Liron Yatziv
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 5%
- Media Technology top 5%
- Computational Mechanics
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Guillermo SapiroAlberto BartesaghiQian YuYair Movshovitz-AttiasMartin C. StumpeVinay ShetSaurabh DattaAli Khamene
- Topics
- Medical Image Segmentation Techniques (3 papers)Medical Imaging Techniques and Applications (2 papers)Advanced Vision and Imaging (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- Journal of Computational PhysicsIEEE Transactions on Image ProcessingLecture notes in computer science
- Partner nations
- United StatesGermany
In The Last Decade
Liron Yatziv
9 papers receiving 593 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 502
- Computer Graphics and Computer-Aided Design 78
- Media Technology 72
- Computational Mechanics 57
- Radiology, Nuclear Medicine and Imaging 50
Countries citing papers authored by Liron Yatziv
This map shows the geographic impact of Liron Yatziv'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 Liron Yatziv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liron Yatziv more than expected).
Fields of papers citing papers by Liron Yatziv
This network shows the impact of papers produced by Liron Yatziv. 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 Liron Yatziv. The network helps show where Liron Yatziv may publish in the future.
Co-authorship network of co-authors of Liron Yatziv
This figure shows the co-authorship network connecting the top 25 collaborators of Liron Yatziv. A scholar is included among the top collaborators of Liron Yatziv 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 Liron Yatziv. Liron Yatziv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 25 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 22 | |
| 6 | 22 | |
| 7 | Fast image and video colorization using chrominance blendingbreakdown → | 357 |
| 8 | 159 | |
| 9 | 6 |
About Liron Yatziv
Liron Yatziv is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 9 papers that have together received 635 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Medical Imaging Techniques and Applications (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (502 citations), Computer Graphics and Computer-Aided Design (78 citations) and Media Technology (72 citations). Liron Yatziv has collaborated with scholars based in United States and Germany. Frequent co-authors include Guillermo Sapiro, Alberto Bartesaghi, Qian Yu, Yair Movshovitz-Attias, Martin C. Stumpe, Vinay Shet, Saurabh Datta, Ali Khamene, Chenyang Xu and Hari Sundar. Their work appears in journals such as Journal of Computational Physics, IEEE Transactions on Image Processing and Lecture notes in computer science.
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.