Roy Or-El
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Human Pose and Action Recognition
Papers in
-
- Advanced Vision and Imaging 4
- Optical measurement and interference techniques 2
- Video Surveillance and Tracking Methods 2
- Face and Expression Recognition 1
- Face recognition and analysis 1
-
- Computer Graphics and Visualization Techniques 3
- Co-authors
- Ron Kimmel (3 shared papers)Matan Sela (1 shared paper)Elad Richardson (1 shared paper)Xuan Luo (1 shared paper)Eli Shechtman (1 shared paper)Jeong Joon Park (1 shared paper)Ira Kemelmacher-Shlizerman (1 shared paper)Alfred M. Bruckstein⋆ (2 shared papers)
- Journals
- arXiv (Cornell University) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Roy Or-El
5 papers receiving 478 citations
Roy Or-El's Hit Papers
Peers
Comparison fields: 5 of 41
- Computer Graphics and Computer-Aided Design 151
- Computer Vision and Pattern Recognition 466
- Computational Mechanics 212
- Geology 26
- Signal Processing 40
Countries citing papers authored by Roy Or-El
This map shows the geographic impact of Roy Or-El'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 Roy Or-El with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Or-El more than expected).
Fields of papers citing papers by Roy Or-El
This network shows the impact of papers produced by Roy Or-El. 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 Roy Or-El. The network helps show where Roy Or-El may publish in the future.
Co-authors
The 10 scholars most cited alongside Roy Or-El, 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 | 2017 | 225 | |
| 2 | StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation Hit paper breakdown → | 2022 | 192 |
| 3 | 2015 | 65 | |
| 4 | 2016 | 13 | |
| 5 | Autonomous robot control with DSP and video camera using MATLAB State-Flow chart | 2010 | 1 |
About Roy Or-El
Roy Or-El is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Aerospace Engineering and Infectious Diseases, having authored 5 papers that have together received 496 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Computer Graphics and Visualization Techniques (3 papers), Optical measurement and interference techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Face and Expression Recognition (1 paper), Face recognition and analysis (1 paper), 3D Shape Modeling and Analysis (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (151 citations), Computer Vision and Pattern Recognition (466 citations), Computational Mechanics (212 citations), Geology (26 citations) and Signal Processing (40 citations). Roy Or-El has collaborated with scholars based in Israel and United States. Frequent co-authors include Ron Kimmel, Matan Sela, Elad Richardson, Xuan Luo, Eli Shechtman, Jeong Joon Park, Ira Kemelmacher-Shlizerman, Alfred M. Bruckstein⋆, Guy Rosman and Arie Nakhmani. Their work appears in journals such as arXiv (Cornell University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.