
Academic Journal
Q1SIAM Journal on Mathematics of Data Science
About SIAM Journal on Mathematics of Data Science
SIAM Journal on Mathematics of Data Science is a scholarly journal published by Society for Industrial and Applied Mathematics Publications. SCImago 2025 lists it in Q1, with an SJR of 1.171 and H-index of 33.
Coverage: 2019-2026. Research categories: Applied Mathematics (Q1); Computational Mathematics (Q1); Statistics and Probability (Q1).
Source-backed journal facts
Topics in published research
Sparse and Compressive Sensing Techniques; Stochastic Gradient Optimization Techniques; Neural Networks and Applications; Statistical Methods and Inference; Model Reduction and Neural Networks; Markov Chains and Monte Carlo Methods.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
High-Dimensional Analysis of Ridge Regression for Non-identically Distributed Data with a Variance Profile
Jérémie Bigot, Issa-Mbenard Dabo, Camille Male
2026-09-30 · DOI: 10.1137/25m1754790PriME: Privacy-Aware Membership Profile Estimation in Networks
Abhinav Chakraborty, Sayak Chatterjee, Sagnik Nandy
2026-09-30 · DOI: 10.1137/24m1668779Generative Modeling by Minimizing the Wasserstein-2 Loss
Yu-Jui Huang, Zachariah Malik
2026-09-30 · DOI: 10.1137/24m167559xFunctional Adaptive Huber Linear Regression
Ling Peng, Xiaohui Liu, Heng Lian
2026-09-30 · DOI: 10.1137/24m171125xA Library of Mirrors: Deep Neural Nets in Low Dimensions Are Convex Lasso Models with Reflection Features
Emi Zeger, Yifei Wang, Aaron Mishkin, Tolga Ergen et al.
2026-09-30 · DOI: 10.1137/24m1707845Functional Multireference Alignment via Deconvolution
O. Al-Ghattas, A. Little, D. Sanz-Alonso, M. Sweeney et al.
2026-09-30 · DOI: 10.1137/25m1765602Subspace Langevin Monte Carlo
Tyler Maunu, Jiayi Yao
2026-09-30 · DOI: 10.1137/25m1739327Gromov–Wasserstein Barycenters: The Analysis Problem
Rocío Díaz Martín, Ivan V. Medri, James M. Murphy
2026-09-30 · DOI: 10.1137/25m1777116Greedy Construction of Quadratic Manifolds for Nonlinear Dimensionality Reduction and Nonlinear Model Reduction
Paul Schwerdtner, Benjamin Peherstorfer
2026-09-30 · DOI: 10.1137/25m1734531An Augmented Backward-Corrected Projector Splitting Integrator for Dynamical Low-Rank Training
Jonas Kusch, Steffen Schotthöfer, Alexandra Walter
2026-09-30 · DOI: 10.1137/25m1730673Gradient Is All You Need? How Consensus-Based Optimization Can Be Interpreted as a Stochastic Relaxation of Gradient Descent
Konstantin Riedl, Timo Klock, Carina Geldhauser, Massimo Fornasier et al.
2026-09-30 · DOI: 10.1137/25m1733409An Extrapolated and Provably Convergent Algorithm for Nonlinear Matrix Decomposition with the ReLU Function
Nicolas Gillis, Margherita Porcelli, Giovanni Seraghiti
2026-09-30 · DOI: 10.1137/25m1746859Can We Spot a Fake?
Shahar Mendelson, Grigoris Paouris, Roman Vershynin
2026-09-30 · DOI: 10.1137/25m1733562Beyond Linear: A Theoretical and Empirical Analysis of Nonlinear GNNs for Community Detection
Drake B. Brown, Trevor Garrity, Kaden Parker, Jason Oliphant et al.
2026-09-30 · DOI: 10.1137/24m1721621Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
Rajiv Sambharya, Bartolomeo Stellato
2026-09-30 · DOI: 10.1137/24m1712242Wasserstein Proximal Operators Describe Score-Based Generative Models and Resolve Memorization
Benjamin J. Zhang, Siting Liu, Wuchen Li, Markos A. Katsoulakis et al.
2026-09-30 · DOI: 10.1137/24m1644584Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems
Junwei Su, Chuan Wu, Le Zheng, Difan Zou et al.
2026-09-30 · DOI: 10.1137/24m1710425Gradient-Based Nonlinear Inverse Learning
Abhishake, Nicole Mücke, Tapio Helin
2026-09-30 · DOI: 10.1137/25m1735044Detection and Estimation of Vertexwise Latent Position Shifts Across Networks
Runbing Zheng
2026-09-30 · DOI: 10.1137/25m1734804On Bellman Equations for Continuous-Time Policy Evaluation: High-Order Discretization and Function Approximation
Wenlong Mou, Yuhua Zhu
2026-09-30 · DOI: 10.1137/24m170199xReviews
Community Reviews
Version History
September 25, 2026 at 7:45 am
September 25, 2026