Academic Journal
Q1Journal of the Royal Statistical Society Series C (Applied Statistics)
About Journal of the Royal Statistical Society Series C (Applied Statistics)
About Journal of the Royal Statistical Society Series C (Applied Statistics)
Journal of the Royal Statistical Society Series C (Applied Statistics) is a peer-reviewed scholarly journal published by Oxford University Press.
Key indicators: ISSN 00359254, 14679876.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
Publishing in Journal of the Royal Statistical Society Series C (Applied Statistics)
When considering this journal, verify its current indexing status, editorial board, and recent publications to ensure it meets your needs for visibility and credibility.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
- Submission: Submit via the official journal website.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of Journal of the Royal Statistical Society Series C (Applied Statistics)?
00359254, 14679876.
Who publishes Journal of the Royal Statistical Society Series C (Applied Statistics)?
Oxford University Press.
Where do I submit to Journal of the Royal Statistical Society Series C (Applied Statistics)?
Via the official website.
Is Journal of the Royal Statistical Society Series C (Applied Statistics) peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Journal Metrics
A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
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Hortense Doms, Philippe Lambert, Catherine Legrand
2026-07-08 · DOI: 10.1093/jrsssc/qlag036Bayesian hidden Markov model with time-to-event emissions for risk-prediction in cancer screening
Aapeli Nevala, Sirpa Heinävaara, Tytti Sarkeala, Sangita Kulathinal et al.
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Daniela Corbetta, Livio Finos, Ludwig Geistlinger, Davide Risso et al.
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2026-06-24 · DOI: 10.1093/jrsssc/qlag033Reviews
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Version History
October 10, 2026 at 7:18 pm
October 9, 2026