Ilya Eckstein
Impact in
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- Computer Graphics and Visualization Techniques
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Computer Graphics and Visualization Techniques 5
- Computational Geometry and Mesh Generation 3
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- 3D Shape Modeling and Analysis 4
- Co-authors
- Joshua Ainslie (2 shared papers)Santiago Ontañón (1 shared paper)Arthur W. Toga (2 shared papers)Andrew N. Clarkson (1 shared paper)Ina B. Wanner (1 shared paper)Ivo D. Dinov (1 shared paper)S. Thomas Carmichael (1 shared paper)Vitaly Surazhsky (1 shared paper)
- Journals
- Computer Graphics Forum (2 papers)Proceedings of the National Academy of Sciences (1 paper)NeuroImage (1 paper)Lecture notes in computer science (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Ilya Eckstein
9 papers receiving 558 citations
Ilya Eckstein's Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Graphics and Computer-Aided Design 56
- Neurology 132
- Developmental Neuroscience 53
- Computer Vision and Pattern Recognition 146
- Computational Mathematics 3
Countries citing papers authored by Ilya Eckstein
This map shows the geographic impact of Ilya Eckstein'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 Ilya Eckstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Eckstein more than expected).
Fields of papers citing papers by Ilya Eckstein
This network shows the impact of papers produced by Ilya Eckstein. 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 Ilya Eckstein. The network helps show where Ilya Eckstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilya Eckstein, 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 | FNet: Mixing Tokens with Fourier Transforms Hit paper breakdown → | 2022 | 264 |
| 2 | 2012 | 207 | |
| 3 | 2001 | 35 | |
| 4 | 2010 | 22 | |
| 5 | 2009 | 19 | |
| 6 | 2007 | 15 | |
| 7 | 2021 | 7 | |
| 8 | Compression of time varying isosurfaces | 2006 | 3 |
| 9 | 2006 | 1 |
About Ilya Eckstein
Ilya Eckstein is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 9 papers that have together received 573 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Computational Geometry and Mesh Generation (3 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Time Series Analysis and Forecasting (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Neurology (132 citations), Developmental Neuroscience (53 citations), Computer Vision and Pattern Recognition (146 citations) and Computational Mathematics (3 citations). Ilya Eckstein has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Joshua Ainslie, Santiago Ontañón, Arthur W. Toga, Andrew N. Clarkson, Ina B. Wanner, Ivo D. Dinov, S. Thomas Carmichael, Vitaly Surazhsky, Craig Gotsman and C.‐C. Jay Kuo. Their work appears in journals such as Computer Graphics Forum, Proceedings of the National Academy of Sciences, NeuroImage, Lecture notes in computer science and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.