Karsten Behrendt
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Autonomous Vehicle Technology and Safety 7
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- Advanced Neural Network Applications 6
- Video Surveillance and Tracking Methods 4
- Advanced Vision and Imaging 1
- Co-authors
- Roland Siegwart (1 shared paper)Juan Nieto (1 shared paper)Igor Gilitschenski (1 shared paper)Holger Mielenz (1 shared paper)Jonas Witt (1 shared paper)Stéphanie Lefèvre (1 shared paper)Abhishek Sharma (1 shared paper)Cristina Palmero (1 shared paper)
- Journals
- Sensors (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Karsten Behrendt
8 papers receiving 362 citations
Peers
Comparison fields: 5 of 48
- Automotive Engineering 213
- Computer Vision and Pattern Recognition 265
- Safety, Risk, Reliability and Quality 51
- Media Technology 44
- Building and Construction 50
Countries citing papers authored by Karsten Behrendt
This map shows the geographic impact of Karsten Behrendt'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 Karsten Behrendt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Behrendt more than expected).
Fields of papers citing papers by Karsten Behrendt
This network shows the impact of papers produced by Karsten Behrendt. 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 Karsten Behrendt. The network helps show where Karsten Behrendt may publish in the future.
Co-authors
The 10 scholars most cited alongside Karsten Behrendt, 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 | 2017 | 183 | |
| 2 | 2016 | 73 | |
| 3 | 2019 | 71 | |
| 4 | 2019 | 22 | |
| 5 | 2017 | 14 | |
| 6 | 2021 | 12 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 1 |
About Karsten Behrendt
Karsten Behrendt is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Ophthalmology, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 8 papers that have together received 383 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (4 papers), Gaze Tracking and Assistive Technology (1 paper), Traffic Prediction and Management Techniques (1 paper), Retinal and Optic Conditions (1 paper), Advanced Vision and Imaging (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Automotive Engineering (213 citations), Computer Vision and Pattern Recognition (265 citations), Safety, Risk, Reliability and Quality (51 citations), Media Technology (44 citations) and Building and Construction (50 citations). Karsten Behrendt has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Roland Siegwart, Juan Nieto, Igor Gilitschenski, Holger Mielenz, Jonas Witt, Stéphanie Lefèvre, Abhishek Sharma, Cristina Palmero, Oleg V. Komogortsev and Sachin S. Talathi. Their work appears in journals such as Sensors.
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.