Gal Metzer
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Image Processing and 3D Reconstruction
Papers in
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- Computer Graphics and Visualization Techniques 6
- Computational Geometry and Mesh Generation 2
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- 3D Shape Modeling and Analysis 7
- Advanced Numerical Analysis Techniques 3
- Co-authors
- Daniel Cohen‐Or (8 shared papers)Raja Giryes (7 shared papers)Elad Richardson (4 shared papers)Or Patashnik (1 shared paper)Yuval Alaluf (2 shared papers)Rana Hanocka (4 shared papers)Denis Zorin (2 shared papers)Daniele Panozzo (2 shared papers)
- Journals
- ACM Transactions on Graphics (4 papers)Computer Graphics Forum (1 paper)ICC 2022 - IEEE International Conference on Communications (1 paper)
- Partner nations
- IsraelUnited StatesSweden
In The Last Decade
Gal Metzer
10 papers receiving 343 citations
Gal Metzer's Hit Papers
Peers
Comparison fields: 5 of 44
- Computer Graphics and Computer-Aided Design 214
- Computer Vision and Pattern Recognition 228
- Computational Mechanics 208
- Geology 31
- Control and Systems Engineering 52
Countries citing papers authored by Gal Metzer
This map shows the geographic impact of Gal Metzer'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 Gal Metzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gal Metzer more than expected).
Fields of papers citing papers by Gal Metzer
This network shows the impact of papers produced by Gal Metzer. 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 Gal Metzer. The network helps show where Gal Metzer may publish in the future.
Co-authors
The 11 scholars most cited alongside Gal Metzer, 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 | Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures Hit paper breakdown → | 2023 | 158 |
| 2 | 2023 | 88 | |
| 3 | 2021 | 37 | |
| 4 | 2023 | 30 | |
| 5 | 2021 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 1 |
About Gal Metzer
Gal Metzer is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Ocean Engineering, having authored 10 papers that have together received 356 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Computer Graphics and Visualization Techniques (6 papers), Advanced Numerical Analysis Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Wireless Communication Technologies (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Advanced Vision and Imaging (2 papers) and Computational Geometry and Mesh Generation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (214 citations), Computer Vision and Pattern Recognition (228 citations), Computational Mechanics (208 citations), Geology (31 citations) and Control and Systems Engineering (52 citations). Gal Metzer has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Daniel Cohen‐Or, Raja Giryes, Elad Richardson, Or Patashnik, Yuval Alaluf, Rana Hanocka, Denis Zorin, Daniele Panozzo, Niloy J. Mitra and Israel Cohen. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and ICC 2022 - IEEE International Conference on Communications.
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.