Chen Sagiv
- Computer Vision and Pattern Recognition top 5%
- Applied Mathematics top 5%
- Media Technology top 10%
- Computational Mechanics
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Nir SochenY.Y. ZeeviPeter MaaßHans‐Georg StarkYehoshua Y. ZeeviGitta KutyniokStephan DahlkeGerd Teschke
- Topics
- Image and Signal Denoising Methods (6 papers)Medical Image Segmentation Techniques (6 papers)Mathematical Analysis and Transform Methods (4 papers)
- Journals
- IEEE Transactions on Image ProcessingUltrasound in Medicine & BiologySIAM Journal on Applied Mathematics
- Partner nations
- IsraelGermanySwitzerland
In The Last Decade
Chen Sagiv
14 papers receiving 280 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 228
- Applied Mathematics 78
- Media Technology 39
- Computational Mechanics 34
- Radiology, Nuclear Medicine and Imaging 30
Countries citing papers authored by Chen Sagiv
This map shows the geographic impact of Chen Sagiv'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 Chen Sagiv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Sagiv more than expected).
Fields of papers citing papers by Chen Sagiv
This network shows the impact of papers produced by Chen Sagiv. 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 Chen Sagiv. The network helps show where Chen Sagiv may publish in the future.
Co-authorship network of co-authors of Chen Sagiv
This figure shows the co-authorship network connecting the top 25 collaborators of Chen Sagiv. A scholar is included among the top collaborators of Chen Sagiv 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 Chen Sagiv. Chen Sagiv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | The Scale-Curvature Connection and its Application to Texture Segmentation | 2 |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 71 | |
| 8 | 2 | |
| 9 | 147 | |
| 10 | The Canonical Coherent States Associated With Quotients of the Ane Weyl-Heisenberg Group | 3 |
| 11 | 10 | |
| 12 | 21 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 1 |
About Chen Sagiv
Chen Sagiv is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Computer Graphics and Computer-Aided Design, having authored 15 papers that have together received 297 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Medical Image Segmentation Techniques (6 papers) and Mathematical Analysis and Transform Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Applied Mathematics (78 citations) and Media Technology (39 citations). Chen Sagiv has collaborated with scholars based in Israel, Germany and Switzerland. Frequent co-authors include Nir Sochen, Y.Y. Zeevi, Peter Maaß, Hans‐Georg Stark, Yehoshua Y. Zeevi, Gitta Kutyniok, Stephan Dahlke, Gerd Teschke, J. Karin and S. Akselrod. Their work appears in journals such as IEEE Transactions on Image Processing, Ultrasound in Medicine & Biology and SIAM Journal on Applied Mathematics.
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.