Kai Krajsek
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Computational Mathematics
- Computational Mechanics
- Artificial Intelligence
- Co-authors
- Hanno ScharrRudolf MesterMarion I. MenzelTobias PreußerRobert M. KirbyAchim BasermannMarkus GötzMichael Felsberg
- Topics
- Advanced Vision and Imaging (5 papers)MRI in cancer diagnosis (3 papers)Advanced Image Processing Techniques (3 papers)
- Cited by
- Computational MathematicsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- International Journal of Computer VisionRepository KITopen (Karlsruhe Institute of Technology)KTH Publication Database DiVA (KTH Royal Institute of Technology)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Kai Krajsek
10 papers receiving 57 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 39
- Radiology, Nuclear Medicine and Imaging 17
- Computational Mathematics 5
- Computational Mechanics 5
- Artificial Intelligence 5
Countries citing papers authored by Kai Krajsek
This map shows the geographic impact of Kai Krajsek'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 Krajsek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Krajsek more than expected).
Fields of papers citing papers by Kai Krajsek
This network shows the impact of papers produced by Kai Krajsek. 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 Krajsek. The network helps show where Kai Krajsek may publish in the future.
Co-authorship network of co-authors of Kai Krajsek
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Krajsek. A scholar is included among the top collaborators of Kai Krajsek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Krajsek. Kai Krajsek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | Steerable lters in motion estimation | 1 |
About Kai Krajsek
Kai Krajsek is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Media Technology, having authored 12 papers that have together received 60 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), MRI in cancer diagnosis (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (39 citations) and Radiology, Nuclear Medicine and Imaging (17 citations). Kai Krajsek has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Hanno Scharr, Rudolf Mester, Marion I. Menzel, Tobias Preußer, Robert M. Kirby, Achim Basermann, Markus Götz, Michael Felsberg, Achim Streit and Christian Heinemann. Their work appears in journals such as International Journal of Computer Vision, Repository KITopen (Karlsruhe Institute of Technology) and KTH Publication Database DiVA (KTH Royal Institute of Technology).
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.