Karl Krissian
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Media Technology top 1%
- Biomedical Engineering
- Computational Mechanics top 5%
- Co-authors
- Kirby G. VosburghCarl‐Fredrik WestinSantiago Aja‐FernándezRon KikinisNicholas AyacheGrégoire MalandainRégis VaillantYves Trousset
- Topics
- Medical Image Segmentation Techniques (22 papers)Cerebrovascular and Carotid Artery Diseases (6 papers)Image and Signal Denoising Methods (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRadiology, Nuclear Medicine and Imaging
- Partner nations
- SpainUnited StatesTunisia
In The Last Decade
Karl Krissian
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 991
- Radiology, Nuclear Medicine and Imaging 367
- Media Technology 267
- Biomedical Engineering 179
- Computational Mechanics 170
Countries citing papers authored by Karl Krissian
This map shows the geographic impact of Karl Krissian'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 Karl Krissian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Krissian more than expected).
Fields of papers citing papers by Karl Krissian
This network shows the impact of papers produced by Karl Krissian. 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 Karl Krissian. The network helps show where Karl Krissian may publish in the future.
Co-authorship network of co-authors of Karl Krissian
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Krissian. A scholar is included among the top collaborators of Karl Krissian 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 Karl Krissian. Karl Krissian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 7 | |
| 5 | 186 | |
| 6 | 2 | |
| 7 | 46 | |
| 8 | 167 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 278 | |
| 12 | 12 | |
| 13 | Smooth vasculature reconstruction with circular and elliptic cross sections. | 6 |
| 14 | 23 | |
| 15 | 51 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 5 | |
| 20 | Model Based Multiscale Detection and Reconstruction of 3D Vessels | 19 |
About Karl Krissian
Karl Krissian is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computer Graphics and Computer-Aided Design, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (22 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (991 citations), Media Technology (267 citations) and Radiology, Nuclear Medicine and Imaging (367 citations). Karl Krissian has collaborated with scholars based in Spain, United States and Tunisia. Frequent co-authors include Kirby G. Vosburgh, Carl‐Fredrik Westin, Santiago Aja‐Fernández, Ron Kikinis, Nicholas Ayache, Grégoire Malandain, Régis Vaillant, Yves Trousset, Agustín Trujillo and Miguel Alemán-Flores. Their work appears in journals such as NeuroImage, IEEE Transactions on Image Processing and Pattern Recognition Letters.
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.