Torsten Koller
Impact in
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Control Systems and Identification
- Robot Manipulation and Learning
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- Reinforcement Learning in Robotics
- Gaussian Processes and Bayesian Inference
Papers in ⓘ
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- Advanced Control Systems Optimization 3
- Control Systems and Identification 2
- Robot Manipulation and Learning 1
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- Reinforcement Learning in Robotics 2
- Machine Learning and Algorithms 1
- Gaussian Processes and Bayesian Inference 1
- Co-authors
- Matteo Turchetta (2 shared papers)Felix Berkenkamp (2 shared papers)Andreas Krause (2 shared papers)Joschka Boedecker (2 shared papers)Wolfram Burgard (1 shared paper)Jan Peters (1 shared paper)Bastian Bischoff (1 shared paper)Gianluca Frison (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IFAC-PapersOnLine (1 paper)elib (German Aerospace Center) (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Torsten Koller
6 papers receiving 195 citations
Peers
Comparison fields: 5 of 39
- Control and Systems Engineering 136
- Artificial Intelligence 85
- Automotive Engineering 27
- Computer Vision and Pattern Recognition 27
- Computational Theory and Mathematics 21
Countries citing papers authored by Torsten Koller
This map shows the geographic impact of Torsten Koller'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 Torsten Koller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Koller more than expected).
Fields of papers citing papers by Torsten Koller
This network shows the impact of papers produced by Torsten Koller. 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 Torsten Koller. The network helps show where Torsten Koller may publish in the future.
Co-authors
The 11 scholars most cited alongside Torsten Koller, 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 | 2018 | 171 | |
| 2 | 2020 | 22 | |
| 3 | 2018 | 7 | |
| 4 | 2020 | 3 | |
| 5 | Design and operation of a small ice store | 2008 | 1 |
| 6 | Learning-based Model Predictive Control for Safe Reinforcement Learning | 2019 | 1 |
About Torsten Koller
Torsten Koller is a scholar working on Control and Systems Engineering, Artificial Intelligence, Social Psychology, Management Science and Operations Research and Building and Construction, having authored 6 papers that have together received 205 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (3 papers), Reinforcement Learning in Robotics (2 papers), Control Systems and Identification (2 papers), Machine Learning and Algorithms (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Robot Manipulation and Learning (1 paper), Social Robot Interaction and HRI (1 paper) and Advanced Bandit Algorithms Research (1 paper). The work is most often cited by research in Control and Systems Engineering (136 citations), Artificial Intelligence (85 citations), Automotive Engineering (27 citations), Computer Vision and Pattern Recognition (27 citations) and Computational Theory and Mathematics (21 citations). Torsten Koller has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Matteo Turchetta, Felix Berkenkamp, Andreas Krause, Joschka Boedecker, Wolfram Burgard, Jan Peters, Bastian Bischoff, Gianluca Frison, Péter Engelmann and Hans Müller‐Steinhagen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IFAC-PapersOnLine and elib (German Aerospace Center).
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.