Random Matrices-Theory and Applications

Papers
(The TQCC of Random Matrices-Theory and Applications is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Strong convergence of the empirical spectral distribution of a unified matrix model11
Nonstandard large and moderate deviations for the Laguerre ensemble10
Asymptotic expansions of Gaussian and Laguerre ensembles at the soft edge II: Level densities9
Analysis of the limiting spectral distribution of large random matrices of the Marčenko–Pastur type7
On the precise deviations of the characteristic polynomial of a random matrix6
Monotonicity of the logarithmic energy for random matrices5
The Boolean quadratic forms and tangent law5
Nonlinear interaction detection through partial dimension reduction with missing response data4
Statistical inference on kurtosis of independent component model3
Tail bounds on the spectral norm of sub-exponential random matrices3
The moderate deviation principles of likelihood ratio tests under alternative hypothesis3
Rank 1 perturbations in random matrix theory — A review of exact results3
Matrix deviation inequality for ℓp-norm3
On special solutions to the Ermakov–Painlevé XXV equation2
Robust estimation and test for Pearson’s correlation coefficient2
Central limit theory of hotelling’s T2 statistic with dimensionality reduction2
Strong limit theorem for largest entry of large-dimensional random tensor2
Exact convergence rate of spectral radius of complex Ginibre to Gumbel distribution2
Fisher information approximation of random orthogonal matrices by Gaussian matrices2
Empirical likelihood inference for time-varying coefficient autoregressive models2
Factoring determinants and applications to number theory2
A non-Gaussian limit for linear eigenvalue statistics of Hankel matrices2
Dyson equation for correlated linearizations and test error of random features regression2
Computing free convolutions via contour integrals2
Covariance kernel of linear spectral statistics for half-heavy tailed Wigner matrices2
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