Markus Kuderer
Impact in
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
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- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
Papers in
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- Robotic Path Planning Algorithms 3
- Human Pose and Action Recognition 2
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- Advanced Control Systems Optimization 1
- 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)Johannes Meyer (1 shared paper)Gian Diego Tipaldi (1 shared paper)Felix Endres (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)Advances in radio science (1 paper)The MIT Press eBooks (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Markus Kuderer
13 papers receiving 709 citations
Peers
Comparison fields: 5 of 66
- Automotive Engineering 314
- Computer Vision and Pattern Recognition 301
- Control and Systems Engineering 258
- Safety, Risk, Reliability and Quality 83
- Ocean Engineering 137
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 18 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 | 321 | |
| 2 | 2012 | 152 | |
| 3 | 2014 | 56 | |
| 4 | 2014 | 47 | |
| 5 | 2013 | 38 | |
| 6 | 2013 | 34 | |
| 7 | 2014 | 31 | |
| 8 | 2014 | 31 | |
| 9 | 2014 | 13 | |
| 10 | 2004 | 7 | |
| 11 | 2007 | 3 | |
| 12 | 2006 | 2 | |
| 13 | 2010 | 2 |
About Markus Kuderer
Markus Kuderer is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 13 papers that have together received 737 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Human Pose and Action Recognition (2 papers), Evacuation and Crowd Dynamics (2 papers), Sensor Technology and Measurement Systems (2 papers), Analog and Mixed-Signal Circuit Design (2 papers), Advanced Control Systems Optimization (1 paper) and Underwater Vehicles and Communication Systems (1 paper). The work is most often cited by research in Automotive Engineering (314 citations), Computer Vision and Pattern Recognition (301 citations), Control and Systems Engineering (258 citations), Safety, Risk, Reliability and Quality (83 citations) and Ocean Engineering (137 citations). Markus Kuderer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Wolfram Burgard, Shilpa Gulati, Henrik Kretzschmar, Christoph Sprunk, Cyrill Stachniss, Johannes Meyer, Gian Diego Tipaldi, Felix Endres, Jörg Müller and Yiannos Manoli. Their work appears in journals such as Lecture notes in computer science, Advances in radio science, The MIT Press eBooks 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.