Journal of the Royal Statistical Society Series B (Statistical Methodology)
Oxford University Press
About the journal
Journal of the Royal Statistical Society Series B (Statistical Methodology) is a journal published by Oxford University Press in United Kingdom. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Oxford University Press
- ISSN
- 1369-7412 · 1467-9868
- Country
- United Kingdom
- Access
- Not open access / not declared
- Official website
- https://academic.oup.com/jrsssb
Index listings
- PUBMED · 2003-08-01
- Indexing
- PUBMED
- APC
- —
- Declared review time (DOAJ)
- —
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
- Counts for promotion at your university?
- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
Details of the evaluation under the published methodology are shown to signed-in users (free).
Create a free account to view the evaluationJournal profile
Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
4201
Last recorded publication year
2026
h-index
310
i10-index
2562
From OpenAlex open data (CC0).
Editorial & policy5
- Observed digital preservation (Keepers registry)— snapshot 2026-09-21
- CLOCKSSPortico
- Norwegian register (HK-dir)— 2027
- Level 2 — top tier (~20% of the field's channels)
- Open references deposited at Crossref
- 84%
- ORCID iDs in current deposits
- 73%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity4
- Alternate titles
- Statistical methodology
- Source type
- journal
- NLM unique ID (PubMed)
- 100890344
- Society affiliations
- Royal Statistical Society
Classification(no data)
No data available to the platform for this group
No platform data for: Classification — absence is not a judgment about the journal.
Subject areas
- Statistical Methods and Inference
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
Show all subjects (50)
- Optimal Experimental Design Methods
- Optimal Experimental Design Methods
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
- Bayesian Modeling and Causal Inference
- Bayesian Modeling and Causal Inference
- Statistical Methods in Clinical Trials
- Statistical Methods in Clinical Trials
- Advanced Statistical Process Monitoring
- Advanced Statistical Process Monitoring
- Advanced Causal Inference Techniques
- Advanced Causal Inference Techniques
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Statistical and numerical algorithms
- Statistical and numerical algorithms
- Soil Geostatistics and Mapping
- Soil Geostatistics and Mapping
- Control Systems and Identification
- Control Systems and Identification
- Probabilistic and Robust Engineering Design
- Probabilistic and Robust Engineering Design
- Markov Chains and Monte Carlo Methods
- Markov Chains and Monte Carlo Methods
- Spectroscopy and Chemometric Analyses
- Spectroscopy and Chemometric Analyses
- Advanced Multi-Objective Optimization Algorithms
- Advanced Multi-Objective Optimization Algorithms
- Spatial and Panel Data Analysis
- Spatial and Panel Data Analysis
- Statistical Mechanics and Entropy
- Gaussian Processes and Bayesian Inference
- Statistical Mechanics and Entropy
- Gaussian Processes and Bayesian Inference
- Sensory Analysis and Statistical Methods
- Sensory Analysis and Statistical Methods
- Complex Systems and Time Series Analysis
- Complex Systems and Time Series Analysis
- Forecasting Techniques and Applications
- Forecasting Techniques and Applications
- Diverse Scientific and Economic Studies
- Diverse Scientific and Economic Studies
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ