The Journal of the American Statistical Association publishes research on statistical methodology and applications. Recent articles focus on developing and analyzing statistical methods for high-dimensional data, including collaborative analysis, factor modeling for time series, and mixed membership models for categorical data. The journal also covers topics such as differential privacy, network analysis, spatial modeling with Gaussian random fields, deep neural networks for regression, nonparametric estimation of treatment effects, and statistical inference for large-scale educational assessments.
AI-summarised from recent articles · verify on the publisher page
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
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.
Statistics and ProbabilityQ1
Statistics, Probability and UncertaintyQ1
Subject Classification
Web of Science Categories
Statistics & Probability
Scopus Categories
Statistics, Probability and UncertaintyStatistics and Probability
Research Topics (OpenAlex)
Advanced Statistical Methods and ModelsStatistical Methods and InferenceStatistical Methods and Bayesian InferenceBayesian Methods and Mixture ModelsStatistical Distribution Estimation and ApplicationsStatistical Methods in Clinical TrialsAdvanced Statistical Process MonitoringOptimal Experimental Design MethodsStatistics Education and MethodologiesCensus and Population Estimation