Ilya Eckstein
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
Papers in
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- Computer Graphics and Visualization Techniques 2
- Computational Geometry and Mesh Generation 1
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- Topic Modeling 3
- Natural Language Processing Techniques 2
- Co-authors
- Joshua Ainslie (2 shared papers)James Lee-Thorp (1 shared paper)Santiago Ontañón (1 shared paper)Arthur W. Toga (2 shared papers)Stanley Thomas Carmichael (1 shared paper)Ina B. Wanner (1 shared paper)Ivo D. Dinov (1 shared paper)Andrew N. Clarkson (1 shared paper)
- Journals
- Computer Graphics Forum (2 papers)NeuroImage (1 paper)Proceedings of the National Academy of Sciences (1 paper)arXiv (Cornell University) (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (2 papers)
- Partner nations
- United StatesNew ZealandIsrael
In The Last Decade
Ilya Eckstein
9 papers receiving 725 citations
Ilya Eckstein's Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Graphics and Computer-Aided Design 75
- Rehabilitation 79
- Neurology 80
- Developmental Neuroscience 26
- Computer Vision and Pattern Recognition 189
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 | 343 |
| 2 | 2012 | 222 | |
| 3 | 2007 | 56 | |
| 4 | 2001 | 40 | |
| 5 | 2010 | 27 | |
| 6 | 2009 | 20 | |
| 7 | 2007 | 16 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 8 |
About Ilya Eckstein
Ilya Eckstein is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Rehabilitation, having authored 9 papers that have together received 741 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Computer Graphics and Visualization Techniques (2 papers), Stroke Rehabilitation and Recovery (1 paper), Computational Geometry and Mesh Generation (1 paper), Nerve injury and regeneration (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (75 citations), Rehabilitation (79 citations), Neurology (80 citations), Developmental Neuroscience (26 citations) and Computer Vision and Pattern Recognition (189 citations). Ilya Eckstein has collaborated with scholars based in United States, New Zealand and Israel. Frequent co-authors include Joshua Ainslie, James Lee-Thorp, Santiago Ontañón, Arthur W. Toga, Stanley Thomas Carmichael, Ina B. Wanner, Ivo D. Dinov, Andrew N. Clarkson, Mathieu Desbrun and Vitaly Surazhsky. Their work appears in journals such as Computer Graphics Forum, NeuroImage, Proceedings of the National Academy of Sciences, arXiv (Cornell University) and Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT).
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.