OOIR: Observatory of International Research

Papers

(The TQCC of SIAM Journal on Matrix Analysis 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 2021-05-01 to 2025-05-01.)

Article	Citations
Generalized Matrix Nearness Problems	35
Generalized Perron Roots and Solvability of the Absolute Value Equation	25
Contour Integration for Eigenvector Nonlinearities	21
Efficient Vectors for Block Perturbed Consistent Matrices	16
An Analysis of the Rayleigh–Ritz and Refined Rayleigh–Ritz Methods for Regular Nonlinear Eigenvalue Problems	16
Diagonal Scalings for the Eigenstructure of Arbitrary Pencils	14
Arbitrary Precision Algorithms for Computing the Matrix Cosine and its Fréchet Derivative	13
Reorthogonalized Pythagorean Variants of Block Classical Gram–Schmidt	13
Revisiting the Matrix Polynomial Greatest Common Divisor	11
Computing the Riemannian Logarithm on the Stiefel Manifold: Metrics, Methods, and Performance	9
Global Convergence of Hessenberg Shifted QR III: Approximate Ritz Values via Shifted Inverse Iteration	9
Sharp Estimation of Convergence Rate for Self-Consistent Field Iteration to Solve Eigenvector-Dependent Nonlinear Eigenvalue Problems	9
A Bootstrap Multigrid Eigensolver	9
Nesting Approximate Inverses for Improved Preconditioning and Algebraic Multigrid Smoothing	9
Analysis of the Truncated Conjugate Gradient Method for Linear Matrix Equations	9
Sensitivity of Matrix Function Based Network Communicability Measures: Computational Methods and A Priori Bounds	9
A Fast Iterative Algorithm for Near-Diagonal Eigenvalue Problems	8
Probabilistic Rounding Error Analysis of Householder QR Factorization	8
A Riemannian Optimization Method to Compute the Nearest Singular Pencil	8
$(L_r,L_r,1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials	8
A Newton Method for Solving Locally Definite Multiparameter Eigenvalue Problems by Multi-index	7
Singular Value Decomposition of Dual Matrices and its Application to Traveling Wave Identification in the Brain	7
Randomized Nyström Preconditioning	7
Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices	7
Refinement of Hottopixx Method for Nonnegative Matrix Factorization Under Noisy Separability	7

New Convergence Analysis of GMRES with Weighted Norms, Preconditioning, and Deflation, Leading to a New Deflation Space	7
Extreme Ratio Between Spectral and Frobenius Norms of Nonnegative Tensors	6
Efficient Scaling and Squaring Method for the Matrix Exponential	6
Solving Singular Generalized Eigenvalue Problems. Part II: Projection and Augmentation	6
Root-Max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems	6
Analyzing the Influence of Agents in Trust Networks: Applying Nonsmooth Eigensensitivity Theory to a Graph Centrality Problem	6
Matrix Pencils with Coefficients that have Positive Semidefinite Hermitian Parts	6
EPIC: A Provable Accelerated Eigensolver Based on Preconditioning and Implicit Convexity	6
Spectral Transformation for the Dense Symmetric Semidefinite Generalized Eigenvalue Problem	5
Krylov-Aware Stochastic Trace Estimation	5
Decomposition of a Tensor into Multilinear Rank-${(M_{{r}},N_{{r}},\cdot )}$ Terms	5
Deflation for the Off-Diagonal Block in Symmetric Saddle Point Systems	5
A Sampling Algorithm to Compute the Set of Feasible Solutions for NonNegative Matrix Factorization with an Arbitrary Rank	5
On Semidefinite Programming Characterizations of the Numerical Radius and Its Dual Norm	5
Analytical Singular Value Decomposition for a Class of Stoichiometry Matrices	5
Multidimensional Total Least Squares Problem with Linear Equality Constraints	5
Multichannel Frequency Estimation with Constant Amplitude via Convex Structured Low-Rank Approximation	4
On the Condition Number of the Shifted Real Ginibre Ensemble	4
Block Preconditioners for the Marker-and-Cell Discretization of the Stokes–Darcy Equations	4
Five-Precision GMRES-Based Iterative Refinement	4
Twice Is Enough for Dangerous Eigenvalues	4
Theoretical and Computable Optimal Subspace Expansions for Matrix Eigenvalue Problems	4
High Curvature Means Low Rank: On the Sectional Curvature of Grassmann and Stiefel Manifolds and the Underlying Matrix Trace Inequalities	4
Surrogate-Based Autotuning for Randomized Sketching Algorithms in Regression Problems	4
Approximate Generalized Inverses with Iterative Refinement for $\epsilon$-Accurate Preconditioning of Singular Systems	4
Asymptotic Spectral Properties of the Hilbert $L$ -Matrix	3
A Stable Matrix Version of the 2D Fast Multipole Method	3
Johnson–Lindenstrauss Embeddings with Kronecker Structure	3
Hierarchical Orthogonal Factorization: Sparse Square Matrices	3
Measuring Segregation via Analysis on Graphs	3
Entrywise Tensor-Train Approximation of Large Tensors via Random Embeddings	3
Multilinear Singular Value Decomposition–Based Completion with Fibers Observed in a Single Mode	3
Parameterized Interpolation of Passive Systems	3
A Columnwise Update Algorithm for Sparse Stochastic Matrix Factorization	3
Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps	3
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis	3
Backpropagation through Back Substitution with a Backslash	3
Multilevel Tau Preconditioners for Symmetrized Multilevel Toeplitz Systems with Applications to Solving Space Fractional Diffusion Equations	3
Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices	3
A Block Householder–Based Algorithm for the QR Decomposition of Hierarchical Matrices	3
Avoiding Discretization Issues for Nonlinear Eigenvalue Problems	3
Krylov Subspace Approach to Core Problems within Multilinear Approximation Problems: A Unifying Framework	3
Geometric Inexact Newton Method for Generalized Singular Values of Grassmann Matrix Pair	2
Probabilistic Rounding Error Analysis of Modified Gram–Schmidt	2
A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems	2
Eigenstructure Perturbations for a Class of Hamiltonian Matrices and Solutions of Related Riccati Inequalities	2
Stable and Efficient Computation of Generalized Polar Decompositions	2
GMRES with Randomized Sketching and Deflated Restarting	2
Structure-Preserving Doubling Algorithms That Avoid Breakdowns for Algebraic Riccati-Type Matrix Equations	2
Reorthogonalized Block Classical Gram–Schmidt Using Two Cholesky-Based TSQR Algorithms	2

A Structure Preserving Shift-Invert Infinite Arnoldi Algorithm for a Class of Delay Eigenvalue Problems with Hamiltonian Symmetry	2
Global Convergence of Hessenberg Shifted QR II: Finite Arithmetic	2
Row or Column Completion of Polynomial Matrices of Given Degree	2
Solving the Cubic Regularization Model by a Nested Restarting Lanczos Method	2
On Adaptive Stochastic Heavy Ball Momentum for Solving Linear Systems	2
A Theory of Quantum Subspace Diagonalization	2
Input-Tailored System-Theoretic Model Order Reduction for Quadratic-Bilinear Systems	2
Variational Characterization and Rayleigh Quotient Iteration of 2D Eigenvalue Problem with Applications	2
Primitivity and Hurwitz Primitivity of Nonnegative Matrix Tuples: A Unified Approach	2
Assigning Stationary Distributions to Sparse Stochastic Matrices	2
Unimodular Completions and Orthogonal Complements of Matrices over Univariate Ore Extensions	2
Riemannian Preconditioned Coordinate Descent for Low Multilinear Rank Approximation	2
Improved Variants of the Hutch++ Algorithm for Trace Estimation	2
A Numerically Stable Communication-Avoiding ${s}$-Step GMRES Algorithm	2
An Efficient Algorithm for Integer Lattice Reduction	2
A Measure Concentration Effect for Matrices of High, Higher, and Even Higher Dimension	2
Properties of the Solution Set of Absolute Value Equations and the Related Matrix Classes	2
A Comparison of Mixed Precision Iterative Refinement Approaches for Least-Squares Problems	2
An Apocalypse-Free First-Order Low-Rank Optimization Algorithm with at Most One Rank Reduction Attempt per Iteration	2
Randomized Block Adaptive Linear System Solvers	2
A Complex-Projected Rayleigh Quotient Iteration for Targeting Interior Eigenvalues	2
Parametric Kernel Low-Rank Approximations Using Tensor Train Decomposition	2
On Best Low Rank Approximation of Positive Definite Tensors	2
Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor	2