Markus Kuderer
Impact in
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
-
- Robotic Path Planning Algorithms
Papers in
-
- Autonomous Vehicle Technology and Safety 3
-
- Robotic Path Planning Algorithms 5
- Co-authors
- Wolfram Burgard (9 shared papers)Shilpa Gulati (1 shared paper)Henrik Kretzschmar (5 shared papers)Christoph Sprunk (3 shared papers)Cyrill Stachniss (1 shared paper)Gian Diego Tipaldi (1 shared paper)Felix Endres (1 shared paper)Johannes Meyer (1 shared paper)
- Journals
- Advances in radio science (1 paper)Lecture notes in computer science (1 paper)Lirias (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (5 papers)Repository KITopen (Karlsruhe Institute of Technology) (1 paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Markus Kuderer
14 papers receiving 793 citations
Peers
Comparison fields: 5 of 45
- Automotive Engineering 242
- Computer Vision and Pattern Recognition 230
- Ocean Engineering 94
- Social Psychology 140
- Control and Systems Engineering 154
Countries citing papers authored by Markus Kuderer
This map shows the geographic impact of Markus Kuderer'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 Markus Kuderer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kuderer more than expected).
Fields of papers citing papers by Markus Kuderer
This network shows the impact of papers produced by Markus Kuderer. 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 Markus Kuderer. The network helps show where Markus Kuderer may publish in the future.
Co-authors
The 16 scholars most cited alongside Markus Kuderer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 349 | |
| 2 | 2012 | 176 | |
| 3 | 2014 | 63 | |
| 4 | 2014 | 53 | |
| 5 | 2013 | 40 | |
| 6 | 2013 | 38 | |
| 7 | 2014 | 33 | |
| 8 | 2014 | 31 | |
| 9 | 2014 | 13 | |
| 10 | 2004 | 6 | |
| 11 | Robotic ADaptation to Humans Adapting to Robots: Overview of the FP7 project RADHAR | 2012 | 4 |
| 12 | 2007 | 3 | |
| 13 | 2006 | 2 | |
| 14 | 2010 | 2 |
About Markus Kuderer
Markus Kuderer is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 14 papers that have together received 813 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Autonomous Vehicle Technology and Safety (3 papers), Analog and Mixed-Signal Circuit Design (3 papers), Reinforcement Learning in Robotics (3 papers), Evacuation and Crowd Dynamics (3 papers), Social Robot Interaction and HRI (2 papers), Human Motion and Animation (2 papers) and Teleoperation and Haptic Systems (1 paper). The work is most often cited by research in Automotive Engineering (242 citations), Computer Vision and Pattern Recognition (230 citations), Ocean Engineering (94 citations), Social Psychology (140 citations) and Control and Systems Engineering (154 citations). Markus Kuderer has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Wolfram Burgard, Shilpa Gulati, Henrik Kretzschmar, Christoph Sprunk, Cyrill Stachniss, Gian Diego Tipaldi, Felix Endres, Johannes Meyer, Maurits Ortmanns and Friedel Gerfers. Their work appears in journals such as Advances in radio science, Lecture notes in computer science, Lirias, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and Repository KITopen (Karlsruhe Institute of Technology).
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.