Jack W. Silverstein

7.9k total citations · 2 hit papers
48 papers, 4.5k citations indexed

About

Jack W. Silverstein is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Jack W. Silverstein has authored 48 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 21 papers in Mathematical Physics and 12 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Jack W. Silverstein's work include Random Matrices and Applications (36 papers), Advanced Algebra and Geometry (15 papers) and Advanced Combinatorial Mathematics (12 papers). Jack W. Silverstein is often cited by papers focused on Random Matrices and Applications (36 papers), Advanced Algebra and Geometry (15 papers) and Advanced Combinatorial Mathematics (12 papers). Jack W. Silverstein collaborates with scholars based in United States, China and Singapore. Jack W. Silverstein's co-authors include Zhidong Bai, James A. Anderson, Jinho Baik, Randall S. Jones, Sang Il Choi, Raj Rao Nadakuditi, Patrick L. Combettes, Ulf Grenander, Yanqing Yin and Debashis Paul and has published in prestigious journals such as Psychological Review, IEEE Transactions on Signal Processing and Biological Cybernetics.

In The Last Decade

Jack W. Silverstein

48 papers receiving 4.2k citations

Hit Papers

align trajectories

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.

Spectral Analysis of Large Dimensional Random Matrices

2009 844 citations Zhidong Bai, Jack W. Silverstein profile →
Distinctive features, categorical perception, and probability learning: Some applications of a neural model.

1977 605 citations James A. Anderson, Jack W. Silverstein et al. Psychological Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack W. Silverstein United States	23	2.5k	1.1k	1.1k	779	748	48	4.5k
János Komlós United States	35	450 0.2×	1.3k 1.1×	432 0.4×	1.7k 2.2×	667 0.9×	76	4.6k
Harry Kesten United States	46	2.9k 1.1×	673 0.6×	5.5k 5.0×	254 0.3×	123 0.2×	179	8.3k
Mathew D. Penrose United Kingdom	25	710 0.3×	387 0.3×	1.1k 1.0×	134 0.2×	390 0.5×	91	3.8k
Van Vu United States	27	1.2k 0.5×	387 0.3×	946 0.9×	742 1.0×	113 0.2×	73	2.6k
J. W. Moon Canada	29	209 0.1×	962 0.9×	520 0.5×	985 1.3×	1.1k 1.5×	139	4.4k
E. N. Gilbert United States	29	212 0.1×	1.4k 1.2×	340 0.3×	153 0.2×	2.2k 2.9×	77	6.5k
Elchanan Mossel United States	34	723 0.3×	1.3k 1.1×	468 0.4×	167 0.2×	127 0.2×	169	4.1k
Florent Krząkała France	32	576 0.2×	1.4k 1.2×	269 0.2×	63 0.1×	348 0.5×	114	4.0k
Tomasz Łuczak Poland	33	604 0.2×	880 0.8×	1.3k 1.2×	2.3k 3.0×	441 0.6×	158	5.1k
Felipe Cucker Hong Kong	25	456 0.2×	1.1k 1.0×	583 0.5×	64 0.1×	117 0.2×	109	5.2k

Countries citing papers authored by Jack W. Silverstein

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jack W. Silverstein

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

All Works

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20 of 20 papers shown

Couillet, Romain, Frédéric Pascal, & Jack W. Silverstein. (2015). The random matrix regime of Maronna’s M-estimator with elliptically distributed samples. Journal of Multivariate Analysis. 139. 56–78. 28 indexed citations

Silverstein, Jack W., et al.. (2014). No More Pencils, No More Books. Digital Commons-DePaul (DePaul University). 4 indexed citations

Bryc, Katarzyna, et al.. (2013). Separation of the largest eigenvalues in eigenanalysis of genotype data from discrete subpopulations. Theoretical Population Biology. 89. 34–43. 13 indexed citations

Couillet, Romain, Frédéric Pascal, & Jack W. Silverstein. (2012). Robust M-Estimation for Array Processing: A Random Matrix Approach. arXiv (Cornell University). 7 indexed citations

Couillet, Romain, Mérouane Debbah, & Jack W. Silverstein. (2009). A deterministic equivalent for the capacity analysis of correlated multi-user MIMO channels. 18 indexed citations

Paul, Debashis & Jack W. Silverstein. (2008). No eigenvalues outside the support of the limiting empirical spectral distribution of a separable covariance matrix. Journal of Multivariate Analysis. 100(1). 37–57. 41 indexed citations

Silverstein, Jack W., et al.. (2007). Analysis of the limiting spectral distribution of large dimensional information-plus-noise type matrices. Journal of Multivariate Analysis. 98(6). 1099–1122. 38 indexed citations

Silverstein, Jack W., et al.. (2006). On the empirical distribution of eigenvalues of large dimensional information-plus-noise-type matrices. Journal of Multivariate Analysis. 98(4). 678–694. 77 indexed citations

Baik, Jinho & Jack W. Silverstein. (2005). Eigenvalues of large sample covariance matrices of spiked population models. Journal of Multivariate Analysis. 97(6). 1382–1408. 365 indexed citations

10.

Silverstein, Jack W.. (1995). Strong Convergence of the Empirical Distribution of Eigenvalues of Large Dimensional Random Matrices. Journal of Multivariate Analysis. 55(2). 331–339. 296 indexed citations

11.

Silverstein, Jack W. & Sang Il Choi. (1995). Analysis of the Limiting Spectral Distribution of Large Dimensional Random Matrices. Journal of Multivariate Analysis. 54(2). 295–309. 155 indexed citations

12.

Silverstein, Jack W. & Zhidong Bai. (1995). On the Empirical Distribution of Eigenvalues of a Class of Large Dimensional Random Matrices. Journal of Multivariate Analysis. 54(2). 175–192. 408 indexed citations

13.

Silverstein, Jack W.. (1990). Weak Convergence of Random Functions Defined by The Eigenvectors of Sample Covariance Matrices. The Annals of Probability. 18(3). 41 indexed citations

14.

Silverstein, Jack W.. (1989). On the weak limit of the largest eigenvalue of a large dimensional sample covariance matrix. Journal of Multivariate Analysis. 30(2). 307–311. 22 indexed citations

15.

Silverstein, Jack W.. (1989). On the eigenvectors of large dimensional sample covariance matrices. Journal of Multivariate Analysis. 30(1). 1–16. 39 indexed citations

16.

Bai, Zhidong, Jack W. Silverstein, & Yanqing Yin. (1988). A note on the largest eigenvalue of a large dimensional sample covariance matrix. Journal of Multivariate Analysis. 26(2). 166–168. 88 indexed citations

17.

Silverstein, Jack W.. (1984). Some limit theorems on the eigenvectors of large dimensional sample covariance matrices. Journal of Multivariate Analysis. 15(3). 295–324. 18 indexed citations

18.

Campbell, Stephen L. & Jack W. Silverstein. (1981). A nonlinear system with singular vector field near equilibria. Applicable Analysis. 12(1). 57–71. 1 indexed citations

19.

Anderson, James A. & Jack W. Silverstein. (1978). Reply to Grossberg.. Psychological Review. 85(6). 597–603. 8 indexed citations

20.

Anderson, James A., et al.. (1977). Distinctive features, categorical perception, and probability learning: Some applications of a neural model.. Psychological Review. 84(5). 413–451. 605 indexed citations breakdown →

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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