Matthias Kerzel
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Cognitive Neuroscience
- Social Psychology
- Co-authors
- Stefan WermterErik StrahlManfred EppeStefan HeinrichCornelius WeberMartin V. ButzChu Kiong LooSven Magg
- Topics
- Robot Manipulation and Learning (13 papers)Reinforcement Learning in Robotics (8 papers)Human Pose and Action Recognition (7 papers)
- Partner nations
- GermanyChinaNetherlands
In The Last Decade
Matthias Kerzel
42 papers receiving 370 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 149
- Computer Vision and Pattern Recognition 101
- Control and Systems Engineering 91
- Cognitive Neuroscience 88
- Social Psychology 68
Countries citing papers authored by Matthias Kerzel
This map shows the geographic impact of Matthias Kerzel'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 Matthias Kerzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Kerzel more than expected).
Fields of papers citing papers by Matthias Kerzel
This network shows the impact of papers produced by Matthias Kerzel. 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 Matthias Kerzel. The network helps show where Matthias Kerzel may publish in the future.
Co-authorship network of co-authors of Matthias Kerzel
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Kerzel. A scholar is included among the top collaborators of Matthias Kerzel 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 Matthias Kerzel. Matthias Kerzel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | Explainable Goal-Driven Agents and Robots -- A Comprehensive Review and New Framework | 7 |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. | 1 |
| 18 | 47 | |
| 19 | 3 | |
| 20 | Verbal assistance in tactile-map explorations: a case for visual representations and reasoning | 9 |
About Matthias Kerzel
Matthias Kerzel is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 43 papers that have together received 380 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (8 papers) and Human Pose and Action Recognition (7 papers). The work is most often cited by research in Health Informatics (8 citations), Computer Vision and Pattern Recognition (101 citations) and Artificial Intelligence (149 citations). Matthias Kerzel has collaborated with scholars based in Germany, China and Netherlands. Frequent co-authors include Stefan Wermter, Erik Strahl, Manfred Eppe, Stefan Heinrich, Cornelius Weber, Martin V. Butz, Chu Kiong Loo, Sven Magg, Nicolás Navarro-Guerrero and Pablo Barros. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Neurocomputing.
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.