Nadav Dym
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
- Advanced Numerical Analysis Techniques
Papers in
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- 3D Shape Modeling and Analysis 7
- Advanced Numerical Analysis Techniques 3
- Sparse and Compressive Sensing Techniques 2
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- Medical Image Segmentation Techniques 2
- Human Pose and Action Recognition 2
- Co-authors
- Yaron Lipman (6 shared papers)Haggai Maron (4 shared papers)Vladimir G. Kim (1 shared paper)Ersin Yumer (1 shared paper)Meirav Galun (1 shared paper)Noam Aigerman (1 shared paper)Shahar Z. Kovalsky (2 shared papers)Steven J. Gortler (2 shared papers)
- Journals
- ACM Transactions on Graphics (4 papers)Foundations of Computational Mathematics (2 papers)Applied and Computational Harmonic Analysis (1 paper)IEEE Transactions on Information Theory (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Nadav Dym
11 papers receiving 305 citations
Peers
Comparison fields: 5 of 49
- Computer Graphics and Computer-Aided Design 114
- Computational Mechanics 209
- Geology 55
- Computer Vision and Pattern Recognition 167
- Structural Biology 4
Countries citing papers authored by Nadav Dym
This map shows the geographic impact of Nadav Dym'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 Nadav Dym with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadav Dym more than expected).
Fields of papers citing papers by Nadav Dym
This network shows the impact of papers produced by Nadav Dym. 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 Nadav Dym. The network helps show where Nadav Dym may publish in the future.
Co-authors
The 18 scholars most cited alongside Nadav Dym, 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 | 2017 | 140 | |
| 2 | 2016 | 80 | |
| 3 | 2017 | 41 | |
| 4 | 2018 | 16 | |
| 5 | 2021 | 9 | |
| 6 | 2015 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 2 | |
| 10 | On the Universality of Rotation Equivariant Point Cloud Networks | 2021 | 1 |
| 11 | 2018 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Nadav Dym
Nadav Dym is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Structural Biology, Radiation and Artificial Intelligence, having authored 13 papers that have together received 310 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Advanced Numerical Analysis Techniques (3 papers), Advanced X-ray Imaging Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Neural Networks and Applications (2 papers), Human Pose and Action Recognition (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (114 citations), Computational Mechanics (209 citations), Geology (55 citations), Computer Vision and Pattern Recognition (167 citations) and Structural Biology (4 citations). Nadav Dym has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Yaron Lipman, Haggai Maron, Vladimir G. Kim, Ersin Yumer, Meirav Galun, Noam Aigerman, Shahar Z. Kovalsky, Steven J. Gortler, Tao Ju and Ingrid Daubechies. Their work appears in journals such as ACM Transactions on Graphics, Foundations of Computational Mathematics, Applied and Computational Harmonic Analysis, IEEE Transactions on Information Theory and Proceedings of the National Academy of Sciences.
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.