Amit Singer
Impact in
- Structural Biology top 0.2%
- Advanced Electron Microscopy Techniques and Applications
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- stochastic dynamics and bifurcation
Papers in
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- Advanced Electron Microscopy Techniques and Applications 32
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- Electron and X-Ray Spectroscopy Techniques 23
- Co-authors
- Z. SchussDavid HolcmanYoel ShkolniskyRonald R. CoifmanHau‐Tieng WuZhizhen ZhaoFred J. SigworthBob Eisenberg
- Journals
- SIAM Journal on Imaging Sciences (9 papers)Applied and Computational Harmonic Analysis (6 papers)Proceedings of the National Academy of Sciences (5 papers)IEEE Transactions on Image Processing (4 papers)SIAM Journal on Applied Mathematics (3 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Amit Singer
102 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 140
- Structural Biology 502
- Statistical and Nonlinear Physics 651
- Surfaces, Coatings and Films 353
- Computational Mathematics 29
- Mathematical Physics 323
Countries citing papers authored by Amit Singer
This map shows the geographic impact of Amit Singer'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 Amit Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Singer more than expected).
Fields of papers citing papers by Amit Singer
This network shows the impact of papers produced by Amit Singer. 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 Amit Singer. The network helps show where Amit Singer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amit Singer, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 9 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 7 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 12 | |
| 9 | 2019 | 15 | |
| 10 | 2017 | 43 | |
| 11 | 2017 | 4 | |
| 12 | 2017 | 2 | |
| 13 | 2016 | 8 | |
| 14 | 2014 | 55 | |
| 15 | Approximating the Little Grothendieck Problem over the Unitary and Orthogonal Groups | 2013 | 1 |
| 16 | 2013 | 26 | |
| 17 | 2012 | 103 | |
| 18 | 2006 | 35 | |
| 19 | 2005 | 13 | |
| 20 | 2005 | 4 |
About Amit Singer
Amit Singer is a scholar working on Structural Biology, Surfaces, Coatings and Films, Biophysics, Statistical and Nonlinear Physics and Radiation, having authored 104 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (32 papers), Electron and X-Ray Spectroscopy Techniques (23 papers), Sparse and Compressive Sensing Techniques (21 papers), stochastic dynamics and bifurcation (13 papers), Advanced X-ray Imaging Techniques (11 papers), Blind Source Separation Techniques (11 papers), Diffusion and Search Dynamics (11 papers) and Topological and Geometric Data Analysis (6 papers). The work is most often cited by research in Structural Biology (502 citations), Statistical and Nonlinear Physics (651 citations), Surfaces, Coatings and Films (353 citations), Computational Mathematics (29 citations) and Mathematical Physics (323 citations). Amit Singer has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Z. Schuss, David Holcman, Yoel Shkolnisky, Ronald R. Coifman, Hau‐Tieng Wu, Zhizhen Zhao, Fred J. Sigworth, Bob Eisenberg, Nicolas Boumal and John Norbury. Their work appears in journals such as SIAM Journal on Imaging Sciences, Applied and Computational Harmonic Analysis, Proceedings of the National Academy of Sciences, IEEE Transactions on Image Processing and SIAM Journal on Applied Mathematics.
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.