Journal of Applied Statistics

Aims & Scope

Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines.

These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered.

The editorial policy is to publish rigorous but clear and accessible papers on applied techniques.

Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed.

Each paper is submitted to at least two independent referees.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.1
2024	1.20

Journal Rank

Year	Value
2024	10547

Journal Citation Indicator

Year	Value
2024	1007

SJR (SCImago Journal Rank)

Year	Value
2024	0.552

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	72

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Abstracting & Indexing

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

• Scopus
• Google Scholar
• Web of Science

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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.

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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.

• Beta Regression for Modelling Rates and Proportions

  Citation: 2194

  Authors: Silvia, Francisco

• A general methodology for bootstrapping in non-parametric frontier models

  Citation: 800

  Authors: Léopold, Paul W.

• Scale-space theory: a basic tool for analyzing structures at different scales

  Citation: 744

  Authors: Tony

• A new unit root test with two structural breaks in level and slope at unknown time

  Citation: 565

  Authors: Paresh Kumar, Stephan

• Robustness of partial least-squares method for estimating latent variable quality structures

  Citation: 476

  Authors: Claes, Peter, Anders H.

• Maximum entropy sampling

  Citation: 414

  Authors: M. C., H. P.

• A method of choosing multiway partitions for classification and decision trees

  Citation: 405

  Authors: David, Barry, Ed

• Ordered quantile normalization: a semiparametric transformation built for the cross-validation era

  Citation: 388

  Authors: Ryan A., Joseph E.

• A generalized normal distribution

  Citation: 362

  Authors: Saralees

• An<i>R</i>²statistic for fixed effects in the generalized linear mixed model

  Citation: 336

  Authors: Byron C., Lloyd J., Kalyan, Pranab K.

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