Mark Rudelson
- Statistics and Probability top 0.5%
- Random Matrices and Applications 19
- Markov Chains and Monte Carlo Methods 5
- Computational Mathematics top 2%
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- Advanced Combinatorial Mathematics 5
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques 11
- Applied Mathematics top 1%
- Point processes and geometric inequalities 23
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- Advanced Algebra and Geometry 6
- Advanced Banach Space Theory 5
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- Blind Source Separation Techniques 5
- Co-authors
- Roman VershyninEmmanuel J. CandèsTerence TaoAlain PajorShuheng ZhouNicole Tomczak-JaegermannOlivier GuédonShiva Prasad Kasiviswanathan
- Journals
- Advances in Mathematics (5 papers)Israel Journal of Mathematics (4 papers)Geometric and Functional Analysis (4 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Mark Rudelson
46 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Statistics and Probability 676
- Computational Mathematics 46
- Discrete Mathematics and Combinatorics 167
- Computational Mechanics 1.0k
- Applied Mathematics 452
Countries citing papers authored by Mark Rudelson
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
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 19 | |
| 4 | 2016 | 16 | |
| 5 | 2014 | 6 | |
| 6 | 2014 | 35 | |
| 7 | 2012 | 4 | |
| 8 | 2008 | 143 | |
| 9 | 2008 | 46 | |
| 10 | 2008 | 13 | |
| 11 | 2006 | 34 | |
| 12 | 2006 | 10 | |
| 13 | 2006 | 10 | |
| 14 | 2005 | 11 | |
| 15 | 2005 | 94 | |
| 16 | 2004 | 10 | |
| 17 | 2004 | 123 | |
| 18 | 1999 | 170 | |
| 19 | 1997 | 12 | |
| 20 | 1996 | 36 |
About Mark Rudelson
Mark Rudelson is a scholar working on Statistics and Probability, Applied Mathematics 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), Blind Source Separation Techniques (5 papers), Advanced Banach Space Theory (5 papers), Markov Chains and Monte Carlo Methods (5 papers) and Advanced Combinatorial Mathematics (5 papers). The work is most often cited by research in Statistics and Probability (676 citations), Computational Mathematics (46 citations) and Discrete Mathematics and Combinatorics (167 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, Alain Pajor, Shuheng Zhou, 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.