Amit Singer

102 papers receiving 3.6k citations

Peers

Amit Singer
Comparison fields: 5 of 140
  • Structural Biology 512
  • Statistical and Nonlinear Physics 656
  • Computational Mathematics 31
  • Surfaces, Coatings and Films 352
  • Mathematical Physics 324
Replace Chao Yang with:
Chao Yang United States
Charles A. Bouman United States
Justin Romberg United States
Boaz Nadler Israel
Joseph W. Goodman United States
Emad Fatemi United States
A. van den Bos Netherlands
Matteo Frigo United States
Justin Romberg United States
Carola‐Bibiane Schönlieb United Kingdom
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Citations per year

Countries citing papers authored by Amit Singer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Amit Singer Line = papers co-authored together Amit Singer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007234
2 2010179
3 2006170
4 2012128
5 2008125
6 2006111
7 2006109
8 2012103
9 2009103
10 2013100
11 201199
12 200793
13 200689
14 200981
15 200877
16 201577
17 201676
18 200869
19 201068
20 201267

About Amit Singer

Amit Singer is a scholar working on Structural Biology, Molecular Biology, Computational Mechanics, Surfaces, Coatings and Films and Computer Vision and Pattern Recognition, 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 (22 papers), Sparse and Compressive Sensing Techniques (21 papers), stochastic dynamics and bifurcation (13 papers), Blind Source Separation Techniques (11 papers), Diffusion and Search Dynamics (11 papers), Advanced X-ray Imaging Techniques (10 papers) and Topological and Geometric Data Analysis (6 papers). The work is most often cited by research in Structural Biology (512 citations), Statistical and Nonlinear Physics (656 citations), Computational Mathematics (31 citations), Surfaces, Coatings and Films (352 citations) and Mathematical Physics (324 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, Nicolas Boumal, Bob Eisenberg 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.

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