Mark Rudelson

5.4k total citations · 1 hit paper
46 papers, 2.3k citations indexed

About

Mark Rudelson is a scholar working on Applied Mathematics, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Mark Rudelson has authored 46 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Applied Mathematics, 23 papers in Statistics and Probability and 16 papers in Mathematical Physics. Recurrent topics in Mark Rudelson's work include Point processes and geometric inequalities (23 papers), Random Matrices and Applications (19 papers) and Sparse and Compressive Sensing Techniques (11 papers). Mark Rudelson is often cited by papers focused on Point processes and geometric inequalities (23 papers), Random Matrices and Applications (19 papers) and Sparse and Compressive Sensing Techniques (11 papers). Mark Rudelson collaborates with scholars based in United States, Israel and France. Mark Rudelson's co-authors include Roman Vershynin, Emmanuel J. Candès, Terence Tao, Alain Pajor, Shuheng Zhou, Nicole Tomczak-Jaegermann, Olivier Guédon, Shiva Prasad Kasiviswanathan, Jonathan Ullman and Adam Smith and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of the Mechanics and Physics of Solids and Journal of the ACM.

In The Last Decade

Mark Rudelson

46 papers receiving 2.1k citations

Hit Papers

On sparse reconstruction from Fourier and Gaussian measur... 2007 2026 2013 2019 2007 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On sparse reconstruction from Fourier and Gaussian measurements
    2007 412 citations Mark Rudelson, Roman Vershynin profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Rudelson United States 20 1.0k 676 455 452 386 46 2.3k
Simon Foucart United States 14 2.0k 1.9× 139 0.2× 251 0.6× 228 0.5× 895 2.3× 42 2.8k
E. W. Cheney United States 22 589 0.6× 596 0.9× 231 0.5× 854 1.9× 71 0.2× 60 3.1k
Yaniv Plan Canada 12 1.5k 1.4× 229 0.3× 345 0.8× 74 0.2× 401 1.0× 25 2.2k
Anders Lindquist Sweden 30 363 0.3× 106 0.2× 463 1.0× 259 0.6× 73 0.2× 109 2.9k
I. J. Schoenberg United States 30 1.2k 1.1× 1.2k 1.8× 210 0.5× 1.4k 3.1× 106 0.3× 115 4.2k
Ernesto De Vito Italy 16 453 0.4× 234 0.3× 570 1.3× 219 0.5× 44 0.1× 56 1.5k
Yihong Wu United States 25 407 0.4× 470 0.7× 666 1.5× 73 0.2× 70 0.2× 84 1.9k
Lars Eldén Sweden 26 585 0.6× 68 0.1× 198 0.4× 344 0.8× 163 0.4× 77 2.4k
Hédy Attouch France 22 1.5k 1.4× 81 0.1× 273 0.6× 306 0.7× 180 0.5× 44 3.3k
Amos Ron United States 28 1.3k 1.2× 88 0.1× 733 1.6× 1.9k 4.2× 171 0.4× 67 4.2k

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-authorship network of co-authors of Mark Rudelson

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Rudelson. A scholar is included among the top collaborators of Mark Rudelson 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 Mark Rudelson. Mark Rudelson 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
1.
Dereziński, Michał, et al.. (2024). Optimal Embedding Dimension for Sparse Subspace Embeddings. 1106–1117. 1 indexed citations
2.
Rudelson, Mark, et al.. (2023). Approximately Hadamard Matrices and Riesz Bases in Random Frames. International Mathematics Research Notices. 2024(3). 2044–2065. 2 indexed citations
3.
Rudelson, Mark, et al.. (2023). Exact matching of random graphs with constant correlation. Probability Theory and Related Fields. 186(1-2). 327–389. 19 indexed citations
4.
Rudelson, Mark, Alex Samorodnitsky, & Ofer Zeitouni. (2016). Hafnians, perfect matchings and Gaussian matrices. The Annals of Probability. 44(4). 16 indexed citations
5.
Rudelson, Mark & Ofer Zeitouni. (2014). Singular values of Gaussian matrices and permanent estimators. Random Structures and Algorithms. 48(1). 183–212. 6 indexed citations
6.
Rudelson, Mark & Roman Vershynin. (2014). Small Ball Probabilities for Linear Images of High-Dimensional Distributions. International Mathematics Research Notices. 2015(19). 9594–9617. 35 indexed citations
7.
Rudelson, Mark. (2012). Row products of random matrices. Advances in Mathematics. 231(6). 3199–3231. 4 indexed citations
8.
Rudelson, Mark & Shuheng Zhou. (2011). Reconstruction from anisotropic random measurements. arXiv (Cornell University). 5 indexed citations
9.
Rudelson, Mark & Roman Vershynin. (2008). The Littlewood–Offord problem and invertibility of random matrices. Advances in Mathematics. 218(2). 600–633. 143 indexed citations
10.
Rudelson, Mark. (2008). Invertibility of random matrices: norm of the inverse. Annals of Mathematics. 168(2). 575–600. 46 indexed citations
11.
Rudelson, Mark & Roman Vershynin. (2006). Combinatorics of random processes and sections of convex bodies. Annals of Mathematics. 164(2). 603–648. 10 indexed citations
12.
Guédon, Olivier & Mark Rudelson. (2006). Lp-moments of random vectors via majorizing measures. Advances in Mathematics. 208(2). 798–823. 34 indexed citations
13.
Rudelson, Mark. (2006). Lower estimates for the singular values of random matrices. Comptes Rendus Mathématique. 342(4). 247–252. 10 indexed citations
14.
Rudelson, Mark & Roman Vershynin. (2005). . International Mathematics Research Notices. 2005(64). 4019–4019. 94 indexed citations
15.
Litvak, Alexander E., Alain Pajor, Mark Rudelson, Nicole Tomczak-Jaegermann, & Roman Vershynin. (2004). Random Euclidean embeddings in spaces of bounded volume ratio. Comptes Rendus Mathématique. 339(1). 33–38. 10 indexed citations
16.
Rudelson, Mark. (2004). Extremal Distances between Sections of Convex Bodies. Geometric and Functional Analysis. 14(5). 1063–1088. 1 indexed citations
17.
Pajor, Alain, et al.. (2004). Smallest singular value of random matrices and geometry of random polytopes. Advances in Mathematics. 195(2). 491–523. 123 indexed citations
18.
Rudelson, Mark. (1999). Random Vectors in the Isotropic Position. Journal of Functional Analysis. 164(1). 60–72. 170 indexed citations
19.
Rudelson, Mark. (1997). Contact points of convex bodies. Israel Journal of Mathematics. 101(1). 93–124. 12 indexed citations
20.
Avellaneda, M., et al.. (1996). A complete characterization of the possible bulk and shear moduli of planar polycrystals. Journal of the Mechanics and Physics of Solids. 44(7). 1179–1218. 36 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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