Bibliometric Mapping and Trend Analysis of Beta Regression Modeling: A Decade of Development (2015–2024)

Authors

  • Pardomuan Robinson Sihombing School of Data Science, Mathematics and Informatics, IPB University, Indonesia
  • Erfiani School of Data Science, Mathematics and Informatics, IPB University, Indonesia
  • Khairil Anwar Notodiputro School of Data Science, Mathematics and Informatics, IPB University, Indonesia
  • Anang Kurnia School of Data Science, Mathematics and Informatics, IPB University, Indonesia

DOI:

10.33395/sinkron.v9i3.14949

Keywords:

Beta; Bibliometric; Modelling; Rate; Rregression

Abstract

Beta regression is a statistical model designed to handle dependent variables that assume values within the open interval (0, 1), such as rates, proportions, or percentages. The study aimed to determine the development of beta regression over the last 10 years with a bibliometric approach. The source of the article database used comes from the Scopus website. The tool used for analysis is R software with a bibliometrix package. The results of this study show that there are 293 articles published in the Scopus Journal. Research develops in various research fields. The author with the most articles is Cribari-Neto, F., with the most significant number of documents, i.e., 12. According to the author's country of origin related to the beta regression method, Brazil has the most countries, while Indonesia is in 12th place. Therefore, research on beta regression still has excellent potential to continue to be developed.

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How to Cite

Sihombing, P. R. ., Erfiani, E., Notodiputro, K. A. ., & Kurnia, A. . (2025). Bibliometric Mapping and Trend Analysis of Beta Regression Modeling: A Decade of Development (2015–2024). Sinkron : Jurnal Dan Penelitian Teknik Informatika, 9(3), 1062-1072. https://doi.org/10.33395/sinkron.v9i3.14949

Issue

Vol. 9 No. 3 (2025): Article Research July 2025

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Articles

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Copyright (c) 2025 Pardomuan Robinson Sihombing, Erfiani, Khairil Anwar Notodiputro, Anang Kurnia

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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