Wiley Interdisciplinary Reviews: Computational Statistics
John Wiley & Sons Inc. · United States · Est. 1999
Aims & Scope✦ Inferred from recent articles
This journal focuses on computational statistics, covering topics such as high-dimensional data analysis, functional graphical models, text mining for bibliometrics, sufficient dimension reduction, contrastive dimension reduction, subgroup identification, modal regression, Bayesian model comparison, statistical process monitoring of functional data, optimal transport methods, quantile regression, causal machine learning, and knowledge distillation. It also addresses high-performance statistical computing and the application of evolutionary algorithms in data science.
AI-summarised from recent articles · verify on publisher page →
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Subject Classification
Scopus Categories
Research Topics (OpenAlex)
You May Also Like
See all →Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref