The Scandinavian Journal of Statistics publishes research on statistical theory and methods, including areas such as longitudinal data analysis, nonparametric inference, survival analysis, and high-dimensional statistics. Articles frequently address challenges in areas like variable selection, density estimation, regression with censored outcomes, and dependence testing. Applications are drawn from fields including biomedical research, genetics, and network analysis.
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 UncertaintyQ2
Subject Classification
Web of Science Categories
Statistics & Probability
Scopus Categories
Statistics, Probability and UncertaintyStatistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceStatistical Methods and Bayesian InferenceBayesian Methods and Mixture ModelsAdvanced Statistical Methods and ModelsStatistical Distribution Estimation and ApplicationsFinancial Risk and Volatility ModelingStatistical Methods in Clinical TrialsAdvanced Causal Inference TechniquesStochastic processes and financial applicationsAdvanced Statistical Process Monitoring