Ron Mokady
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
Papers in
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- Generative Adversarial Networks and Image Synthesis 8
- Advanced Image Processing Techniques 3
- Advanced Image and Video Retrieval Techniques 2
- Face recognition and analysis 2
- Advanced Neural Network Applications 1
- Multimodal Machine Learning Applications 1
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- Geotechnical Engineering and Soil Stabilization 1
- Co-authors
- Daniel Cohen‐Or (6 shared papers)Amit H. Bermano (6 shared papers)Kfir Aberman (1 shared paper)Amir Hertz (1 shared paper)Yael Pritch (1 shared paper)Rinon Gal (3 shared papers)Omer Tov (3 shared papers)Yuval Alaluf (2 shared papers)
- Journals
- Computer Graphics Forum (3 papers)Soil Science Society of America Journal (1 paper)ACM Transactions on Graphics (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Ron Mokady
10 papers receiving 865 citations
Ron Mokady's Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Graphics and Computer-Aided Design 184
- Computer Vision and Pattern Recognition 748
- Signal Processing 70
- Computational Mechanics 103
- Artificial Intelligence 140
Countries citing papers authored by Ron Mokady
This map shows the geographic impact of Ron Mokady'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 Ron Mokady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Mokady more than expected).
Fields of papers citing papers by Ron Mokady
This network shows the impact of papers produced by Ron Mokady. 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 Ron Mokady. The network helps show where Ron Mokady may publish in the future.
Co-authors
The 18 scholars most cited alongside Ron Mokady, 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 | Null-text Inversion for Editing Real Images using Guided Diffusion Models Hit paper breakdown → | 2023 | 302 |
| 2 | Pivotal Tuning for Latent-based Editing of Real Images Hit paper breakdown → | 2022 | 258 |
| 3 | HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing Hit paper breakdown → | 2022 | 163 |
| 4 | 2022 | 54 | |
| 5 | 2022 | 49 | |
| 6 | 2022 | 47 | |
| 7 | 2022 | 19 | |
| 8 | 2020 | 10 | |
| 9 | 1964 | 8 | |
| 10 | 2022 | 2 |
About Ron Mokady
Ron Mokady is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Statistical and Nonlinear Physics, Computational Mechanics and Media Technology, having authored 10 papers that have together received 912 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Image Processing Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Face recognition and analysis (2 papers), Cancer-related molecular mechanisms research (1 paper), Advanced Neural Network Applications (1 paper), Multimodal Machine Learning Applications (1 paper) and Geotechnical Engineering and Soil Stabilization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (184 citations), Computer Vision and Pattern Recognition (748 citations), Signal Processing (70 citations), Computational Mechanics (103 citations) and Artificial Intelligence (140 citations). Ron Mokady has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Daniel Cohen‐Or, Amit H. Bermano, Kfir Aberman, Amir Hertz, Yael Pritch, Rinon Gal, Omer Tov, Yuval Alaluf, Amir Globerson and Or Patashnik. Their work appears in journals such as Computer Graphics Forum, Soil Science Society of America Journal, ACM Transactions on Graphics 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.