Statistical Journal of the IAOS

IOS Press

Not yet evaluated

About the journal

Statistical Journal of the IAOS is a journal published by IOS Press in Netherlands. 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
IOS Press
ISSN
1874-7655 · 1875-9254
Country
Netherlands
Access
Not open access / not declared

Index listings

  • PUBMED · 2019-08-26
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

1446

Last recorded publication year

2026

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

h-index

30

i10-index

150

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
93%
ORCID iDs in current deposits
67%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity2
Alternate titles
Statistical journal of the International Association for Official Statistics
Source type
journal
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

  • Census and Population Estimation
  • Census and Population Estimation
  • demographic modeling and climate adaptation
  • demographic modeling and climate adaptation
  • Data Quality and Management
  • Data-Driven Disease Surveillance
  • Data Quality and Management
  • Data-Driven Disease Surveillance
Show all subjects (50)
  • Statistics Education and Methodologies
  • Statistics Education and Methodologies
  • Survey Methodology and Nonresponse
  • Survey Methodology and Nonresponse
  • Income, Poverty, and Inequality
  • Income, Poverty, and Inequality
  • Data Analysis with R
  • Data Analysis with R
  • COVID-19 epidemiological studies
  • COVID-19 epidemiological studies
  • Statistical Methods and Bayesian Inference
  • Human Mobility and Location-Based Analysis
  • Statistical Methods and Bayesian Inference
  • Diverse Scientific and Economic Studies
  • Diverse Scientific and Economic Studies
  • Privacy-Preserving Technologies in Data
  • Big Data and Business Intelligence
  • Big Data and Business Intelligence
  • Privacy-Preserving Technologies in Data
  • Human Mobility and Location-Based Analysis
  • Health disparities and outcomes
  • Health disparities and outcomes
  • Insurance, Mortality, Demography, Risk Management
  • Spatial and Panel Data Analysis
  • Spatial and Panel Data Analysis
  • Insurance, Mortality, Demography, Risk Management
  • Monetary Policy and Economic Impact
  • Monetary Policy and Economic Impact
  • Statistical Methods and Inference
  • Statistical Methods and Inference
  • Economic, financial, and policy analysis
  • Food Security and Health in Diverse Populations
  • Agricultural risk and resilience
  • Food Security and Health in Diverse Populations
  • Economic, financial, and policy analysis
  • Agricultural risk and resilience
  • Urban, Neighborhood, and Segregation Studies
  • Advanced Statistical Methods and Models
  • Healthcare Policy and Management
  • Advanced Statistical Methods and Models
  • Urban, Neighborhood, and Segregation Studies
  • Healthcare Policy and Management

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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

Last automated source read: