Ilya Eckstein

891 total citations · 1 hit paper
9 papers, 573 citations indexed

About

Ilya Eckstein is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ilya Eckstein has authored 9 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Graphics and Computer-Aided Design, 4 papers in Computational Mechanics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ilya Eckstein's work include Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers) and Computational Geometry and Mesh Generation (3 papers). Ilya Eckstein is often cited by papers focused on Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers) and Computational Geometry and Mesh Generation (3 papers). Ilya Eckstein collaborates with scholars based in United States, Australia and Israel. Ilya Eckstein's co-authors include Joshua Ainslie, Santiago Ontañón, Arthur W. Toga, Ina B. Wanner, Ivo D. Dinov, Andrew N. Clarkson, S. Thomas Carmichael, Vitaly Surazhsky, Craig Gotsman and C.‐C. Jay Kuo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Computer Graphics Forum.

In The Last Decade

Ilya Eckstein

9 papers receiving 558 citations

Hit Papers

FNet: Mixing Tokens with Fourier Transforms 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ilya Eckstein United States 7 146 132 118 93 56 9 573
Shubao Liu United States 13 141 1.0× 58 0.4× 131 1.1× 58 0.6× 27 0.5× 24 698
Kai Xie China 14 367 2.5× 78 0.6× 94 0.8× 181 1.9× 18 0.3× 79 870
Vinh‐Thong Ta France 12 271 1.9× 119 0.9× 69 0.6× 43 0.5× 23 0.4× 28 606
Xiaolan Zeng United States 5 398 2.7× 45 0.3× 65 0.6× 22 0.2× 61 1.1× 9 596
Yin Chen China 12 355 2.4× 17 0.1× 61 0.5× 62 0.7× 30 0.5× 50 793
Yingfei Liu China 13 348 2.4× 35 0.3× 35 0.3× 57 0.6× 12 0.2× 50 696
Steven McDonagh United Kingdom 11 180 1.2× 17 0.1× 101 0.9× 27 0.3× 17 0.3× 23 345
Erhan Bas United States 14 211 1.4× 116 0.9× 62 0.5× 289 3.1× 18 0.3× 32 971
Yavuz Erdem Türkiye 14 229 1.6× 63 0.5× 109 0.9× 59 0.6× 10 0.2× 73 727
Andrea U. J. Mewes United States 8 417 2.9× 70 0.5× 150 1.3× 14 0.2× 21 0.4× 8 878

Countries citing papers authored by Ilya Eckstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ilya Eckstein

This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Eckstein. A scholar is included among the top collaborators of Ilya Eckstein 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 Ilya Eckstein. Ilya Eckstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ainslie, Joshua, et al.. (2022). FNet: Mixing Tokens with Fourier Transforms. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4296–4313. 264 indexed citations breakdown →
2.
Zemlyanskiy, Yury, Joshua Ainslie, Michiel de Jong, et al.. (2021). ReadTwice: Reading Very Large Documents with Memories. 5189–5195. 7 indexed citations
3.
Clarkson, Andrew N., Ina B. Wanner, Ilya Eckstein, et al.. (2012). A role for ephrin-A5 in axonal sprouting, recovery, and activity-dependent plasticity after stroke. Proceedings of the National Academy of Sciences. 109(33). E2230–9. 207 indexed citations
4.
Peng, Jingliang, et al.. (2010). Feature Oriented Progressive Lossless Mesh Coding. Computer Graphics Forum. 29(7). 2029–2038. 22 indexed citations
5.
Eckstein, Ilya, David W. Shattuck, Jason L. Stein, et al.. (2009). Active fibers: Matching deformable tract templates to diffusion tensor images. NeuroImage. 47. T82–T89. 19 indexed citations
6.
Eckstein, Ilya, Anand A. Joshi, C.‐C. Jay Kuo, Richard M. Leahy, & Mathieu Desbrun. (2007). Generalized Surface Flows for Deformable Registration and Cortical Matching. Lecture notes in computer science. 10(Pt 1). 692–700. 15 indexed citations
7.
Eckstein, Ilya, Mathieu Desbrun, & C.‐C. Jay Kuo. (2006). Compression of time varying isosurfaces. 99–105. 3 indexed citations
8.
Peng, Jingliang, Ilya Eckstein, & C.‐C. Jay Kuo. (2006). A novel and efficient progressive lossless mesh coder. 180–180. 1 indexed citations
9.
Eckstein, Ilya, Vitaly Surazhsky, & Craig Gotsman. (2001). Texture Mapping with Hard Constraints. Computer Graphics Forum. 20(3). 95–104. 35 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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