Austrian Journal of Statistics

Aims & Scope

The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society.

Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines.

The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more.

The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE.

Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims.

All papers will be refereed.

Special topics sections will appear from time to time.

Each section will have as a theme a specialized area of statistical application, theory, or methodology.

Technical notes or problems for considerations under Shorter Communications are also invited.

A special section is reserved for book reviews.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Apc url

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Decision Sciences and Mathematics, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Transmuted Rayleigh Distribution

  Citation: 77

  Authors: Faton

• Trends in Fuzzy Statistics

  Citation: 73

  Authors: S. Mahmoud

• The Mathematics of Compositional Analysis

  Citation: 67

  Authors: Carles, Josep-Antoni

• The Odd Lindley-G Family of Distributions

  Citation: 66

  Authors: Frank S., Ana, Edleide de, Manoel W., Ronaldo, Gauss Moutinho

• Compositional uncertainty should not be ignored in high-throughput sequencing data analysis

  Citation: 56

  Authors: Gregory Brian, Jean M., Michael, Andrew D.

• Identification of Multivariate Outliers: A Performance Study

  Citation: 47

  Authors: Peter

• Linear Association in Compositional Data Analysis

  Citation: 43

  Authors: Juan José, Vera, Gregory B.

• Comparing Spike and Slab Priors for Bayesian Variable Selection

  Citation: 40

  Authors: Gertraud, Helga

• Modified Exponential Ratio and Product Estimators for Finite Population Mean in Double Sampling

  Citation: 36

  Authors: Housila P., Gajendra K.

• Process Capability Indices as Fuzzy Numbers

  Citation: 36

  Authors: Abbas, Mashaallah, Ali Reza, Hamid Reza