Nadav Dym

589 total citations
13 papers, 295 citations indexed

About

Nadav Dym is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Structural Biology. According to data from OpenAlex, Nadav Dym has authored 13 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Structural Biology. Recurrent topics in Nadav Dym's work include 3D Shape Modeling and Analysis (7 papers), Advanced Numerical Analysis Techniques (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Nadav Dym is often cited by papers focused on 3D Shape Modeling and Analysis (7 papers), Advanced Numerical Analysis Techniques (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Nadav Dym collaborates with scholars based in Israel, United States and United Kingdom. Nadav Dym's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Information Theory and ACM Transactions on Graphics.

In The Last Decade

Nadav Dym

11 papers receiving 291 citations

Peers

Nadav Dym
Basile Van Hoorick United States
Noha Radwan United States
Leonidas Guibas United States
Keunhong Park United States
Anpei Chen Germany
Jean-Yves Bouguet United States
Yuewen Ma China
Utkarsh Sinha India
Ang Cao United States
Andrei Zaharescu France
Basile Van Hoorick United States
Nadav Dym
Citations per year, relative to Nadav Dym Nadav Dym (= 1×) peers Basile Van Hoorick

Countries citing papers authored by Nadav Dym

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nadav Dym

This figure shows the co-authorship network connecting the top 25 collaborators of Nadav Dym. A scholar is included among the top collaborators of Nadav Dym based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadav Dym. Nadav Dym is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Bendory, Tamir, et al.. (2025). Phase Retrieval with Semialgebraic and ReLU Neural Network Priors. SIAM Journal on Mathematics of Data Science. 7(4). 1705–1728.
3.
Amir, Tal, et al.. (2024). Complete Neural Networks for Complete Euclidean Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12482–12490. 2 indexed citations
4.
Dym, Nadav & Steven J. Gortler. (2024). Low-Dimensional Invariant Embeddings for Universal Geometric Learning. Foundations of Computational Mathematics. 25(2). 375–415. 7 indexed citations
5.
Daubechies, Ingrid, et al.. (2022). Neural Network Approximation of Refinable Functions. IEEE Transactions on Information Theory. 69(1). 482–495. 5 indexed citations
6.
Dym, Nadav & Haggai Maron. (2021). On the Universality of Rotation Equivariant Point Cloud Networks. International Conference on Learning Representations. 1 indexed citations
7.
Cheng, Cheng, Ingrid Daubechies, Nadav Dym, & Jianfeng Lu. (2021). Stable phase retrieval from locally stable and conditionally connected measurements. Applied and Computational Harmonic Analysis. 55. 440–465. 8 indexed citations
8.
Dym, Nadav, et al.. (2018). Robust optimization for topological surface reconstruction. ACM Transactions on Graphics. 37(4). 1–10. 16 indexed citations
9.
Dym, Nadav, et al.. (2018). Linear variational principle for Riemann mappings and discrete conformality. Proceedings of the National Academy of Sciences. 116(3). 732–737. 1 indexed citations
10.
Dym, Nadav, Haggai Maron, & Yaron Lipman. (2017). DS++. ACM Transactions on Graphics. 36(6). 1–14. 38 indexed citations
11.
Maron, Haggai, Meirav Galun, Noam Aigerman, et al.. (2017). Convolutional neural networks on surfaces via seamless toric covers. ACM Transactions on Graphics. 36(4). 1–10. 134 indexed citations
12.
Maron, Haggai, et al.. (2016). Point registration via efficient convex relaxation. ACM Transactions on Graphics. 35(4). 1–12. 75 indexed citations
13.
Dym, Nadav, et al.. (2015). Homotopic Morphing of Planar Curves. Computer Graphics Forum. 34(5). 239–251. 8 indexed citations

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.

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