Journal of the Royal Statistical Society. Series A: Statistics in Society

Aims & Scope

Series A (Statistics in Society) publishes high quality papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general.

There is no restriction on subject-matter: any interesting, topical and revelatory applications of statistics are welcome.

For example, important applications of statistical and related data science methodology in medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport all fall within the journal's remit.

The journal is therefore aimed at a wide statistical audience and at professional statisticians in particular.

Its emphasis is on well-written and clearly reasoned quantitative approaches to problems in the real world rather than the exposition of technical detail.

Thus, although the methodological basis of papers must be sound and adequately explained, methodology per se should not be the main focus of a Series A paper.

Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or exposés of current statistical concerns and papers which demonstrate how appropriate statistical thinking has contributed to our understanding of important substantive questions.

Historical, professional and biographical contributions are also welcome, as are discussions of methods of data collection and of ethical issues, provided that all such papers have substantial statistical relevance.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.6
2024	1.50

SJR (SCImago Journal Rank)

Year	Value
2024	0.919

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	97

Journal Rank

Year	Value
2024	5524

Journal Citation Indicator

Year	Value
2024	547

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences, Economics, Econometrics and Finance, Mathematics and Social Sciences, designed to support cutting-edge academic discovery.

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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.

• A Re-Evaluation of Random-Effects Meta-Analysis

  Citation: 1946

  Authors: Julian P. T., Simon G., David J.

• ggplot2: Elegant Graphics for Data Analysis

  Citation: 1157

  Authors: Cedric

• Visualization in Bayesian Workflow

  Citation: 799

  Authors: Jonah, Daniel, Aki, Michael, Andrew

• Model Uncertainty, Data Mining and Statistical Inference

  Citation: 774

  Authors: Chris

• League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance

  Citation: 664

  Authors: Harvey, David J.

• Misunderstandings Between Experimentalists and Observationalists about Causal Inference

  Citation: 645

  Authors: Kosuke, Gary, Elizabeth A.

• Uncertainty and Sensitivity Analysis Techniques as Tools for the Quality Assessment of Composite Indicators

  Citation: 623

  Authors: M., A., S.

• Statistical Classification Methods in Consumer Credit Scoring: A Review

  Citation: 605

  Authors: D. J., W. E.

• Publication Bias: A Problem in Interpreting Medical Data

  Citation: 575

  Authors: Colin B., Jesse A.

• Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic

  Citation: 546

  Authors: Martin

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