Home > Journals > Annual Review of Statistics and Its Application Impact Factor, Quartile, Indexing, Ranking

Annual Review of Statistics and Its Application Impact Factor, Quartile, Indexing, Ranking

Annual Review of Statistics and Its Application Impact Factor, Indexing, Ranking

Annual Review of Statistics and Its Application (ARSIA) is a scholarly journal dedicated to publishing research in the field of Mathematics, and Published by Annual Reviews. The Print-ISSN of Annual Review of Statistics and Its Application is 2326-8298 and its abbreviation is Annu Rev Stat Appl.

The latest Impact Factor of the Annual Review of Statistics and Its Application for 2024-2025 is 7.9.

There are no fees payable (APC) to submit or publish in this journal.

Annual Review of Statistics and Its Application Aim and Scope

The Annual Review of Statistics and Its Application informs statisticians, and users of statistics about major methodological advances and the computational tools that allow for their implementation.

The Annual Review of Statistics and Its Application debuted in the 2016 Release of the Journal Citation Report (JCR) with an Impact Factor of 3.045. View more information, including the complete list of journal Impact Factors and category rankings.

Annual Review of Statistics and Its Application Details
Journal title Annual Review of Statistics and Its Application (ARSIA)
Abbreviation Annu Rev Stat Appl
Print ISSN 2326-8298
Online ISSN 2326-831X
Publisher Name Annual Reviews
Editor-in-chief Nancy Reid
Subject Category Mathematics
Access type Hybrid
Status 🟢 Active

Annual Review of Statistics and Its Application Metrics and Rankings

In the context of academic journals, "Metrics and Rankings" refer to various measures and evaluations used to assess the quality, influence, and impact of a journal.

Below are the metrics and rankings for the journal Annual Review of Statistics and Its Application

Impact Factor 7.9
SJR 3.896
SNIP 5.489
Ranking 639
CiteScore 14.0
H-Index 39
Quartile Q1
Annual Review of Statistics and Its Application Impact Factor List

Annual Review of Statistics and Its Application Abstracting and Indexing

Abstracting and Indexing (A&I) refers to the processes that help organize and categorize academic journals, making them easier to find and access for researchers and scholars

Abstracting and Indexing

Annual Review of Statistics and Its Application Submission

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Annual Review of Statistics and Its Application Sources
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