Jan Knopp
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 2
- Image Processing and 3D Reconstruction 1
- Advanced Vision and Imaging 1
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Luc Van Gool (4 shared papers)Hayko Riemenschneider (1 shared paper)Anđelo Martinović (1 shared paper)Mukta Prasad (3 shared papers)Michal Havlena (1 shared paper)Akihiko Torii (1 shared paper)Tomáš Pajdla (1 shared paper)Mohit Prasad (1 shared paper)
- Journals
- 2009 IEEE Conference on Computer Vision and Pattern Recognition (1 paper)Lirias (KU Leuven) (5 papers)
- Partner nations
- BelgiumSwitzerlandCzechia
In The Last Decade
Jan Knopp
6 papers receiving 163 citations
Peers
Comparison fields: 5 of 26
- Geology 80
- Computer Vision and Pattern Recognition 112
- Environmental Engineering 64
- Space and Planetary Science 4
- Aerospace Engineering 75
Countries citing papers authored by Jan Knopp
This map shows the geographic impact of Jan Knopp'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 Jan Knopp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Knopp more than expected).
Fields of papers citing papers by Jan Knopp
This network shows the impact of papers produced by Jan Knopp. 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 Jan Knopp. The network helps show where Jan Knopp may publish in the future.
Co-authors
The 9 scholars most cited alongside Jan Knopp, 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 | 2015 | 87 | |
| 2 | 2009 | 44 | |
| 3 | 2010 | 20 | |
| 4 | 2011 | 16 | |
| 5 | 2011 | 3 | |
| 6 | 2013 | 3 |
About Jan Knopp
Jan Knopp is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Media Technology and Environmental Engineering, having authored 6 papers that have together received 173 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (3 papers), Image Retrieval and Classification Techniques (2 papers), Image Processing and 3D Reconstruction (1 paper), 3D Shape Modeling and Analysis (1 paper), Image Processing Techniques and Applications (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Geology (80 citations), Computer Vision and Pattern Recognition (112 citations), Environmental Engineering (64 citations), Space and Planetary Science (4 citations) and Aerospace Engineering (75 citations). Jan Knopp has collaborated with scholars based in Belgium, Switzerland and Czechia. Frequent co-authors include Luc Van Gool, Hayko Riemenschneider, Anđelo Martinović, Mukta Prasad, Michal Havlena, Akihiko Torii, Tomáš Pajdla, Mohit Prasad and Luc Van Gool. Their work appears in journals such as 2009 IEEE Conference on Computer Vision and Pattern Recognition and Lirias (KU Leuven).
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.