Jack W. Silverstein
Impact in
- Statistics and Probability top 0.05%
- Random Matrices and Applications
-
- Advanced Combinatorial Mathematics
Papers in
-
- Random Matrices and Applications 38
-
- Advanced Algebra and Geometry 15
- Stochastic processes and statistical mechanics 6
- Spectral Theory in Mathematical Physics 6
- Co-authors
- Zhidong Bai (10 shared papers)Jinho Baik (1 shared paper)James A. Anderson (5 shared papers)Randall S. Jones (2 shared papers)Sang Il Choi (1 shared paper)Raj Rao Nadakuditi (2 shared papers)Romain Couillet (6 shared papers)Patrick L. Combettes (2 shared papers)
- Journals
- Journal of Multivariate Analysis (14 papers)The Annals of Probability (6 papers)Psychological Review (4 papers)Random Matrices Theory and Application (3 papers)SIAM Journal on Applied Mathematics (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jack W. Silverstein
51 papers receiving 4.3k citations
Jack W. Silverstein's Hit Papers
Peers
Comparison fields: 5 of 124
- Statistics and Probability 2.6k
- Discrete Mathematics and Combinatorics 794
- Mathematical Physics 1.2k
- Signal Processing 659
- Computational Mathematics 23
Countries citing papers authored by Jack W. Silverstein
This map shows the geographic impact of Jack W. Silverstein'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 Jack W. Silverstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack W. Silverstein more than expected).
Fields of papers citing papers by Jack W. Silverstein
This network shows the impact of papers produced by Jack W. Silverstein. 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 Jack W. Silverstein. The network helps show where Jack W. Silverstein may publish in the future.
Co-authors
The 22 scholars most cited alongside Jack W. Silverstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spectral Analysis of Large Dimensional Random Matrices Hit paper breakdown → | 2009 | 865 |
| 2 | Distinctive features, categorical perception, and probability learning: Some applications of a neural model. Hit paper breakdown → | 1977 | 606 |
| 3 | 1995 | 418 | |
| 4 | 2005 | 370 | |
| 5 | 2004 | 310 | |
| 6 | 1995 | 304 | |
| 7 | 1998 | 295 | |
| 8 | 1995 | 157 | |
| 9 | 1985 | 140 | |
| 10 | 1977 | 106 | |
| 11 | 1999 | 96 | |
| 12 | 2010 | 93 | |
| 13 | 1988 | 90 | |
| 14 | 2006 | 82 | |
| 15 | 1977 | 61 | |
| 16 | 1992 | 56 | |
| 17 | 2008 | 44 | |
| 18 | 1990 | 42 | |
| 19 | 2007 | 40 | |
| 20 | 1989 | 40 |
About Jack W. Silverstein
Jack W. Silverstein is a scholar working on Statistics and Probability, Mathematical Physics, Discrete Mathematics and Combinatorics, Artificial Intelligence and Signal Processing, having authored 51 papers that have together received 4.6k indexed citations. Recurring topics across this work include Random Matrices and Applications (38 papers), Advanced Algebra and Geometry (15 papers), Advanced Combinatorial Mathematics (12 papers), Stochastic processes and statistical mechanics (6 papers), Blind Source Separation Techniques (6 papers), Spectral Theory in Mathematical Physics (6 papers), Neural dynamics and brain function (5 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Statistics and Probability (2.6k citations), Discrete Mathematics and Combinatorics (794 citations), Mathematical Physics (1.2k citations), Signal Processing (659 citations) and Computational Mathematics (23 citations). Jack W. Silverstein has collaborated with scholars based in United States, China and France. Frequent co-authors include Zhidong Bai, Jinho Baik, James A. Anderson, Randall S. Jones, Sang Il Choi, Raj Rao Nadakuditi, Romain Couillet, Patrick L. Combettes, Ulf Grenander and Yanqing Yin. Their work appears in journals such as Journal of Multivariate Analysis, The Annals of Probability, Psychological Review, Random Matrices Theory and Application 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.