About the journal
Austrian Journal of Statistics is an open-access journal published by Austrian Statistical Society in Austria, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 24 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Austrian Statistical Society
- ISSN
- 1026-597X
- Country
- Austria
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 757
- Declared review time
- 24 weeks
- Declared peer-review model
- peer_review
- Official website
- http://www.ajs.or.at
Index listings
- DOAJ · 2015-05-13
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 24 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2025
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
757
Most recent article
16 months ago
Average review time (journal-declared via DOAJ)
24weeks
Works in OpenAlex
624
Last recorded publication year
2025
h-index
29
i10-index
109
From OpenAlex open data (CC0).
Editorial & policy10
- Last DOAJ review date
- 2026-05-04
- Added to DOAJ
- 2015-05-13
- Declared plagiarism screening
- Not declared
- Other fees beyond APC
- No
- Editorial board
- Official page ↗
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 0%
- ORCID iDs in current deposits
- 17%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification4
Subjects (DOAJ)
LCC codes
Subject areas
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
Show all subjects (50)
- Bayesian Methods and Mixture Models
- Bayesian Methods and Mixture Models
- Probabilistic and Robust Engineering Design
- Probabilistic and Robust Engineering Design
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Advanced Statistical Process Monitoring
- Advanced Statistical Process Monitoring
- Hydrology and Drought Analysis
- Hydrology and Drought Analysis
- Probability and Statistical Research
- Probability and Statistical Research
- Sports Science and Education
- Sports Science and Education
- Statistical Methods in Clinical Trials
- Multi-Criteria Decision Making
- Multi-Criteria Decision Making
- Reliability and Maintenance Optimization
- Statistical Methods in Clinical Trials
- Reliability and Maintenance Optimization
- Spatial and Panel Data Analysis
- Geochemistry and Geologic Mapping
- Geochemistry and Geologic Mapping
- Spatial and Panel Data Analysis
- Fault Detection and Control Systems
- Fault Detection and Control Systems
- Insurance, Mortality, Demography, Risk Management
- Insurance, Mortality, Demography, Risk Management
- Optimal Experimental Design Methods
- Bayesian Modeling and Causal Inference
- Bayesian Modeling and Causal Inference
- Fuzzy Systems and Optimization
- Fuzzy Systems and Optimization
- Optimal Experimental Design Methods
- Complex Systems and Time Series Analysis
- Complex Systems and Time Series Analysis
- Forecasting Techniques and Applications
- Probability and Risk Models
- Probability and Risk Models
- Forecasting Techniques and Applications
- Spectroscopy and Chemometric Analyses
- Spectroscopy and Chemometric Analyses
Keywords (DOAJ)
- official statistics
- applied statistics
- mathematical statistics
- computational statistics
- statistical methods
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