Stefan Munder
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Video Surveillance and Tracking Methods 6
- Advanced Neural Network Applications 4
- Face and Expression Recognition 1
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Dariu M. Gavrila (4 shared papers)J. Giebel (1 shared paper)Christoph Schnörr (1 shared paper)Gregory Baratoff (2 shared papers)Joachim Denzler (2 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Stefan Munder
6 papers receiving 1.1k citations
Stefan Munder's Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 1.0k
- Automotive Engineering 229
- Safety, Risk, Reliability and Quality 127
- Media Technology 77
- Artificial Intelligence 288
Countries citing papers authored by Stefan Munder
This map shows the geographic impact of Stefan Munder'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 Stefan Munder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Munder more than expected).
Fields of papers citing papers by Stefan Munder
This network shows the impact of papers produced by Stefan Munder. 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 Stefan Munder. The network helps show where Stefan Munder may publish in the future.
Co-authors
The 5 scholars most cited alongside Stefan Munder, 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 | An Experimental Study on Pedestrian Classification Hit paper breakdown → | 2006 | 462 |
| 2 | Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle Hit paper breakdown → | 2006 | 419 |
| 3 | 2004 | 168 | |
| 4 | 2008 | 82 | |
| 5 | 2008 | 10 | |
| 6 | 2009 | 1 |
About Stefan Munder
Stefan Munder is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Ocean Engineering and Media Technology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Neural Network Applications (4 papers), Anomaly Detection Techniques and Applications (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Automated Road and Building Extraction (1 paper), Remote-Sensing Image Classification (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Automotive Engineering (229 citations), Safety, Risk, Reliability and Quality (127 citations), Media Technology (77 citations) and Artificial Intelligence (288 citations). Stefan Munder has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Dariu M. Gavrila, J. Giebel, Christoph Schnörr, Gregory Baratoff and Joachim Denzler. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems and Lecture notes in computer science.
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.