Journal of Applied Statistics Citation Rate 2026
0266-4763
eISSN 1360-0532
Taylor & Francis
GB
Q3 Quartile
About Journal of Applied Statistics
Journal of Applied Statistics (JAS) is a peer-reviewed academic journal covering Advanced Statistical Methods and Models and Advanced Statistical Process Monitoring, published by Taylor & Francis in GB, catalogued under ISSN 0266-4763 (e-ISSN 1360-0532). As of 2026, it has a 2025 2-Year Citation Rate (OpenAlex) of 0.70 (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 5,235 works and 80,901 citations, with an h-index of 101.
Journal of Applied Statistics Citation Rate 2026 — In Context
Journal of Applied Statistics has a 2025 2-Year Citation Rate (OpenAlex) of 0.70, 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.
Journal of Applied Statistics operates a subscription-based publishing model — readers access articles through institutional subscriptions or pay-per-view.
Researchers looking to publish in Journal of Applied Statistics 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 Journal of Applied Statistics against similar journals in the field, use our journal comparison tool.
Submission Tips for Journal of Applied Statistics
- This journal covers Advanced Statistical Methods and Models, Advanced Statistical Process Monitoring, Statistical Distribution Estimation and Applications. Ensure your manuscript aligns with these scope areas to avoid desk rejection.
How Journal of Applied … Compares
Compared against 21 journals in the same research areas.
| ISSN (Print) | 0266-4763 |
|---|---|
| ISSN (Online) | 1360-0532 |
| Publisher | Taylor & Francis |
| Country | United Kingdom |
| APC / Cost | Inquire with Publisher |
| h-index | 101 |
| Total Works | 5,250 |
| Total Citations | 81,586 |
| 2-yr Mean Citedness | 0.96 (OpenAlex) |
In-depth profile & metrics
Journal of Applied Statistics is published by Taylor & Francis and based in United Kingdom.
In our subject taxonomy, Journal of Applied Statistics is classified under Advanced Statistical Methods and Models, Advanced Statistical Process Monitoring, Statistical Distribution Estimation and Applications and Statistical Methods and Bayesian Inference; across recent indexed output, the largest share is original research articles (94% of records), followed by book review (5%).
Journal of Applied Statistics 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.
OpenAlex records 5,250 works that have together drawn 81,586 citations, giving the journal an h-index of 101; its most recent citation rate stands at 0.695; OpenAlex puts its two-year mean citedness at 0.96.
Research Areas
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Frequently Asked Questions about Journal of Applied Statistics
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 | 0.695 | 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.
Works Published per Year (2014–2025)
Annual publication volume sourced from OpenAlex. Current year omitted (partial data).
Publication & citation history by year
| Year | Works published | Citations received |
|---|---|---|
| 2025 | 177 | 130 |
| 2024 | 131 | 268 |
| 2023 | 94 | 427 |
| 2022 | 139 | 790 |
| 2021 | 225 | 1,803 |
| 2020 | 252 | 2,847 |
| 2019 | 205 | 2,805 |
| 2018 | 136 | 2,000 |
| 2017 | 125 | 1,402 |
| 2016 | 273 | 3,728 |
| 2015 | 235 | 2,332 |
| 2014 | 172 | 2,180 |
Journal at a Glance
Source: OpenAlex — refreshed daily.
Top Research Topics
The areas where Journal of Applied Statistics most frequently publishes, ranked by article volume. Click a topic to see the best journals for it.
Recently Published Papers
A sample of the most recent works published in Journal of Applied Statistics, sourced from OpenAlex.
-
Selection of tuning parameters in pliable lasso models via modified Bayesian type criteria for high-dimensional data sets
Zainab Subhi Mahmood Hawrami, Emre Dünder · 2026-09-11 -
Conditional GLMMs for reaction times in choice tasks
Mauricio Tejo, Cristian Meza, Fernando Marmolejo‐Ramos · 2026-09-10 · Open Access -
Ultra-high dimensional confounder selection algorithm comparison, with application to radiomics data
Ismaïla Baldé, Debashis Ghosh · 2026-09-10 -
Statement of Retraction: A comparative study of computation approaches of the generalized F-test
2026-09-10 · Retraction -
Forecasting methods for additive linear models with autoregressive symmetric errors
Shu Wei Chou-Chen, Rodrigo Alves de Oliveira, Gilberto A. Paula · 2026-09-10 -
Incomplete angular time series imputation with a projected normal autoregressive process and exogenous predictors
Benjamin Stockton, Ofer Harel · 2026-09-08
Most Cited Papers
All-time most cited works published in Journal of Applied Statistics, ranked by citation count.
-
3,092 cites
Beta Regression for Modelling Rates and Proportions
Silvia L. P. Ferrari, Francisco Cribari‐Neto · 2004 -
1,660 cites
Introduction to linear regression analysis
Pieter Bastiaan Ober · 2013 · OA -
1,195 cites
Scale-space theory: a basic tool for analyzing structures at different scales
Tony Lindeberg · 1994 · OA -
1,161 cites
A general methodology for bootstrapping in non-parametric frontier models
Léopold Simar, Paul W. Wilson · 2000 -
983 cites
Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*
Stuart Geman, Donald Geman · 1993 -
922 cites
Analyzing linguistic data: a practical introduction to statistics using R
Elisabeth Dévière · 2009 · OA
What This Journal Publishes
Distribution of document types accepted at Journal of Applied Statistics, based on works indexed in OpenAlex. Use this to confirm your manuscript type fits the journal's scope.
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Metadata
Last updated: May 11, 2026
Updated by: openalex_bulk
OpenAlex ID: S167117542
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