Daniel Cohen‐Or
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- Computer Graphics and Visualization Techniques 185
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Vision and Imaging 111
- Generative Adversarial Networks and Image Synthesis 61
- Advanced Image and Video Retrieval Techniques 53
- Image Processing and 3D Reconstruction 41
- Geology top 0.01%
- 3D Surveying and Cultural Heritage 39
- Computational Mechanics top 0.01%
- 3D Shape Modeling and Analysis 181
- Advanced Numerical Analysis Techniques 42
- Environmental Engineering top 0.2%
Daniel Cohen‐Or
407 papers receiving 25.1k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Computer Graphics and Computer-Aided Design 10.2k
- Computer Vision and Pattern Recognition 16.4k
- Geology 4.0k
- Computational Mechanics 12.6k
- Environmental Engineering 2.2k
Countries citing papers authored by Daniel Cohen‐Or
This map shows the geographic impact of Daniel Cohen‐Or'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 Daniel Cohen‐Or with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cohen‐Or more than expected).
Fields of papers citing papers by Daniel Cohen‐Or
This network shows the impact of papers produced by Daniel Cohen‐Or. 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 Daniel Cohen‐Or. The network helps show where Daniel Cohen‐Or may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Cohen‐Or, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 78 | |
| 10 | 2023 | 27 | |
| 11 | 2023 | 58 | |
| 12 | 2022 | 30 | |
| 13 | Designing an encoder for StyleGAN image manipulationbreakdown → | 2021 | 389 |
| 14 | 2021 | 37 | |
| 15 | 2020 | 16 | |
| 16 | Disentangling in Latent Space by Harnessing a Pretrained Generator. | 2020 | 8 |
| 17 | PU-GAN: A Point Cloud Upsampling Adversarial Networkbreakdown → | 2019 | 287 |
| 18 | 2018 | 6 | |
| 19 | 2017 | 108 | |
| 20 | 2005 | 193 |
About Daniel Cohen‐Or
Daniel Cohen‐Or is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Geology and Architecture, having authored 421 papers that have together received 26.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (185 papers), 3D Shape Modeling and Analysis (181 papers), Advanced Vision and Imaging (111 papers), Generative Adversarial Networks and Image Synthesis (61 papers), Advanced Image and Video Retrieval Techniques (53 papers), Advanced Numerical Analysis Techniques (42 papers), Image Processing and 3D Reconstruction (41 papers) and 3D Surveying and Cultural Heritage (39 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (10.2k citations), Computer Vision and Pattern Recognition (16.4k citations), Geology (4.0k citations), Computational Mechanics (12.6k citations) and Environmental Engineering (2.2k citations). Daniel Cohen‐Or has collaborated with scholars based in Israel, China and Canada. Frequent co-authors include Hao Zhang, Shachar Fleishman, David Levin, Marc Alexa, Iddo Drori, Dani Lischinski, Ariel Shamir, Niloy J. Mitra, Baoquan Chen and Olga Sorkine. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, The Visual Computer and Computational Visual Media.
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.