Roman Vershynin

13.7k total citations · 7 hit papers
66 papers, 6.4k citations indexed

About

Roman Vershynin is a scholar working on Computational Mechanics, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Roman Vershynin has authored 66 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 23 papers in Statistics and Probability and 20 papers in Mathematical Physics. Recurrent topics in Roman Vershynin's work include Sparse and Compressive Sensing Techniques (22 papers), Random Matrices and Applications (17 papers) and Point processes and geometric inequalities (13 papers). Roman Vershynin is often cited by papers focused on Sparse and Compressive Sensing Techniques (22 papers), Random Matrices and Applications (17 papers) and Point processes and geometric inequalities (13 papers). Roman Vershynin collaborates with scholars based in United States, Canada and France. Roman Vershynin's co-authors include Mark Rudelson, Deanna Needell, Thomas Strohmer, Yaniv Plan, Arvind Ganesh, Moshe Mishali, Jarvis Haupt, José Antonio Urigüen, Andrea Montanari and Weiyu Xu and has published in prestigious journals such as IEEE Transactions on Information Theory, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Roman Vershynin

64 papers receiving 6.1k citations

Hit Papers

Compressed Sensing 2007 2026 2013 2019 2012 2018 2008 2010 2008 250 500 750 1000

Peers

Roman Vershynin
Comparison fields: 5 of 122
  • Computational Mechanics 3.6k
  • Biomedical Engineering 1.5k
  • Artificial Intelligence 1.2k
  • Signal Processing 1.2k
  • Computer Vision and Pattern Recognition 1.1k
Replace Andrea Montanari with:
Andrea Montanari United States
Marc Teboulle Israel
Amir Beck Israel
Deanna Needell United States
Patrick L. Combettes France
Maryam Fazel United States
Justin Romberg United States
Thomas Strohmer United States
Ronald DeVore United States
Yurii Nesterov Belgium
Andrea Montanari United States View profile →
Citations per field, relative to Roman Vershynin
Roman Vershynin · 1×
Citations per year, relative to Roman Vershynin
Roman Vershynin · 1×

Countries citing papers authored by Roman Vershynin

Since Specialization
Citations

This map shows the geographic impact of Roman Vershynin'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 Roman Vershynin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Vershynin more than expected).

Fields of papers citing papers by Roman Vershynin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roman Vershynin. 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 Roman Vershynin. The network helps show where Roman Vershynin may publish in the future.

Co-authorship network of co-authors of Roman Vershynin

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 11
4
High-Dimensional Probability: An Introduction with Applications in Data Science breakdown →
352
5 30
6 5
7 1
8
Optimization via Low-rank Approximation, with Applications to Community Detection in Networks.
1
9 68
10
Compressed Sensing breakdown →
1142
11 40
12 28
13 37
14 143
15 23
16 152
17 4
18 10
19 39
20 31

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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