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

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

Q1 Journal Journal
Country
United Kingdom
Western Europe
Subject Area and Category
Decision Sciences
Social Sciences (miscellaneous) Q1
Statistics and Probability Q1
Statistics, Probability and Uncertainty Q1
Citation Score 2025
0.890
Q1
Citation Score
H-Index
101
Citations / Doc (2yr)
1.63
Total Docs. (latest)
95
Total Citations (3yr)
523
Publication type
Journals
ISSN
09641998, 1467985X
Coverage
1988-2026
Journal Rank
#5,875
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Subject Categories

Social Sciences (miscellaneous) Q1
Statistics and Probability Q1
Statistics, Probability and Uncertainty Q1
Economics and Econometrics Q2

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.

Abstracting & Indexing

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Detailed Metrics

Total Docs. (latest) 95
Total Docs. (3 years) 302
Total Refs. 2,884
Total Citations (3 years) 523
Citable Docs. (3 years) 254
Citations / Doc. (2 years) 1.63
Ref. / Doc. 30.36
% Female 31.0%

Metrics Visualization

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Journal Information

Citation Score0.890
Best QuartileQ1
H Index101
ISSN09641998, 1467985X
PublisherOxford University Press
CountryUnited Kingdom
RegionWestern Europe
Coverage1988-2026
Open AccessNo
TypeJournal
Rank#5,875

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