Ralf R. Kohler
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- Image Retrieval and Classification Techniques 3
- Medical Image Segmentation Techniques 3
- Advanced Image and Video Retrieval Techniques 1
- Video Analysis and Summarization 1
- Media Technology top 5%
- Remote-Sensing Image Classification 1
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- Neural Networks and Applications 1
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- Music and Audio Processing 1
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- Color Science and Applications 1
- Co-authors
- Allen R. HansonEdward M. RisemanJ. Ross BeveridgeJörg WaitelonisJohn PragerHarald SackPatrick Ndjiki-NyaAndré Bergholz
- Journals
- Multimedia Tools and Applications (1 paper)International Journal of Computer Vision (1 paper)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Ralf R. Kohler
5 papers receiving 277 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 219
- Media Technology 63
- Biophysics 15
- Industrial and Manufacturing Engineering 20
- Artificial Intelligence 40
Countries citing papers authored by Ralf R. Kohler
This map shows the geographic impact of Ralf R. Kohler'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 Ralf R. Kohler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf R. Kohler more than expected).
Fields of papers citing papers by Ralf R. Kohler
This network shows the impact of papers produced by Ralf R. Kohler. 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 Ralf R. Kohler. The network helps show where Ralf R. Kohler may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Ralf R. Kohler, 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 | 2012 | 12 | |
| 2 | 1989 | 109 | |
| 3 | 1989 | 0 | |
| 4 | Integrating non-semantic knowledge into image segmentation processes | 1983 | 6 |
| 5 | 1981 | 178 | |
| 6 | Segmentation processes in the visions system | 1977 | 5 |
About Ralf R. Kohler
Ralf R. Kohler is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Aerospace Engineering and Atomic and Molecular Physics, and Optics, having authored 6 papers that have together received 310 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), Medical Image Segmentation Techniques (3 papers), Advanced Image and Video Retrieval Techniques (1 paper), Remote-Sensing Image Classification (1 paper), Neural Networks and Applications (1 paper), Music and Audio Processing (1 paper), Video Analysis and Summarization (1 paper) and Color Science and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Media Technology (63 citations), Biophysics (15 citations), Industrial and Manufacturing Engineering (20 citations) and Artificial Intelligence (40 citations). Ralf R. Kohler has collaborated with scholars based in United States and Germany. Frequent co-authors include Allen R. Hanson, Edward M. Riseman, J. Ross Beveridge, Jörg Waitelonis, John Prager, Harald Sack, Patrick Ndjiki-Nya, André Bergholz, Christian Fey and Thomas D. Williams. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Computer Vision, International Joint Conference on Artificial Intelligence, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Computer Graphics and Image Processing.
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.