Sebastian Trimpe
- Control and Systems Engineering top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Raffaello D’AndreaFrank AllgöwerVincent BerenzDominik BaumannJohannes KöhlerJulian NubertMichael MuehlebachChristian Fiedler
- Topics
- Advanced Control Systems Optimization (24 papers)Fault Detection and Control Systems (19 papers)Gaussian Processes and Bayesian Inference (17 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Sebastian Trimpe
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Control and Systems Engineering 840
- Computer Networks and Communications 478
- Artificial Intelligence 313
- Electrical and Electronic Engineering 137
- Biomedical Engineering 98
Countries citing papers authored by Sebastian Trimpe
This map shows the geographic impact of Sebastian Trimpe'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 Sebastian Trimpe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Trimpe more than expected).
Fields of papers citing papers by Sebastian Trimpe
This network shows the impact of papers produced by Sebastian Trimpe. 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 Sebastian Trimpe. The network helps show where Sebastian Trimpe may publish in the future.
Co-authorship network of co-authors of Sebastian Trimpe
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Trimpe. A scholar is included among the top collaborators of Sebastian Trimpe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebastian Trimpe. Sebastian Trimpe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors | 2 |
| 13 | 3 | |
| 14 | 43 | |
| 15 | 140 | |
| 16 | Actively Learning Gaussian Process Dynamics | 11 |
| 17 | 66 | |
| 18 | 10 | |
| 19 | 17 | |
| 20 | Optimizing Long-term Predictions for Model-based Policy Search | 14 |
About Sebastian Trimpe
Sebastian Trimpe is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (24 papers), Fault Detection and Control Systems (19 papers) and Gaussian Processes and Bayesian Inference (17 papers). The work is most often cited by research in Control and Systems Engineering (840 citations), Computer Networks and Communications (478 citations) and Artificial Intelligence (313 citations). Sebastian Trimpe has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Raffaello D’Andrea, Frank Allgöwer, Vincent Berenz, Dominik Baumann, Johannes Köhler, Julian Nubert, Michael Muehlebach, Christian Fiedler, Marco C. Campi and Carsten W. Scherer. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Automatica.
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.