
Academic Journal
Q1SIAM-ASA Journal on Uncertainty Quantification
About SIAM-ASA Journal on Uncertainty Quantification
About SIAM-ASA Journal on Uncertainty Quantification
SIAM-ASA Journal on Uncertainty Quantification is a peer-reviewed scholarly journal published by Society for Industrial and Applied Mathematics Publications (United States). It focuses on Q1. Publication coverage spans 2013-2026.
Key indicators: ISSN 2166-2525; H-index 43.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
- H-index (43): 43 articles have each received at least 43 citations, indicating growing recognition.
Publishing in SIAM-ASA Journal on Uncertainty Quantification
When considering this journal, verify its current indexing status, editorial board, and recent publications to ensure it meets your needs for visibility and credibility.
- Scope fit: Confirm your research aligns with Q1. Off-scope manuscripts are typically desk-rejected quickly.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
- Submission: Submit via the official journal website.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of SIAM-ASA Journal on Uncertainty Quantification?
2166-2525.
Who publishes SIAM-ASA Journal on Uncertainty Quantification?
Society for Industrial and Applied Mathematics Publications.
What are SIAM-ASA Journal on Uncertainty Quantification's metrics?
H-index 43.
Where do I submit to SIAM-ASA Journal on Uncertainty Quantification?
Via the official website.
Is SIAM-ASA Journal on Uncertainty Quantification peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Source-backed journal facts
Topics in published research
Probabilistic and Robust Engineering Design; Advanced Multi-Objective Optimization Algorithms; Gaussian Processes and Bayesian Inference; Model Reduction and Neural Networks; Markov Chains and Monte Carlo Methods; Statistical Methods and Inference.
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.
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Matthias Deiml, Daniel Peterseim
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Liang Ding, Simon Mak, C. F. Jeff Wu
2026-12-31 · DOI: 10.1137/25m1790270Optimal Low-Rank Posterior Covariance Approximation in Linear Gaussian Inverse Problems on Hilbert Spaces
Giuseppe Carere, Han Cheng Lie
2026-12-31 · DOI: 10.1137/25m1784491Quasi-Monte Carlo Methods for Uncertainty Quantification of Tumor Growth Modeled by a Parametric Semilinear Parabolic Reaction-diffusion Equation
Alexander D. Gilbert, Frances Y. Kuo, Dirk Nuyens, Graham Pash et al.
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2026-09-30 · DOI: 10.1137/24m1690382Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations
Tian Bai, Dianpeng Wang, Kuangqi Chen, Xu He et al.
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Thomas Dixon, Alex A. Gorodetsky, John Jakeman, Akil Narayan et al.
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Daniel G. Claassen, Thomas Stemler, Edward Cripps, Michael Bertolacci et al.
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2026-09-30 · DOI: 10.1137/25m1770205The Evolution of Pointwise Statistics in Hyperbolic Equations with Random Data
Alina Chertock, Pierre Degond, Amir Sagiv, Li Wang et al.
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Fengyi Li, Ricardo Baptista, Youssef Marzouk
2026-09-30 · DOI: 10.1137/25m1740164An Interpretation of the Brownian Bridge as a Physics-Informed Prior for the Poisson Equation
Alex Alberts, Ilias Bilionis
2026-09-30 · DOI: 10.1137/25m1756831Scalability of the Second-Order Reliability Method for Stochastic Differential Equations with Multiplicative Noise
Timo Schorlepp, Tobias Grafke
2026-09-30 · DOI: 10.1137/25m1743867Nonparametric Estimation in SDE Models Involving an Explanatory Process
Fabienne Comte, Nicolas Marie
2026-09-30 · DOI: 10.1137/25m1780778Efficient Sampling for Sparse Bayesian Learning Using Hierarchical Prior Normalization
Jan Glaubitz, Youssef M. Marzouk
2026-09-30 · DOI: 10.1137/25m1790427Reviews
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Version History
October 9, 2026 at 8:32 pm
September 25, 2026