SIAM Journal on Matrix Analysis and Applications

Papers
(The TQCC of SIAM Journal on Matrix Analysis and Applications is 3. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
An Analysis of the Rayleigh–Ritz and Refined Rayleigh–Ritz Methods for Regular Nonlinear Eigenvalue Problems40
Reorthogonalized Pythagorean Variants of Block Classical Gram–Schmidt31
Generalized Perron Roots and Solvability of the Absolute Value Equation24
Generalized Matrix Nearness Problems22
Arbitrary Precision Algorithms for Computing the Matrix Cosine and its Fréchet Derivative21
Contour Integration for Eigenvector Nonlinearities17
Diagonal Scalings for the Eigenstructure of Arbitrary Pencils17
Revisiting the Matrix Polynomial Greatest Common Divisor16
Computing the Riemannian Logarithm on the Stiefel Manifold: Metrics, Methods, and Performance15
Analysis of the Truncated Conjugate Gradient Method for Linear Matrix Equations14
Efficient Vectors for Block Perturbed Consistent Matrices13
Nesting Approximate Inverses for Improved Preconditioning and Algebraic Multigrid Smoothing12
Probabilistic Rounding Error Analysis of Householder QR Factorization11
A Riemannian Optimization Method to Compute the Nearest Singular Pencil11
A Newton Method for Solving Locally Definite Multiparameter Eigenvalue Problems by Multi-index11
Global Convergence of Hessenberg Shifted QR III: Approximate Ritz Values via Shifted Inverse Iteration11
A Fast Iterative Algorithm for Near-Diagonal Eigenvalue Problems10
$(L_r,L_r,1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials10
A Bootstrap Multigrid Eigensolver10
Singular Value Decomposition of Dual Matrices and its Application to Traveling Wave Identification in the Brain10
New Convergence Analysis of GMRES with Weighted Norms, Preconditioning, and Deflation, Leading to a New Deflation Space10
Sensitivity of Matrix Function Based Network Communicability Measures: Computational Methods and A Priori Bounds10
Sharp Estimation of Convergence Rate for Self-Consistent Field Iteration to Solve Eigenvector-Dependent Nonlinear Eigenvalue Problems10
Analyzing the Influence of Agents in Trust Networks: Applying Nonsmooth Eigensensitivity Theory to a Graph Centrality Problem9
Extreme Ratio Between Spectral and Frobenius Norms of Nonnegative Tensors9
Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices9
Krylov-Aware Stochastic Trace Estimation9
EPIC: A Provable Accelerated Eigensolver Based on Preconditioning and Implicit Convexity8
Randomized Nyström Preconditioning8
Efficient Scaling and Squaring Method for the Matrix Exponential8
Matrix Pencils with Coefficients that have Positive Semidefinite Hermitian Parts7
Multidimensional Total Least Squares Problem with Linear Equality Constraints7
Solving Singular Generalized Eigenvalue Problems. Part II: Projection and Augmentation7
Root-Max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems7
A Sampling Algorithm to Compute the Set of Feasible Solutions for NonNegative Matrix Factorization with an Arbitrary Rank7
Refinement of Hottopixx Method for Nonnegative Matrix Factorization Under Noisy Separability7
Decomposition of a Tensor into Multilinear Rank-\({(M_{{r}},N_{{r}},\cdot )}\) Terms6
On the Condition Number of the Shifted Real Ginibre Ensemble6
Analytical Singular Value Decomposition for a Class of Stoichiometry Matrices6
Spectral Transformation for the Dense Symmetric Semidefinite Generalized Eigenvalue Problem6
Deflation for the Off-Diagonal Block in Symmetric Saddle Point Systems6
Surrogate-Based Autotuning for Randomized Sketching Algorithms in Regression Problems6
High Curvature Means Low Rank: On the Sectional Curvature of Grassmann and Stiefel Manifolds and the Underlying Matrix Trace Inequalities6
Five-Precision GMRES-Based Iterative Refinement6
Multichannel Frequency Estimation with Constant Amplitude via Convex Structured Low-Rank Approximation5
Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices5
Block Preconditioners for the Marker-and-Cell Discretization of the Stokes–Darcy Equations5
Higher-Order Self-Consistent Field: Efficient Decoupling Algorithms for Finding the Best Rank-One Approximation of Higher-Order Tensors5
Measuring Segregation via Analysis on Graphs5
Theoretical and Computable Optimal Subspace Expansions for Matrix Eigenvalue Problems5
A Columnwise Update Algorithm for Sparse Stochastic Matrix Factorization5
Approximate Generalized Inverses with Iterative Refinement for $\epsilon$-Accurate Preconditioning of Singular Systems5
Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps5
Hierarchical Orthogonal Factorization: Sparse Square Matrices5
On Semidefinite Programming Characterizations of the Numerical Radius and Its Dual Norm5
Johnson–Lindenstrauss Embeddings with Kronecker Structure5
A Block Householder–Based Algorithm for the QR Decomposition of Hierarchical Matrices5
Avoiding Discretization Issues for Nonlinear Eigenvalue Problems5
Parameterized Interpolation of Passive Systems5
Twice Is Enough for Dangerous Eigenvalues5
Analysis on Aggregation and Block Smoothers in Multigrid Methods for Block Toeplitz Linear Systems4
Parametric Kernel Low-Rank Approximations Using Tensor Train Decomposition4
Tree Quasi-separable Matrices: A Simultaneous Generalization of Sequentially and Hierarchically Semiseparable Representations4
Multilevel Tau Preconditioners for Symmetrized Multilevel Toeplitz Systems with Applications to Solving Space Fractional Diffusion Equations4
Multilinear Singular Value Decomposition–Based Completion with Fibers Observed in a Single Mode4
Asymptotic Spectral Properties of the Hilbert \(L\) -Matrix4
Krylov Subspace Approach to Core Problems within Multilinear Approximation Problems: A Unifying Framework4
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis4
A Stable Matrix Version of the 2D Fast Multipole Method4
Entrywise Tensor-Train Approximation of Large Tensors via Random Embeddings4
Backpropagation through Back Substitution with a Backslash4
A Measure Concentration Effect for Matrices of High, Higher, and Even Higher Dimension3
A Comparison of Mixed Precision Iterative Refinement Approaches for Least-Squares Problems3
Geometric Inexact Newton Method for Generalized Singular Values of Grassmann Matrix Pair3
An Efficient Algorithm for Integer Lattice Reduction3
Solving the Cubic Regularization Model by a Nested Restarting Lanczos Method3
Posterior Covariance Structures in Gaussian Processes3
Improved Variants of the Hutch++ Algorithm for Trace Estimation3
A Structure Preserving Shift-Invert Infinite Arnoldi Algorithm for a Class of Delay Eigenvalue Problems with Hamiltonian Symmetry3
Reorthogonalized Block Classical Gram–Schmidt Using Two Cholesky-Based TSQR Algorithms3
A Numerically Stable Communication-Avoiding \({s}\)-Step GMRES Algorithm3
Structure-Preserving Doubling Algorithms That Avoid Breakdowns for Algebraic Riccati-Type Matrix Equations3
A Theory of Quantum Subspace Diagonalization3
Randomized Block Adaptive Linear System Solvers3
GMRES with Randomized Sketching and Deflated Restarting3
Stable and Efficient Computation of Generalized Polar Decompositions3
Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes3
Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor3
A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems3
Variational Characterization and Rayleigh Quotient Iteration of 2D Eigenvalue Problem with Applications3
Assigning Stationary Distributions to Sparse Stochastic Matrices3
Global Convergence of Hessenberg Shifted QR II: Finite Arithmetic3
Probabilistic Rounding Error Analysis of Modified Gram–Schmidt3
Row or Column Completion of Polynomial Matrices of Given Degree3
On Best Low Rank Approximation of Positive Definite Tensors3
Riemannian Preconditioned Coordinate Descent for Low Multilinear Rank Approximation3
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