Journal of the Royal Statistical Society. Series C: Applied Statistics

SJR Rank #7,776H-index: 85SJR: 0.734Best quartile: Q2APC: US$3,456
Journal website: aims, scope and author guidelines
Publisher

Oxford University Press

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Statistics and ProbabilityQ2
  • Statistics, Probability and UncertaintyQ2

Areas: Decision Sciences · Mathematics

Most published research topics

Advanced Statistical Methods and ModelsStatistical Methods and Bayesian InferenceStatistical Methods and InferenceBayesian Methods and Mixture ModelsStatistical Methods in Clinical TrialsOptimal Experimental Design MethodsAdvanced Statistical Process MonitoringStatistical Distribution Estimation and ApplicationsAdvanced Causal Inference TechniquesStatistics Education and Methodologies

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs060120180240

Documents per Year

202220250255075100

Detailed Information

ISSN

0035-9254, 1467-9876

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

1.42

References per Document

40.93

Coverage

1981, 1983-1991, 1993, 1996-2026

Scope

Series C (Applied Statistics) promotes papers that are focused on statistical methods for real life problems. Applications should be central to papers, rather than illustrative, to motivate the work and to justify any methodological developments. All papers should feature an adequate description of a substantial application and a justification for any new theory. Case-studies may be particularly appropriate and should include some contextual details, though there should also be a novel statistical contribution, for instance by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to solve challenging applied problems. Papers describing interdisciplinary work are especially welcome, as are those that give interesting novel applications of existing methodology or provide new insights into the practical application of methods, and papers explaining innovative analysis of generic applied problems but not necessarily focused on a particular application also have a place in Series C. Short communications may also be appropriate. Methodological papers that are not motivated by a genuine application are not acceptable; nor are papers that include only brief numerical illustrations or that mainly describe simulation studies of properties of statistical techniques. However, papers describing developments in statistical computing are encouraged, provided that they are driven by practical examples. Extended algebraic treatment should be avoided.

Metrics from SCImago Journal Rank 2025. View on SCImago