Maximilian Karl
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Co-authors
- Patrick van der SmagtNutan ChenHerke van HoofJan PetersAlois KnollM. EderF. FrankLars Greve
- Topics
- Robot Manipulation and Learning (4 papers)Prosthetics and Rehabilitation Robotics (3 papers)Soft Robotics and Applications (3 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Computer Methods in Applied Mechanics and EngineeringIEEE Robotics and Automation LettersmediaTUM (Technical University of Munich)
- Partner nations
- GermanyUnited States
In The Last Decade
Maximilian Karl
8 papers receiving 121 citations
Peers
Comparison fields: 5 of 29
- Control and Systems Engineering 69
- Artificial Intelligence 54
- Biomedical Engineering 35
- Computer Vision and Pattern Recognition 33
- Cognitive Neuroscience 20
Countries citing papers authored by Maximilian Karl
This map shows the geographic impact of Maximilian Karl'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 Maximilian Karl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Karl more than expected).
Fields of papers citing papers by Maximilian Karl
This network shows the impact of papers produced by Maximilian Karl. 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 Maximilian Karl. The network helps show where Maximilian Karl may publish in the future.
Co-authorship network of co-authors of Maximilian Karl
This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Karl. A scholar is included among the top collaborators of Maximilian Karl 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 Maximilian Karl. Maximilian Karl 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 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 28 | |
| 6 | 80 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 3 |
About Maximilian Karl
Maximilian Karl is a scholar working on Control and Systems Engineering, Biomedical Engineering and Safety, Risk, Reliability and Quality, having authored 9 papers that have together received 125 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Soft Robotics and Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (69 citations), Artificial Intelligence (54 citations) and Computer Vision and Pattern Recognition (33 citations). Maximilian Karl has collaborated with scholars based in Germany and United States. Frequent co-authors include Patrick van der Smagt, Nutan Chen, Herke van Hoof, Jan Peters, Alois Knoll, M. Eder, F. Frank, Lars Greve, Rainer Burgkart and David Broneske. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Robotics and Automation Letters and mediaTUM (Technical University of Munich).
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.