Bastian Bischoff
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Signal Processing
- Molecular Biology
- Co-authors
- Volker FischerTim GeneweinJan Hendrik MetzenDuy Nguyen-TuongJan PetersAlois KnollFelix StreichertAnne Römer
- Topics
- Advanced Control Systems Optimization (5 papers)Gaussian Processes and Bayesian Inference (4 papers)Control Systems and Identification (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Machine Learning ResearchIEEE Robotics and Automation Letters
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Bastian Bischoff
11 papers receiving 176 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 125
- Computer Vision and Pattern Recognition 43
- Control and Systems Engineering 39
- Signal Processing 26
- Molecular Biology 20
Countries citing papers authored by Bastian Bischoff
This map shows the geographic impact of Bastian Bischoff'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 Bastian Bischoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bastian Bischoff more than expected).
Fields of papers citing papers by Bastian Bischoff
This network shows the impact of papers produced by Bastian Bischoff. 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 Bastian Bischoff. The network helps show where Bastian Bischoff may publish in the future.
Co-authorship network of co-authors of Bastian Bischoff
This figure shows the co-authorship network connecting the top 25 collaborators of Bastian Bischoff. A scholar is included among the top collaborators of Bastian Bischoff 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 Bastian Bischoff. Bastian Bischoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | Stability of Controllers for Gaussian Process Dynamics | 28 |
| 5 | 88 | |
| 6 | Stability of controllers for Gaussian process forward models | 15 |
| 7 | 11 | |
| 8 | Hierarchical Reinforcement Learning for Robot Navigation | 8 |
| 9 | Learning Control Under Uncertainty: A Probabilistic Value-Iteration Approach | 2 |
| 10 | 15 | |
| 11 | 2 |
About Bastian Bischoff
Bastian Bischoff is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 184 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Artificial Intelligence (125 citations), Signal Processing (26 citations) and Computer Vision and Pattern Recognition (43 citations). Bastian Bischoff has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Volker Fischer, Tim Genewein, Jan Hendrik Metzen, Duy Nguyen-Tuong, Jan Peters, Alois Knoll, Felix Streichert, Anne Römer, Torsten Koller and Herke van Hoof. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and IEEE Robotics and Automation Letters.
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.