authors
The 25 scholars most cited alongside Freek Stulp, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 280 | |
| 2 | 2015 | 165 | |
| 3 | 2012 | 153 | |
| 4 | 2013 | 90 | |
| 5 | 2011 | 62 | |
| 6 | 2010 | 58 | |
| 7 | 2011 | 55 | |
| 8 | 2011 | 52 | |
| 9 | 2012 | 51 | |
| 10 | 2012 | 51 | |
| 11 | 2019 | 47 | |
| 12 | 2009 | 46 | |
| 13 | 2010 | 40 | |
| 14 | 2019 | 40 | |
| 15 | 2020 | 39 | |
| 16 | 2020 | 38 | |
| 17 | 2017 | 37 | |
| 18 | 2017 | 35 | |
| 19 | 2008 | 33 | |
| 20 | 2021 | 33 |
About Freek Stulp
Freek Stulp is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering and Biomedical Engineering, having authored 115 papers that have together received 2.2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (57 papers), Reinforcement Learning in Robotics (38 papers), AI-based Problem Solving and Planning (15 papers), Robotic Path Planning Algorithms (15 papers), Teleoperation and Haptic Systems (12 papers), Modular Robots and Swarm Intelligence (11 papers), Motor Control and Adaptation (10 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Artificial Intelligence (665 citations), Computer Vision and Pattern Recognition (396 citations), Biomedical Engineering (721 citations) and Human-Computer Interaction (94 citations). Freek Stulp has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Stefan Schaal, Evangelos A. Theodorou, Jonas Buchli, Michael Beetz, Olivier Sigaud, Alin Albu‐Schäffer, Daniel Leidner, Franziska Meier, Gennaro Raiola and Bernd Radig. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, Advanced Robotics, Robotics and Autonomous Systems and IEEE Transactions on Affective Computing.
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.