Biometrika publishes research on statistical theory and methodology, with a strong emphasis on the analysis of data. Recent articles focus on causal inference, including the estimation of treatment effects under various assignment mechanisms and the development of sensitivity analysis methods. The journal also features work on functional data analysis, network analysis, and statistical inference for complex data structures like graphs and high-dimensional settings. Methodological contributions include advancements in nonparametric inference, robust estimation, and efficient algorithms for statistical modeling and simulation.
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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.
Agricultural and Biological Sciences (miscellaneous)Q1
Applied MathematicsQ1
Mathematics (miscellaneous)Q1
Statistics and ProbabilityQ1
Statistics, Probability and UncertaintyQ1
Subject Classification
Web of Science Categories
BiologyMathematical & Computational BiologyStatistics & Probability
Scopus Categories
Mathematics (miscellaneous)Applied MathematicsAgricultural and Biological Sciences (miscellaneous)Statistics, Probability and UncertaintyStatistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceAdvanced Statistical Methods and ModelsStatistical Methods and Bayesian InferenceBayesian Methods and Mixture ModelsOptimal Experimental Design MethodsStatistical Distribution Estimation and ApplicationsStatistical Methods in Clinical TrialsAdvanced Statistical Process MonitoringAdvanced Causal Inference TechniquesFinancial Risk and Volatility Modeling