Noa Fish
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 2%
- 3D Surveying and Cultural Heritage
Papers in
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- Image Retrieval and Classification Techniques 5
- Advanced Vision and Imaging 3
- Image Processing and 3D Reconstruction 3
- Data Visualization and Analytics 2
- Generative Adversarial Networks and Image Synthesis 2
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- 3D Shape Modeling and Analysis 8
- Co-authors
- Daniel Cohen‐Or (12 shared papers)Rana Hanocka (2 shared papers)Raja Giryes (2 shared papers)Shachar Fleishman (2 shared papers)Amir Hertz (1 shared paper)Oliver van Kaick (3 shared papers)Hao Su (2 shared papers)Yanir Kleiman (2 shared papers)
- Journals
- ACM Transactions on Graphics (7 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Computer Graphics Forum (2 papers)Graphical Models (1 paper)Eurographics (1 paper)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Noa Fish
12 papers receiving 880 citations
Noa Fish's Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Graphics and Computer-Aided Design 319
- Geology 185
- Computational Mechanics 594
- Computer Vision and Pattern Recognition 540
- Industrial and Manufacturing Engineering 54
Countries citing papers authored by Noa Fish
This map shows the geographic impact of Noa Fish'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 Noa Fish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Fish more than expected).
Fields of papers citing papers by Noa Fish
This network shows the impact of papers produced by Noa Fish. 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 Noa Fish. The network helps show where Noa Fish may publish in the future.
Co-authors
The 25 scholars most cited alongside Noa Fish, 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 | MeshCNN Hit paper breakdown → | 2019 | 401 |
| 2 | 2015 | 128 | |
| 3 | 2018 | 103 | |
| 4 | 2014 | 91 | |
| 5 | 2014 | 64 | |
| 6 | 2016 | 42 | |
| 7 | 2013 | 17 | |
| 8 | 2016 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2018 | 0 |
About Noa Fish
Noa Fish is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Social Psychology and Ecology, having authored 13 papers that have together received 897 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Vision and Imaging (3 papers), Image Processing and 3D Reconstruction (3 papers), Data Visualization and Analytics (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Color perception and design (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (319 citations), Geology (185 citations), Computational Mechanics (594 citations), Computer Vision and Pattern Recognition (540 citations) and Industrial and Manufacturing Engineering (54 citations). Noa Fish has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Daniel Cohen‐Or, Rana Hanocka, Raja Giryes, Shachar Fleishman, Amir Hertz, Oliver van Kaick, Hao Su, Yanir Kleiman, Leonidas Guibas and Charles R. Qi. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Graphical Models and Eurographics.
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.