Communications for Statistical Applications and Methods

Aims & Scope

Communications for Statistical Applications and Methods (Commun.

Stat.

Appl.

Methods, CSAM) is an official journal of the Korean Statistical Society and Korean International Statistical Society.

It is an international and Open Access journal dedicated to publishing peer-reviewed, high quality and innovative statistical research.

CSAM publishes articles on applied and methodological research in the areas of statistics and probability.

It features rapid publication and broad coverage of statistical applications and methods.

It welcomes papers on novel applications of statistical methodology in the areas including medicine (pharmaceutical, biotechnology, medical device), business, management, economics, ecology, education, computing, engineering, operational research, biology, sociology and earth science, but papers from other areas are also considered.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.6
2024	0.50

SJR (SCImago Journal Rank)

Year	Value
2024	0.227

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	12

Journal Rank

Year	Value
2024	19677

Journal Citation Indicator

Year	Value
2024	106

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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, Economics, Econometrics and Finance and Mathematics, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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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.

• A Stratified Unknown Repeated Trials in Randomized Response Sampling

  Citation: 25

  Authors: Housila P., Tanveer Ahmad

• Estimation in an Exponentiated Half Logistic Distribution under Progressively Type-II Censoring

  Citation: 21

  Authors: Suk-Bok, Jung-In

• Estimation of the Population Mean in Presence of Non-Response

  Citation: 20

  Authors: Sunil, Sandeep

• A Generalized Ratio-cum-Product Estimator of Finite Population Mean in Stratified Random Sampling

  Citation: 14

  Authors: Rajesh, Balkishan, Jong-Min

• A Note on Determination of Sample Size for a Likert Scale

  Citation: 13

  Authors: Jin-Woo, Mi-Sook

• Some Characterization Results Based on Dynamic Survival and Failure Entropies

  Citation: 12

  Authors: Maliheh

• Estimation for the Half Logistic Distribution under Progressive Type-II Censoring

  Citation: 11

  Authors: Suk-Bok, Young-Seuk, Jun-Tae

• Some Exponentiated Distributions

  Citation: 11

  Authors: M. Masoom, Manisha, Jung-Soo

• New generalized inverse Weibull distribution for lifetime modeling

  Citation: 11

  Authors: Muhammad Shuaib, Robert

• Different estimation methods for the unit inverse exponentiated weibull distribution

  Citation: 11

  Authors: Amal S, Reem S

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