Noa Fish
-
- Computer Graphics and Visualization Techniques 6
- Geology top 5%
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis 7
-
- Image Retrieval and Classification Techniques 4
- Advanced Vision and Imaging 3
- Generative Adversarial Networks and Image Synthesis 2
- Image Processing and 3D Reconstruction 2
- Data Visualization and Analytics 2
-
- Data Analysis with R 1
- Co-authors
- Daniel Cohen‐OrRana HanockaRaja GiryesShachar FleishmanAmir HertzOliver van KaickYanir KleimanLeonidas Guibas
- Journals
- ACM Transactions on Graphics (7 papers)Computer Graphics Forum (2 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Noa Fish
11 papers receiving 743 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Graphics and Computer-Aided Design 283
- Geology 147
- Computational Mechanics 506
- Computer Vision and Pattern Recognition 454
- 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-authorship network
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 | 2020 | 6 | |
| 2 | 2020 | 8 | |
| 3 | 2020 | 7 | |
| 4 | 2019 | 9 | |
| 5 | MeshCNNbreakdown → | 2019 | 350 |
| 6 | 2018 | 92 | |
| 7 | 2018 | 0 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 111 | |
| 10 | 2014 | 60 | |
| 11 | 2014 | 86 | |
| 12 | 2013 | 16 |
About Noa Fish
Noa Fish is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Geology and Computational Theory and Mathematics, having authored 12 papers that have together received 760 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Computer Graphics and Visualization Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Vision and Imaging (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Image Processing and 3D Reconstruction (2 papers), Data Visualization and Analytics (2 papers) and Data Analysis with R (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (283 citations), Geology (147 citations), Computational Mechanics (506 citations), Computer Vision and Pattern Recognition (454 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, Yanir Kleiman, Leonidas Guibas, Charles R. Qi and Hao Su. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics and Graphical Models.
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.