Annals of the Institute of Statistical Mathematics

Aims & Scope

Annals of the Institute of Statistical Mathematics (AISM) aims to provide a forum for open communication among statisticians, and to contribute to the advancement of statistics as a science to enable humans to handle information in order to cope with uncertainties.

It publishes high-quality papers that shed new light on the theoretical, computational and/or methodological aspects of statistical science.

Emphasis is placed on (a) development of new methodologies motivated by real data, (b) development of unifying theories, and (c) analysis and improvement of existing methodologies and theories.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.6
2024	0.80

Journal Rank

Year	Value
2024	9690

Journal Citation Indicator

Year	Value
2024	137

SJR (SCImago Journal Rank)

Year	Value
2024	0.599

Quartile

Year	Value
2024	Q2

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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 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.

• Bayesian image restoration, with two applications in spatial statistics

  Citation: 3160

  Authors: Julian, Jeremy, Annie

• Fitting autoregressive models for prediction

  Citation: 2134

  Authors: Hirotugu

• Statistical predictor identification

  Citation: 1061

  Authors: Hirotugu

• Space-Time Point-Process Models for Earthquake Occurrences

  Citation: 877

  Authors: Yosihiko

• On unbiased estimates of the population mean based on the sample stratified by means of ordering

  Citation: 555

  Authors: Koiti, Kazumasa

• A Bayesian analysis of the minimum AIC procedure

  Citation: 544

  Authors: Hirotugu

• Estimation of a multivariate density

  Citation: 464

  Authors: Theophilos

• Multinomial logistic regression algorithm

  Citation: 418

  Authors: Dankmar

• Bivariate extreme statistics, I

  Citation: 418

  Authors: Masaaki

• The distribution of the sum of independent gamma random variables

  Citation: 416

  Authors: P. G.

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