Noam Aigerman
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Computational Mechanics top 1%
- 3D Shape Modeling and Analysis
- Advanced Numerical Analysis Techniques
Papers in
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- 3D Shape Modeling and Analysis 29
- Advanced Numerical Analysis Techniques 15
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- Computer Graphics and Visualization Techniques 20
- Computational Geometry and Mesh Generation 8
- Co-authors
- Yaron Lipman (9 shared papers)Vladimir G. Kim (12 shared papers)Roi Poranne (2 shared papers)Shahar Z. Kovalsky (6 shared papers)Siddhartha Chaudhuri (5 shared papers)Ronen Basri (2 shared papers)Alec Jacobson (4 shared papers)Ersin Yumer (1 shared paper)
- Journals
- ACM Transactions on Graphics (15 papers)Computer Graphics Forum (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Noam Aigerman
30 papers receiving 993 citations
Peers
Comparison fields: 5 of 63
- Computer Graphics and Computer-Aided Design 694
- Computational Mechanics 875
- Computer Vision and Pattern Recognition 395
- Geology 49
- Industrial and Manufacturing Engineering 51
Countries citing papers authored by Noam Aigerman
This map shows the geographic impact of Noam Aigerman'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 Noam Aigerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Aigerman more than expected).
Fields of papers citing papers by Noam Aigerman
This network shows the impact of papers produced by Noam Aigerman. 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 Noam Aigerman. The network helps show where Noam Aigerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Noam Aigerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 140 | |
| 2 | 2013 | 93 | |
| 3 | 2020 | 88 | |
| 4 | 2015 | 84 | |
| 5 | 2014 | 78 | |
| 6 | 2015 | 73 | |
| 7 | 2016 | 65 | |
| 8 | 2015 | 62 | |
| 9 | 2014 | 59 | |
| 10 | 2020 | 35 | |
| 11 | 2020 | 29 | |
| 12 | 2017 | 29 | |
| 13 | 2021 | 28 | |
| 14 | 2022 | 26 | |
| 15 | 2023 | 26 | |
| 16 | 2020 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2023 | 13 | |
| 19 | 2021 | 11 | |
| 20 | 2022 | 7 |
About Noam Aigerman
Noam Aigerman is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (29 papers), Computer Graphics and Visualization Techniques (20 papers), Advanced Numerical Analysis Techniques (15 papers), Computational Geometry and Mesh Generation (8 papers), Advanced Vision and Imaging (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Human Pose and Action Recognition (2 papers) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (694 citations), Computational Mechanics (875 citations), Computer Vision and Pattern Recognition (395 citations), Geology (49 citations) and Industrial and Manufacturing Engineering (51 citations). Noam Aigerman has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Yaron Lipman, Vladimir G. Kim, Roi Poranne, Shahar Z. Kovalsky, Siddhartha Chaudhuri, Ronen Basri, Alec Jacobson, Ersin Yumer, Yifan Wang and Meirav Galun. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum 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.