Mark Rudelson

46 papers receiving 2.1k citations

Mark Rudelson's Hit Papers

On sparse reconstruction from Fourier and Gaussian measurements 2007 · 412 citations
4120+6+12Years since publication100200300400

Peers

Mark Rudelson
Comparison fields: 5 of 91
  • Statistics and Probability 676
  • Computational Mathematics 46
  • Discrete Mathematics and Combinatorics 167
  • Computational Mechanics 1.0k
  • Applied Mathematics 452
Replace Stéphane Boucheron with:
Stéphane Boucheron France
Chandler Davis Canada
Yihong Wu United States
Albrecht Böttcher Germany
Stefano Serra‐Capizzano Italy
J.M. Peña Spain
Amos Ron United States
Antonia M. Tulino Italy
Raj Rao Nadakuditi United States
Afonso S. Bandeira United States
Mark Rudelson relative to Stéphane Boucheron France Stéphane Boucheron's profile →
Citations per field
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Stéphane Boucheron · 1×
Citations per year

Countries citing papers authored by Mark Rudelson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Rudelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Mark Rudelson, 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 Mark Rudelson Line = papers co-authored together Mark Rudelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On sparse reconstruction from Fourier and Gaussian measurements
Hit paper breakdown →
2007412
2 2013204
3 1999170
4 2006167
5 2005164
6 2007146
7 2008143
8 2009135
9 2004123
10
200594
11 201363
12 201057
13 200846
14 200045
15 199636
16 201435
17 200634
18 201621
19 199920
20 202319

About Mark Rudelson

Mark Rudelson is a scholar working on Applied Mathematics, Statistics and Probability, Mathematical Physics, Computational Mechanics and Discrete Mathematics and Combinatorics, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (23 papers), Random Matrices and Applications (19 papers), Sparse and Compressive Sensing Techniques (11 papers), Advanced Algebra and Geometry (6 papers), Advanced Combinatorial Mathematics (5 papers), Markov Chains and Monte Carlo Methods (5 papers), Blind Source Separation Techniques (5 papers) and Advanced Banach Space Theory (5 papers). The work is most often cited by research in Statistics and Probability (676 citations), Computational Mathematics (46 citations), Discrete Mathematics and Combinatorics (167 citations), Computational Mechanics (1.0k citations) and Applied Mathematics (452 citations). Mark Rudelson has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Roman Vershynin, Emmanuel J. Candès, Terence Tao, Shuheng Zhou, Alain Pajor, Nicole Tomczak-Jaegermann, Olivier Guédon, Shiva Prasad Kasiviswanathan, Adam Smith and Jonathan Ullman. Their work appears in journals such as Advances in Mathematics, Israel Journal of Mathematics, Geometric and Functional Analysis, Discrete & Computational Geometry and Comptes Rendus Mathématique.

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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