Biometrika
Published by Oxford University Press
ISSN : 0006-3444 eISSN : 1464-3510
Abbreviation : Biometrika
Aims & Scope
Biometrika is primarily a journal of statistics in which emphasis is placed on papers containing original theoretical contributions of direct or potential value in applications.
From time to time, papers in bordering fields are also published.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.8 |
2024 | 2.40 |
Journal Rank
Year | Value |
---|---|
2024 | 514 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 855 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 3.605 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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The central role of the propensity score in observational studies for causal effects
Citation: 21002
Authors: PAUL R., DONALD B.
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Longitudinal data analysis using generalized linear models
Citation: 13360
Authors: KUNG-YEE, SCOTT L.
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Monte Carlo sampling methods using Markov chains and their applications
Citation: 10590
Authors: W. K.
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Regression and time series model selection in small samples
Citation: 4806
Authors: CLIFFORD M., CHIH-LING