OOIR: Observatory of International Research

Papers

(The TQCC of SIAM Review is 5. 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 2020-11-01 to 2024-11-01.)

Article	Citations
DeepXDE: A Deep Learning Library for Solving Differential Equations	938
Modern Koopman Theory for Dynamical Systems	166
The Why, How, and When of Representations for Complex Systems	133
Maximum Bound Principles for a Class of Semilinear Parabolic Equations and Exponential Time-Differencing Schemes	127
Understanding Graph Embedding Methods and Their Applications	92
What Are Higher-Order Networks?	73
Stochastic Control Liaisons: Richard Sinkhorn Meets Gaspard Monge on a Schrödinger Bridge	53
Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists	28
Vandermonde with Arnoldi	27
Computing Spectral Measures of Self-Adjoint Operators	27
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods	25
Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review	25
Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations	20
Persistent Homology of Geospatial Data: A Case Study with Voting	20
Scalable Load Balancing in Networked Systems: A Survey of Recent Advances	19
Coupling Techniques for Nonlinear Ensemble Filtering	18
Improving the Accuracy of the Trapezoidal Rule	16
Exactness of Quadrature Formulas	15
A General Framework for Fractional Order Compartment Models	13
Geometric Quasilinearization Framework for Analysis and Design of Bound-Preserving Schemes	13
A Strong Law of Large Numbers for Scrambled Net Integration	13
Hypergraph Cuts with General Splitting Functions	12
Computation and Applications of Mathieu Functions: A Historical Perspective	12
Randomized Reference Models for Temporal Networks	12
Neural ODE Control for Classification, Approximation, and Transport	11

Supraconservative Finite-Volume Methods for the Euler Equations of Subsonic Compressible Flow	10
Finite Element Methods Respecting the Discrete Maximum Principle for Convection-Diffusion Equations	10
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm	10
Sparse Approximations with Interior Point Methods	9
A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau	9
Bilinear Optimal Control of an Advection-Reaction-Diffusion System	9
NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators	9
Learning Dynamical Systems with Side Information	8
Variance and Covariance of Distributions on Graphs	8
Does the Helmholtz Boundary Element Method Suffer from the Pollution Effect?	7
What Tropical Geometry Tells Us about the Complexity of Linear Programming	7
Newton's Method in Mixed Precision	7
Getting the Lay of the Land in Discrete Space: A Survey of Metric Dimension and Its Applications	6
Hawkes Processes Modeling, Inference, and Control: An Overview	6
The Dynamics of Bilateral Olfactory Search and Navigation	6
Flow and Elastic Networks on the ?-Torus: Geometry, Analysis, and Computation	6
Optimization of the Mean First Passage Time in Near-Disk and Elliptical Domains in 2-D with Small Absorbing Traps	6
Bayesian Inverse Problems Are Usually Well-Posed	5
An Introductory Review on A Posteriori Error Estimation in Finite Element Computations	5