Zeev Farbman
Impact in
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- Image Enhancement Techniques
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
- Media Technology top 0.5%
- Advanced Image Fusion Techniques
Papers in
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- Image Enhancement Techniques 6
- Advanced Vision and Imaging 6
- Medical Image Segmentation Techniques 5
- Image and Signal Denoising Methods 3
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image Processing Techniques 3
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- Computer Graphics and Visualization Techniques 7
Zeev Farbman
14 papers receiving 2.1k citations
Zeev Farbman's Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 2.0k
- Media Technology 770
- Computer Graphics and Computer-Aided Design 307
- Atomic and Molecular Physics, and Optics 228
- Computational Mechanics 110
Countries citing papers authored by Zeev Farbman
This map shows the geographic impact of Zeev Farbman'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 Zeev Farbman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeev Farbman more than expected).
Fields of papers citing papers by Zeev Farbman
This network shows the impact of papers produced by Zeev Farbman. 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 Zeev Farbman. The network helps show where Zeev Farbman may publish in the future.
Co-authors
The 6 scholars most cited alongside Zeev Farbman, 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 | Edge-preserving decompositions for multi-scale tone and detail manipulation Hit paper breakdown → | 2008 | 1120 |
| 2 | 2006 | 304 | |
| 3 | 2008 | 180 | |
| 4 | 2009 | 171 | |
| 5 | 2010 | 78 | |
| 6 | 2010 | 72 | |
| 7 | 2011 | 45 | |
| 8 | 2006 | 43 | |
| 9 | 2011 | 39 | |
| 10 | 2009 | 29 | |
| 11 | 2011 | 27 | |
| 12 | 2011 | 25 | |
| 13 | 2010 | 14 | |
| 14 | 2011 | 1 | |
| 15 | 2013 | 0 |
About Zeev Farbman
Zeev Farbman is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Geophysics and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Image Enhancement Techniques (6 papers), Advanced Vision and Imaging (6 papers), Medical Image Segmentation Techniques (5 papers), Image and Signal Denoising Methods (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Image Processing Techniques (3 papers) and Seismic Imaging and Inversion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (770 citations), Computer Graphics and Computer-Aided Design (307 citations), Atomic and Molecular Physics, and Optics (228 citations) and Computational Mechanics (110 citations). Zeev Farbman has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Dani Lischinski, Richard Szeliski, Raanan Fattal, Matt Uyttendaele, Daniel Cohen‐Or and Yaron Lipman. Their work appears in journals such as ACM Transactions on Graphics and Computer Graphics Forum.
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.