Ranking & Metrics
Rank:
#5171H Index:
126SJR:
0,877Ref Doc:
41,14Quartile:
Q1Coverage:
1983-2023Total Refs:
7241Journal Information
Computational Statistics and Data Analysis
01679473
Elsevier
Applied Mathematics
Computational Theory and Mathematics
Netherlands
Western Europe
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Aims & Scope of the Journal
Computational Statistics and Data Analysis is a research journal that publishes research related to Computational Theory and Mathematics. This journal is published by the Elsevier. The ISSN of this journal is 01679473. Based on the Scopus data, the SCImago Journal Rank (SJR) of Computational Statistics and Data Analysis is 0,877.
Also, check the other important details below like Publisher, ISSN, Ranking, Indexing, Impact Factor (if applicable), Publication fee (APC), Review Time, and Acceptance Rate of Computational Statistics and Data Analysis.
According to Clarivate's JCR, the journals indexed in SCIE/SSCI have an impact factor.
How to publish in Computational Statistics and Data Analysis
This journal covers the fields/ categories related to Computational Theory and Mathematics. If your research field is related to Computational Theory and Mathematics, then visit the official website of Computational Statistics and Data Analysis and send your manuscript.
Tips for publishing in Computational Statistics and Data Analysis:
- - Selection of research problem.
- - Presenting a solution.
- - Designing the paper.
- - Make your manuscript publication worthy.
- - Write an effective results section.
- - Mind your references.
Acceptance Rate
Acceptance rate is the ratio of the number of articles submitted to the number of articles published. Researchers can check the acceptance rate on the journal website. Even you can Contact the editor of the journal.
Journal Publication Time
Journals usually ask reviewers to provide their reviews within 3-4 weeks. However, few journals have a mechanism to enforce the deadline, which is why it can be hard to predict how long the peer review process will take.
The review time also depends upon the quality of a research paper.