SIAM Review

Papers
(The median citation count of SIAM Review is 0. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Book Reviews350
Book Reviews224
Lifting for Simplicity: Concise Descriptions of Convex Sets61
Contour Integral Methods for Nonlinear Eigenvalue Problems: A Systems Theoretic Approach49
Graph Neural Networks and Applied Linear Algebra47
Education42
Incorporating Computational Challenges into a Multidisciplinary Course on Stochastic Processes39
Research Spotlights37
Education34
Survey and Review34
Least Squares and the Not-Normal Equations33
Nonlinear Perron--Frobenius Theorems for Nonnegative Tensors30
The Poincaré Metric and the Bergman Theory27
SIGEST26
Survey and Review25
Featured Review: How Data Happened: A History from the Age of Reason to the Age of Algorithms22
Book Reviews21
Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-Valued Model Output20
Combinatorial and Hodge Laplacians: Similarities and Differences18
Survey and Review16
Research Spotlights15
Book Reviews15
Education14
Featured Review: Making Democracy Count: How Mathematics Improves Voting, Electoral Maps, and Representation13
Hysteresis and Stability13
A Bridge between Invariant Theory and Maximum Likelihood Estimation13
Uncertainty Analysis of a Simple River Quality Model Using Differential Inequalities12
Developing Workforce with Mathematical Modeling Skills12
How Exponentially Ill-Conditioned Are Contiguous Submatrices of the Fourier Matrix?12
Sparse Approximations with Interior Point Methods9
Book Review: Big Data Analytics for Smart Transport and Healthcare Systems9
Research Spotlights9
Book Reviews8
SIGEST8
Education7
Learning Dynamical Systems with Side Information7
Book Review: Algorithmic Mathematics in Machine Learning7
Book Review: Essential Statistics for Data Science: A Concise Crash Course6
Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites6
SIGEST6
Optimal Survival Strategies for Diffusive Flows: A Schrödinger Bridge Approach to Unbalanced Transport6
Book Review: Dissipative Lattice Dynamical Systems6
Survey and Review5
Book Review: Classical Numerical Analysis: A Comprehensive Course5
Research Spotlights5
Research Spotlights5
Love--Lieb Integral Equations: Applications, Theory, Approximations, and Computations5
Scalable Load Balancing in Networked Systems: A Survey of Recent Advances4
Education4
Improbability of Collisions of Point-Vortices in Bounded Planar Domains4
When Randomness Helps in Undersampling4
Operator Learning Using Random Features: A Tool for Scientific Computing4
Oscillatory Networks: Insights from Piecewise-Linear Modeling4
Education4
Flow and Elastic Networks on the ????-Torus: Geometry, Analysis, and Computation4
SIGEST3
A New Version of the Adaptive Fast Gauss Transform for Discrete and Continuous Sources3
SIGEST3
Numerical Review of Mathieu Function Programs for Integer Orders and Real Parameters3
Education3
Education3
LU and CR Elimination3
Research Spotlights2
Sandpiles and Dunes: Mathematical Models for Granular Matter2
Book Reviews2
Survey and Review2
Delayed Gradient Methods for Symmetric and Positive Definite Linear Systems2
SIGEST2
Book Review: Differential Equations: Solving Ordinary and Partial Differential Equations with Mathematica2
Minimizing the Repayment Cost of Federal Student Loans2
Research Spotlights2
Featured Review: The Sequential Quadratic Hamiltonian Method: Solving Optimal Control Problems2
Does the Helmholtz Boundary Element Method Suffer from the Pollution Effect?1
Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants1
A Benchmark for the Bayesian Inversion of Coefficients in Partial Differential Equations1
SIGEST1
Book Reviews1
Book Review: Elegant Simulations. From Simple Oscillators to Many-Body Systems1
Nesterov's Method for Convex Optimization0
SIGEST0
Stochastic Dual Dynamic Programming and Its Variants: A Review0
Book Reviews0
Research Spotlights0
Modern Koopman Theory for Dynamical Systems0
Research Spotlights0
Chaos Game Representation0
Survey and Review0
Book Review: Stochastic Integral and Differential Equations in Mathematical Modelling0
Bump Attractors and Waves in Networks of Leaky Integrate-and-Fire Neurons0
The Reflection Method for the Numerical Solution of Linear Systems0
The Role of Directionality, Heterogeneity, and Correlations in Epidemic Risk and Spread0
Compartment Models with Memory0
Education0
Book Reviews0
Hypergraph Cuts with General Splitting Functions0
Education0
Deforming $||.||_{1}$ into $||.||_{\infty}$ via Polyhedral Norms: A Pedestrian Approach0
Research Spotlights0
Book Reviews0
Book Review: Optimal Mass Transport on Euclidean Spaces0
Book Reviews0
SIGEST0
Book Review: Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory: A Minimum-Principle Approach0
SIGEST0
Survey and Review0
Analyzing Pattern Formation in the Gray--Scott Model: An XPPAUT Tutorial0
Are Adaptive Galerkin Schemes Dissipative?0
Randomized Reference Models for Temporal Networks0
The Network HHD: Quantifying Cyclic Competition in Trait-Performance Models of Tournaments0
SIGEST0
Survey and Review0
Hawkes Processes Modeling, Inference, and Control: An Overview0
Book Review: Probability Adventures0
Multiobjective Optimization Using the R2 Utility0
Survey and Review0
On the Loewner Framework, the Kolmogorov Superposition Theorem, and the Curse of Dimensionality0
A Mathematical Model for the Origin of Name Brands and Generics0
Feynman's Inverse Problem0
SIGEST0
Some Comments on Preconditioning for Normal Equations and Least Squares0
Piecewise Smooth Models of Pumping a Child's Swing0
Research Spotlights0
Education0
A Simple Formula for the Generalized Spectrum of Second Order Self-Adjoint Differential Operators0
What Are Higher-Order Networks?0
A Nonlocal-to-Local Approach to Aggregation-Diffusion Equations0
Book Reviews0
Erratum: On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics0
Book Review: Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution0
Book Review: Algorithmic Mathematics in Machine Learning0
Book Review: Statistical Foundations of Actuarial Learning and Its Applications0
Bayesian Inverse Problems Are Usually Well-Posed0
Hamiltonicity of Cubic Planar Graphs with Bounded Face Sizes0
Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review0
Book Review: Mathematical Analysis: A Very Short Introduction0
Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists0
The One-Dimensional Version of Peixoto's Structural Stability Theorem: A Calculus-Based Proof0
Book Reviews0
Research Spotlights0
NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators0
Variance and Covariance of Distributions on Graphs0
SIGEST0
Modeling Still Matters: A Surprising Instance of Catastrophic Floating Point Errors in Mathematical Biology and Numerical Methods for ODEs0
Sigmoid Functions, Multiscale Resolution of Singularities, and $hp$-Mesh Refinement0
Book Reviews0
Resonantly Forced ODEs and Repeated Roots0
Dimensionality Reduction via Dynamical Systems: The Case of t-SNE0
Research Spotlights0
When Data Driven Reduced Order Modeling Meets Full Waveform Inversion0
Cardinality Minimization, Constraints, and Regularization: A Survey0
Coupling Techniques for Nonlinear Ensemble Filtering0
Turning Big Data Into Tiny Data: Coresets for Unsupervised Learning Problems0
Survey and Review0
Education0
Survey and Review0
On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance0
Featured Review: Numerical Integration of Differential Equations0
Book Review: A New Lotka–Volterra Model of Competition With Strategic Aggression: Civil Wars When Strategy Comes into Play0
SIGEST0
Survey and Review0
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm0
Finite Element Methods Respecting the Discrete Maximum Principle for Convection-Diffusion Equations0
Risk-Adaptive Approaches to Stochastic Optimization: A Survey0
Book Review: Mathematical Pictures at a Data Science Exhibition0
The Fundamental Subspaces of Ensemble Kalman Inversion0
Research Spotlights0
Survey and Review0
An Introductory Review on A Posteriori Error Estimation in Finite Element Computations0
Education0
Bilinear Optimal Control of an Advection-Reaction-Diffusion System0
Computed Origami Tomography0
SIGEST0
Newton's Method in Mixed Precision0
A Comprehensive Proof of Bertrand's Theorem0
DUE: A Deep Learning Framework and Library for Modeling Unknown Equations0
Neural ODE Control for Classification, Approximation, and Transport0
Flow-Based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance0
Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians0
Book Review: Numerical Methods in Physics with Python. Second Edition0
Education0
Research Spotlights0
Education0
Book Reviews0
Survey and Review0
Book Reviews0
Book Review: Math in Drag0
Education0
Survey and Review0
Geometric Quasilinearization Framework for Analysis and Design of Bound-Preserving Schemes0
Generating Resonant and Repeated Root Solutions to Ordinary Differential Equations Using Perturbation Methods0
The Gross–Pitaevskii Equation and Eigenvector Nonlinearities: Numerical Methods and Algorithms0
Computational Methods for Large-Scale Inverse Problems: A Survey on Hybrid Projection Methods0
Survey and Review0
The Troublesome Kernel: On Hallucinations, No Free Lunches, and the Accuracy-Stability Tradeoff in Inverse Problems0
Exactness of Quadrature Formulas0
SIGEST0
Limits of Learning Dynamical Systems0
Book Review: Discrete Variational Problems with Interfaces0
Computerized Tomography and Reproducing Kernels0
A Generalized Dual Transform: Linear Algebra and Geometry of (Pseudo)Inverting a Matrix0
Neighborhood Watch in Mechanics: Nonlocal Models and Convolution0
Surprises in a Classic Boundary-Layer Problem0
A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau0
Getting the Lay of the Land in Discrete Space: A Survey of Metric Dimension and Its Applications0
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint0
Research Spotlights0
Dynamics of Signaling Games0
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