OOIR: Observatory of International Research

Papers

(The H4-Index of SIAM Journal on Optimization is 20. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Maximum A Posteriori Inference of Random Dot Product Graphs via Conic Programming	72
The Lovász Theta Function for Recovering Planted Clique Covers and Graph Colorings	60
An Approximation-Based Regularized Extra-Gradient Method for Monotone Variational Inequalities	54
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials	37
Convex Ternary Quartics Are SOS-Convex	36
Reducing Nonnegativity over General Semialgebraic Sets to Nonnegativity over Simple Sets	35
Variational Convexity of Functions and Variational Sufficiency in Optimization	31
Effective Front-Descent Algorithms with Convergence Guarantees	29
A Correlatively Sparse Lagrange Multiplier Expression Relaxation for Polynomial Optimization	27
High Probability Complexity Bounds for Adaptive Step Search Based on Stochastic Oracles	26
Convex Approximations of Random Constrained Markov Decision Processes	25
Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-Tailed Noise and Power of Symmetry	24
Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions	23
Optimal Self-Concordant Barriers for Quantum Relative Entropies	22
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity	22
Occupation Measure Relaxations in Variational Problems: The Role of Convexity	21
Refined TSSOS	21
A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives	21
Fenchel Duality and a Separation Theorem on Hadamard Manifolds	21
Convex Bi-level Optimization Problems with Nonsmooth Outer Objective Function	21
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness	20