Eli Shechtman
Impact in
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- Computer Graphics and Visualization Techniques
- Computer Vision and Pattern Recognition top 0.01%
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Human Pose and Action Recognition
- Face recognition and analysis
Papers in
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- Advanced Vision and Imaging 78
- Generative Adversarial Networks and Image Synthesis 70
- Advanced Image and Video Retrieval Techniques 42
- Advanced Image Processing Techniques 36
- Image Enhancement Techniques 21
- Face recognition and analysis 18
- Video Analysis and Summarization 16
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- Computer Graphics and Visualization Techniques 44
- Co-authors
- Alexei A. Efros (10 shared papers)Oliver Wang (10 shared papers)Richard Zhang (19 shared papers)Phillip Isola (3 shared papers)Dan B Goldman (23 shared papers)Michal Irani (6 shared papers)Connelly Barnes (26 shared papers)Mohsen Irani (6 shared papers)
- Journals
- ACM Transactions on Graphics (29 papers)Computer Graphics Forum (7 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (6 papers)Lecture notes in computer science (27 papers)Communications of the ACM (2 papers)
- Partner nations
- United StatesIsraelCzechia
In The Last Decade
Eli Shechtman
157 papers receiving 27.4k citations
Eli Shechtman's Hit Papers
Peers
Comparison fields: 5 of 178
- Computer Graphics and Computer-Aided Design 4.2k
- Computer Vision and Pattern Recognition 24.6k
- Media Technology 3.0k
- Human-Computer Interaction 714
- Computational Mechanics 2.4k
Countries citing papers authored by Eli Shechtman
This map shows the geographic impact of Eli Shechtman'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 Eli Shechtman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Shechtman more than expected).
Fields of papers citing papers by Eli Shechtman
This network shows the impact of papers produced by Eli Shechtman. 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 Eli Shechtman. The network helps show where Eli Shechtman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli Shechtman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Hit paper breakdown → | 2018 | 8966 |
| 2 | PatchMatch Hit paper breakdown → | 2009 | 2235 |
| 3 | Actions as space-time shapes Hit paper breakdown → | 2005 | 1402 |
| 4 | Actions as Space-Time Shapes Hit paper breakdown → | 2007 | 1174 |
| 5 | In defense of Nearest-Neighbor based image classification Hit paper breakdown → | 2008 | 903 |
| 6 | Matching Local Self-Similarities across Images and Videos Hit paper breakdown → | 2007 | 891 |
| 7 | Generative Visual Manipulation on the Natural Image Manifold Hit paper breakdown → | 2016 | 763 |
| 8 | High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis Hit paper breakdown → | 2017 | 654 |
| 9 | Space-Time Completion of Video Hit paper breakdown → | 2007 | 562 |
| 10 | Summarizing visual data using bidirectional similarity Hit paper breakdown → | 2008 | 501 |
| 11 | Deep Photo Style Transfer Hit paper breakdown → | 2017 | 488 |
| 12 | The Generalized PatchMatch Correspondence Algorithm Hit paper breakdown → | 2010 | 440 |
| 13 | Image melding Hit paper breakdown → | 2012 | 435 |
| 14 | Multi-Concept Customization of Text-to-Image Diffusion Hit paper breakdown → | 2023 | 418 |
| 15 | 2017 | 346 | |
| 16 | Robust patch-based hdr reconstruction of dynamic scenes Hit paper breakdown → | 2012 | 339 |
| 17 | 2018 | 305 | |
| 18 | 2009 | 300 | |
| 19 | 2004 | 276 | |
| 20 | Scaling up GANs for Text-to-Image Synthesis Hit paper breakdown → | 2023 | 276 |
About Eli Shechtman
Eli Shechtman is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Signal Processing and Computational Mechanics, having authored 162 papers that have together received 28.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (78 papers), Generative Adversarial Networks and Image Synthesis (70 papers), Computer Graphics and Visualization Techniques (44 papers), Advanced Image and Video Retrieval Techniques (42 papers), Advanced Image Processing Techniques (36 papers), Image Enhancement Techniques (21 papers), Face recognition and analysis (18 papers) and Video Analysis and Summarization (16 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (4.2k citations), Computer Vision and Pattern Recognition (24.6k citations), Media Technology (3.0k citations), Human-Computer Interaction (714 citations) and Computational Mechanics (2.4k citations). Eli Shechtman has collaborated with scholars based in United States, Israel and Czechia. Frequent co-authors include Alexei A. Efros, Oliver Wang, Richard Zhang, Phillip Isola, Dan B Goldman, Michal Irani, Connelly Barnes, Mohsen Irani, Adam Finkelstein and Miri Blank. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science and Communications of the ACM.
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.