Communication in Statistics- Theory and Methods Journal Citation Rate 2026
0361-0926
eISSN 1532-415X
Taylor & Francis
US
Q3 Quartile
About Communication in Statistics- Theory and Methods
Communication in Statistics- Theory and Methods (CSTM) is a peer-reviewed academic journal covering Advanced Statistical Methods and Models and Bayesian Methods and Mixture Models, published by Taylor & Francis in US, catalogued under ISSN 0361-0926 (e-ISSN 1532-415X). As of 2026, it has a 2025 2-Year Citation Rate (OpenAlex) of 0.60 (Q3 quartile) — the average number of citations its recent articles received over a two-year window, computed from OpenAlex open citation data, not the Clarivate (JCR) Impact Factor. It operates a subscription model. It is indexed in the ABDC list (rating B), among the databases we track. OpenAlex records 14,313 works and 158,800 citations, with an h-index of 123.
Communication in Statistics- Theory and Methods Citation Rate 2026 — In Context
Communication in Statistics- Theory and Methods has a 2025 2-Year Citation Rate (OpenAlex) of 0.60, placing it in the Q3 quartile within the Advanced Statistical Methods and Models research area. This is the average number of citations the journal's recent articles received over a two-year window, computed from OpenAlex open citation data — not the Clarivate (JCR) Journal Impact Factor.
Communication in Statistics- Theory and Methods operates a subscription-based publishing model — readers access articles through institutional subscriptions or pay-per-view.
Researchers looking to publish in Communication in Statistics- Theory and Methods should review the journal's submission tips and verify the latest indexing status against Scopus, DOAJ, and Web of Science using our indexing tracker. To compare Communication in Statistics- Theory and Methods against similar journals in the field, use our journal comparison tool.
Submission Tips for Communication in Statistics- Theory and …
- This journal covers Advanced Statistical Methods and Models, Bayesian Methods and Mixture Models, Statistical Distribution Estimation and Applications. Ensure your manuscript aligns with these scope areas to avoid desk rejection.
How Communication in Statistics- … Compares
Compared against 23 journals in the same research areas.
| ISSN (Print) | 0361-0926 |
|---|---|
| ISSN (Online) | 1532-415X |
| Publisher | Taylor & Francis |
| Country | United States |
| APC / Cost | Inquire with Publisher |
In-depth profile & metrics
Communication in Statistics- Theory and Methods is published by Taylor & Francis and based in United States.
In our subject taxonomy, Communication in Statistics- Theory and Methods is classified under Advanced Statistical Methods and Models, Bayesian Methods and Mixture Models, Statistical Distribution Estimation and Applications and Statistical Methods and Bayesian Inference.
Communication in Statistics- Theory and Methods is indexed in OpenAlex and carries an ABDC rating of B (2025). OpenAlex tracking provides an open, citable record of its output even where commercial indexing is absent.
Its most recent citation rate stands at 0.604.
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Live Indexing Status
Updated May 2026Track real-time indexing metrics to ensure this journal meets your academic requirements.
Citation Rate
Historical Trend
Initial data points onlyCitation Rate by Year
| Year | Value | Source |
|---|---|---|
| 2025 | 0.604 | 2-Year Mean Citedness (OpenAlex) |
Metrics are sourced from OpenAlex, DOAJ and Scopus and reflect the latest data we hold. The headline figure is a 2-year citation rate (OpenAlex), not a Clarivate Impact Factor. Always verify against the journal's official site before relying on it. See our Methodology or report a correction.
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Metadata
Last updated: May 11, 2026
Updated by: openalex_bulk
OpenAlex ID: S128350725
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