Kai Briechle
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 5
- Neural Networks and Applications 1
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- Control Systems and Identification 3
- Co-authors
- Uwe D. Hanebeck (8 shared papers)Andreas Rauh (3 shared papers)Joachim Horn (1 shared paper)Oliver Sawodny (1 shared paper)Harald Aschemann (1 shared paper)Joachim Bamberger (1 shared paper)E. Hofer (1 shared paper)Clemens Hoffmann (1 shared paper)
- Journals
- IEEE Transactions on Robotics and Automation (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (3 papers)
- Partner nations
- Germany
In The Last Decade
Kai Briechle
9 papers receiving 578 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 266
- Aerospace Engineering 155
- Artificial Intelligence 190
- Media Technology 45
- Control and Systems Engineering 100
Countries citing papers authored by Kai Briechle
This map shows the geographic impact of Kai Briechle'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 Kai Briechle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Briechle more than expected).
Fields of papers citing papers by Kai Briechle
This network shows the impact of papers produced by Kai Briechle. 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 Kai Briechle. The network helps show where Kai Briechle may publish in the future.
Co-authors
The 8 scholars most cited alongside Kai Briechle, 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 | 2001 | 378 | |
| 2 | 2003 | 91 | |
| 3 | 2004 | 53 | |
| 4 | 2002 | 52 | |
| 5 | 2002 | 22 | |
| 6 | 2009 | 7 | |
| 7 | 2003 | 4 | |
| 8 | 1999 | 3 | |
| 9 | 2003 | 3 |
About Kai Briechle
Kai Briechle is a scholar working on Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering, Signal Processing and Mechanical Engineering, having authored 9 papers that have together received 613 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Control Systems and Identification (3 papers), Robotics and Sensor-Based Localization (2 papers), Speech and Audio Processing (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Hydraulic and Pneumatic Systems (1 paper), Neural Networks and Applications (1 paper) and Advanced Measurement and Metrology Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Aerospace Engineering (155 citations), Artificial Intelligence (190 citations), Media Technology (45 citations) and Control and Systems Engineering (100 citations). Kai Briechle has collaborated with scholars based in Germany. Frequent co-authors include Uwe D. Hanebeck, Andreas Rauh, Joachim Horn, Oliver Sawodny, Harald Aschemann, Joachim Bamberger, E. Hofer and Clemens Hoffmann. Their work appears in journals such as IEEE Transactions on Robotics and Automation, Repository KITopen (Karlsruhe Institute of Technology) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.