Journal of Applied Statistics

Taylor & Francis

Journal websitePeer review: Peer review
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About the journal

Journal of Applied Statistics is a journal published by Taylor & Francis 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
Taylor & Francis
ISSN
0266-4763 · 1360-0532
Country
United Kingdom
Access
Not open access / not declared
Declared peer-review model
peer_review

Index listings

  • PUBMED · 2009-07-07
Indexing
PUBMED
APC
—
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

5217

Last recorded publication year

2026

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

h-index

100

i10-index

1660

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
99%
ORCID iDs in current deposits
40%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity3
Alternate titles
Applied statistics
Source type
journal
NLM unique ID (PubMed)
9883455
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

  • Advanced Statistical Methods and Models
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Inference
  • Statistical Distribution Estimation and Applications
  • Statistical Distribution Estimation and Applications
Show all subjects (50)
  • Bayesian Methods and Mixture Models
  • Bayesian Methods and Mixture Models
  • Advanced Statistical Process Monitoring
  • Advanced Statistical Process Monitoring
  • Optimal Experimental Design Methods
  • Optimal Experimental Design Methods
  • Statistical Methods in Clinical Trials
  • Statistical Methods in Clinical Trials
  • Financial Risk and Volatility Modeling
  • Financial Risk and Volatility Modeling
  • Probabilistic and Robust Engineering Design
  • Probabilistic and Robust Engineering Design
  • Spectroscopy and Chemometric Analyses
  • Monetary Policy and Economic Impact
  • Monetary Policy and Economic Impact
  • Spectroscopy and Chemometric Analyses
  • Scientific Measurement and Uncertainty Evaluation
  • Scientific Measurement and Uncertainty Evaluation
  • Advanced Causal Inference Techniques
  • Advanced Causal Inference Techniques
  • Spatial and Panel Data Analysis
  • Spatial and Panel Data Analysis
  • Complex Systems and Time Series Analysis
  • Complex Systems and Time Series Analysis
  • Hydrology and Drought Analysis
  • Soil Geostatistics and Mapping
  • Hydrology and Drought Analysis
  • Soil Geostatistics and Mapping
  • Market Dynamics and Volatility
  • Market Dynamics and Volatility
  • Forecasting Techniques and Applications
  • Fault Detection and Control Systems
  • Fault Detection and Control Systems
  • Forecasting Techniques and Applications
  • Economic and Environmental Valuation
  • Economic and Environmental Valuation
  • Insurance, Mortality, Demography, Risk Management
  • Insurance, Mortality, Demography, Risk Management
  • Gene expression and cancer classification
  • Gene expression and cancer classification
  • Sensory Analysis and Statistical Methods
  • Genetic and phenotypic traits in livestock

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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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