OOIR: Observatory of International Research

Papers

(The H4-Index of SIAM Journal on Mathematics of Data Science is 13. 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.)

Article	Citations
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization	43
A Simple and Optimal Algorithm for Strict Circular Seriation	31
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms	30
Spectral Barron Space for Deep Neural Network Approximation	28
On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions	25
Randomized Nyström Approximation of Non-negative Self-Adjoint Operators	23
A Note on the Regularity of Images Generated by Convolutional Neural Networks	23
New Equivalences between Interpolation and SVMs: Kernels and Structured Features	22
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning	18
Resolving the Mixing Time of the Langevin Algorithm to Its Stationary Distribution for Log-Concave Sampling	17
Block Majorization Minimization with Extrapolation and Application to \({\beta }\)-NMF	17
Efficient Algorithms for Regularized Nonnegative Scale-Invariant Low-Rank Approximation Models	14
Learning Functions Varying along a Central Subspace	14
Deep Block Proximal Linearized Minimization Algorithm for Nonconvex Inverse Problems	13
Online Machine Teaching under Learner Uncertainty: Gradient Descent Learners of a Quadratic Loss	13
Nonlinear Tomographic Reconstruction via Nonsmooth Optimization	13
Quantitative Approximation Results for Complex-Valued Neural Networks	13
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning	13