Journal of Statistical Theory and Practice

Aims & Scope

The Journal of Statistical Theory and Practice is a broad-based journal encouraging submission of original research papers, significant review articles, and book reviews in statistical sciences.

The journal also publishes editorials on "Life and Works" of eminent scholars.

Special issues on targeted topics are published from time to time.

In addition to covering all traditional topics in statistical theory and applications, the journal will also publish articles in the field of data sciences including machine learning.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.9
2024	0.60

Journal Rank

Year	Value
2024	15914

Journal Citation Indicator

Year	Value
2024	188

SJR (SCImago Journal Rank)

Year	Value
2024	0.324

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	26

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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.

• The Gompertz-G family of distributions

  Citation: 91

  Authors: Morad, Gauss M., Luis Gustavo Bastos, Indranil

• Median-Based Incremental Cost-Effectiveness Ratio (ICER)

  Citation: 72

  Authors: Heejung, Hongwei

• Empirical Evidence on Student-<i>t</i>Log-Returns of Diversified World Stock Indices

  Citation: 64

  Authors: Eckhard, Renata

• Recent developments in systematic sampling: A review

  Citation: 60

  Authors: Sayed A., Ibrahim A.

• Evolutionary Dynamics on Graphs - the Effect of Graph Structure and Initial Placement on Mutant Spread

  Citation: 59

  Authors: M., J., B. T.

• A unified measure of respondent privacy and model efficiency in quantitative RRT models

  Citation: 56

  Authors: Sat, Samridhi, Javid, Sadia

• Ratio Estimation of the Mean of a Sensitive Variable in the Presence of Auxiliary Information

  Citation: 54

  Authors: Rita, Javid, Pedro Corte, Sat

• EM Algorithm-Based Likelihood Estimation for Some Cure Rate Models

  Citation: 43

  Authors: N., S.

• Efficient Sampling Methods for Truncated Multivariate Normal and Student-<i>t</i>Distributions Subject to Linear Inequality Constraints

  Citation: 42

  Authors: Yifang, Sujit K.

• Modern Experimental Design

  Citation: 38

  Authors: Thomas P., J. P.

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