Meta-Analytical Review of Generalized Weibull Distributions: A Bibliometric Perspective

This paper presents a comprehensive meta-analysis and bibliometric study of research on generalized Weibull distributions, providing an in-depth examination of the intellectual structure and evolution of this emerging field in statistical modelling. The study finds prominent research issues, significant papers, and important figures influencing the subject by drawing on a broad range of scholarly sources. Research impact is measured, collaboration networks are analysed, and the global distribution of scholarly output is mapped using well-established bibliometric approaches. The results highlight important publications that have increased knowledge in this field, new research avenues, and changes in theoretical and applied focus. The paper makes significant contributions to the larger body of literature in statistics and the mathematical sciences by combining these findings to provide a holistic account of the evolution, current trends, and possible future progression of Weibull distribution generalizations.

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Publication Details

Journal
Journal of Probability and Statistical Science
Published
2026-10-26
DOI
https://doi.org/10.37119/jpss2026.v24i2.1108
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
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article

Meta-Analytical Review of Generalized Weibull Distributions: A Bibliometric Perspective

Manju Jose, Emma Milot, Lishamol Tomy, Arya S S
Journal of Probability and Statistical Science
Statistical Distribution Estimation and Applications
article

Meta-Analytical Review of Generalized Weibull Distributions: A Bibliometric Perspective

Manju Jose, Emma Milot, Lishamol Tomy, Arya S S
article en

Abstract

This paper presents a comprehensive meta-analysis and bibliometric study of research on generalized Weibull distributions, providing an in-depth examination of the intellectual structure and evolution of this emerging field in statistical modelling. The study finds prominent research issues, significant papers, and important figures influencing the subject by drawing on a broad range of scholarly sources. Research impact is measured, collaboration networks are analysed, and the global distribution of scholarly output is mapped using well-established bibliometric approaches. The results highlight important publications that have increased knowledge in this field, new research avenues, and changes in theoretical and applied focus. The paper makes significant contributions to the larger body of literature in statistics and the mathematical sciences by combining these findings to provide a holistic account of the evolution, current trends, and possible future progression of Weibull distribution generalizations.

Journal of Probability and Statistical ScienceVol. 24(2)
Alphonsa College (IN), Université de Caen Normandie (FR)
Openalex Percentile: Top 12%
Statistical Distribution Estimation and Applications
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