S. Bohrer
Impact in
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- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Image and Object Detection Techniques
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in ⓘ
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- Advanced Vision and Imaging 5
- Video Surveillance and Tracking Methods 1
- Image and Object Detection Techniques 1
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- Visual perception and processing mechanisms 2
- Co-authors
- HH Bülthoff (3 shared papers)James J. Little (1 shared paper)Hanspeter A. Mallot (1 shared paper)W. von Seelen (2 shared papers)Thomas Zielke (1 shared paper)Stefan Gehlen (1 shared paper)G. Hauske (1 shared paper)Sven Fuhrmann (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)Biological Cybernetics (1 paper)MPG.PuRe (Max Planck Society) (2 papers)European Conference on Artificial Intelligence (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
S. Bohrer
8 papers receiving 283 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 249
- Automotive Engineering 114
- Aerospace Engineering 78
- Environmental Engineering 35
- Media Technology 19
Countries citing papers authored by S. Bohrer
This map shows the geographic impact of S. Bohrer'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 S. Bohrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Bohrer more than expected).
Fields of papers citing papers by S. Bohrer
This network shows the impact of papers produced by S. Bohrer. 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 S. Bohrer. The network helps show where S. Bohrer may publish in the future.
Co-authors
The 10 scholars most cited alongside S. Bohrer, 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 | 1991 | 267 | |
| 2 | Visual obstacle detection by a geometrically simplified optical flow approach | 1992 | 9 |
| 3 | 2002 | 9 | |
| 4 | 1995 | 7 | |
| 5 | Motion Detection by Correlation and Voting | 1990 | 3 |
| 6 | 1990 | 3 | |
| 7 | A Learning Control Scheme with Neuron-Like Associative Memories for the Control of Biotechnological Processes | 1988 | 2 |
| 8 | Adaptation of a parallel correlation-based optical flow scheme | 1990 | 1 |
About S. Bohrer
S. Bohrer is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Automotive Engineering, Control and Systems Engineering and Media Technology, having authored 8 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Visual perception and processing mechanisms (2 papers), Optical Coherence Tomography Applications (1 paper), Video Surveillance and Tracking Methods (1 paper), Robotics and Sensor-Based Localization (1 paper), Image and Object Detection Techniques (1 paper), Advanced Control Systems Optimization (1 paper) and Industrial Technology and Control Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Automotive Engineering (114 citations), Aerospace Engineering (78 citations), Environmental Engineering (35 citations) and Media Technology (19 citations). S. Bohrer has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include HH Bülthoff, James J. Little, Hanspeter A. Mallot, W. von Seelen, Thomas Zielke, Stefan Gehlen, G. Hauske, Sven Fuhrmann, George D. Hartman and Michael Dose. Their work appears in journals such as International Journal of Computer Vision, Biological Cybernetics, MPG.PuRe (Max Planck Society), European Conference on Artificial Intelligence and TUbilio (Technical University of Darmstadt).
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.