Annals of Applied Statistics

Aims & Scope

Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory.

The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range.

Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.4
2024	1.30

Journal Rank

Year	Value
2024	5313

Journal Citation Indicator

Year	Value
2024	622

SJR (SCImago Journal Rank)

Year	Value
2024	0.944

Quartile

Year	Value
2024	Q1

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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.

• Random survival forests

  Citation: 2004

  Authors: Hemant, Udaya B., Eugene H., Michael S.

• A weakly informative default prior distribution for logistic and other regression models

  Citation: 1433

  Authors: Andrew, Aleks, Maria Grazia, Yu-Sung

• Pathwise coordinate optimization

  Citation: 1257

  Authors: Jerome, Trevor, Holger, Robert

• BART: Bayesian additive regression trees

  Citation: 1246

  Authors: Hugh A., Edward I., Robert E.

• Measuring reproducibility of high-throughput experiments

  Citation: 906

  Authors: Qunhua, James B., Haiyan, Peter J.

• Robust hyperparameter estimation protects against hypervariable genes and improves power to detect differential expression

  Citation: 859

  Authors: Belinda, Stanley, Ian J., Warren S., Gordon K.

• A correlated topic model of Science

  Citation: 858

  Authors: David M., John D.

• Predictive learning via rule ensembles

  Citation: 735

  Authors: Jerome H., Bogdan E.

• Inferring causal impact using Bayesian structural time-series models

  Citation: 612

  Authors: Kay H., Fabian, Jim, Nicolas, Steven L.

• On testing the significance of sets of genes

  Citation: 610

  Authors: Bradley, Robert

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