International Statistical Review

Wiley

Journal websitePeer review: Peer review
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About the journal

International Statistical Review is a journal published by Wiley in United Kingdom. It is listed in PUBMED according to the sources read. Declared publication charge: 4,430 USD. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Wiley
ISSN
0306-7734 · 1751-5823
Country
United Kingdom
Access
Not open access / not declared
Declared publication charge
4,430 USD
Declared peer-review model
peer_review

Index listings

  • PUBMED · 2010-04-01
Indexing
PUBMED
APC
4,430 USD
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

2922

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

146

i10-index

992

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
75%
ORCID iDs in current deposits
63%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity4
Alternate titles
Revue internationale de statistique
Source type
journal
NLM unique ID (PubMed)
2983053R
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 Bayesian Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Advanced Statistical Methods and Models
  • Statistical Methods and Inference
  • Statistical Methods and Inference
  • Statistics Education and Methodologies
  • Statistics Education and Methodologies
Show all subjects (50)
  • Bayesian Methods and Mixture Models
  • Bayesian Methods and Mixture Models
  • Data Analysis with R
  • Data Analysis with R
  • Census and Population Estimation
  • Census and Population Estimation
  • Bayesian Modeling and Causal Inference
  • Bayesian Modeling and Causal Inference
  • Statistical Methods in Clinical Trials
  • Statistical Methods in Clinical Trials
  • Optimal Experimental Design Methods
  • Optimal Experimental Design Methods
  • Statistical Distribution Estimation and Applications
  • Statistical Distribution Estimation and Applications
  • Forecasting Techniques and Applications
  • Forecasting Techniques and Applications
  • Advanced Statistical Process Monitoring
  • Advanced Statistical Process Monitoring
  • Statistical Methods and Applications
  • Statistical Methods and Applications
  • Survey Sampling and Estimation Techniques
  • Survey Sampling and Estimation Techniques
  • Advanced Causal Inference Techniques
  • Financial Risk and Volatility Modeling
  • Financial Risk and Volatility Modeling
  • Advanced Causal Inference Techniques
  • Spatial and Panel Data Analysis
  • Spatial and Panel Data Analysis
  • Probability and Statistical Research
  • Probability and Statistical Research
  • Complex Systems and Time Series Analysis
  • Complex Systems and Time Series Analysis
  • Survey Methodology and Nonresponse
  • Survey Methodology and Nonresponse
  • Insurance, Mortality, Demography, Risk Management
  • Insurance, Mortality, Demography, Risk Management
  • Sensory Analysis and Statistical Methods
  • Sensory Analysis and Statistical Methods
  • Economic and Environmental Valuation
  • Economic and Environmental Valuation
  • Soil Geostatistics and Mapping
  • Soil Geostatistics and Mapping

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

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