Lukas Brunke
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Angela P. SchoelligSiqi ZhouAdam W. HallJacopo PaneratiMelissa GreeffWolfgang HönigWolfgang HintzeAntonio Loquercio
- Topics
- Advanced Control Systems Optimization (6 papers)Fault Detection and Control Systems (6 papers)Reinforcement Learning in Robotics (3 papers)
- Journals
- The International Journal of Advanced Manufacturing TechnologyIEEE Control SystemsInternational Journal of Robust and Nonlinear Control
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Lukas Brunke
8 papers receiving 425 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Control and Systems Engineering 248
- Artificial Intelligence 182
- Automotive Engineering 63
- Computational Theory and Mathematics 53
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Lukas Brunke
This map shows the geographic impact of Lukas Brunke'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 Lukas Brunke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Brunke more than expected).
Fields of papers citing papers by Lukas Brunke
This network shows the impact of papers produced by Lukas Brunke. 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 Lukas Brunke. The network helps show where Lukas Brunke may publish in the future.
Co-authorship network of co-authors of Lukas Brunke
This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Brunke. A scholar is included among the top collaborators of Lukas Brunke 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 Lukas Brunke. Lukas Brunke 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 28 | |
| 9 | 2 | |
| 10 | Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learningbreakdown → | 388 |
| 11 | 11 | |
| 12 | 0 |
About Lukas Brunke
Lukas Brunke is a scholar working on Software, Control and Systems Engineering and Radiological and Ultrasound Technology, having authored 12 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (6 papers), Fault Detection and Control Systems (6 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Control and Systems Engineering (248 citations), Artificial Intelligence (182 citations) and Automotive Engineering (63 citations). Lukas Brunke has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Angela P. Schoellig, Siqi Zhou, Adam W. Hall, Jacopo Panerati, Melissa Greeff, Wolfgang Hönig, Wolfgang Hintze, Antonio Loquercio and Yanni Zhang. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, IEEE Control Systems and International Journal of Robust and Nonlinear Control.
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.