The Bibliometric Analysis on Finite Mixture Model

A finite mixture model is well-known in statistics due to its versatility and is being actively researched. This paper reviews finite mixture model literature via bibliometric analysis, focusing on the trend and link between finite mixture model studies. The bibliometric analysis consists of four ma...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Phoong, Seuk Yen, Khek, Shi Ling, Phoong, Seuk Wai
التنسيق: مقال
منشور في: 2022
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الوصول للمادة أونلاين:http://eprints.um.edu.my/42308/
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id my.um.eprints.42308
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spelling my.um.eprints.423082023-10-09T03:48:14Z http://eprints.um.edu.my/42308/ The Bibliometric Analysis on Finite Mixture Model Phoong, Seuk Yen Khek, Shi Ling Phoong, Seuk Wai H Social Sciences (General) A finite mixture model is well-known in statistics due to its versatility and is being actively researched. This paper reviews finite mixture model literature via bibliometric analysis, focusing on the trend and link between finite mixture model studies. The bibliometric analysis consists of four main phases; formulating research questions, locating research, research selection, evaluation, and analyzing and synthesizing selected papers. There are 667 journal articles extracted from the Web of Science (WoS) database from publications within 1988 to 2020. The Biblioshiny with R packages and VOSViewer were used as analytical tools. The findings show that there is an increasing trend of annual publication on the finite mixture model study. The results also outline key journals and the highest cited articles. Network analysis was also conducted and explored in scientific cooperation in the finite mixture model study. This study proposed a research agenda in the finite mixture model by identifying its current state and population trends. 2022-04 Article PeerReviewed Phoong, Seuk Yen and Khek, Shi Ling and Phoong, Seuk Wai (2022) The Bibliometric Analysis on Finite Mixture Model. SAGE Open, 12 (2). ISSN 2158-2440, DOI https://doi.org/10.1177/21582440221101039 <https://doi.org/10.1177/21582440221101039>. 10.1177/21582440221101039
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Phoong, Seuk Yen
Khek, Shi Ling
Phoong, Seuk Wai
The Bibliometric Analysis on Finite Mixture Model
description A finite mixture model is well-known in statistics due to its versatility and is being actively researched. This paper reviews finite mixture model literature via bibliometric analysis, focusing on the trend and link between finite mixture model studies. The bibliometric analysis consists of four main phases; formulating research questions, locating research, research selection, evaluation, and analyzing and synthesizing selected papers. There are 667 journal articles extracted from the Web of Science (WoS) database from publications within 1988 to 2020. The Biblioshiny with R packages and VOSViewer were used as analytical tools. The findings show that there is an increasing trend of annual publication on the finite mixture model study. The results also outline key journals and the highest cited articles. Network analysis was also conducted and explored in scientific cooperation in the finite mixture model study. This study proposed a research agenda in the finite mixture model by identifying its current state and population trends.
format Article
author Phoong, Seuk Yen
Khek, Shi Ling
Phoong, Seuk Wai
author_facet Phoong, Seuk Yen
Khek, Shi Ling
Phoong, Seuk Wai
author_sort Phoong, Seuk Yen
title The Bibliometric Analysis on Finite Mixture Model
title_short The Bibliometric Analysis on Finite Mixture Model
title_full The Bibliometric Analysis on Finite Mixture Model
title_fullStr The Bibliometric Analysis on Finite Mixture Model
title_full_unstemmed The Bibliometric Analysis on Finite Mixture Model
title_sort bibliometric analysis on finite mixture model
publishDate 2022
url http://eprints.um.edu.my/42308/
_version_ 1781704625384062976
score 13.149126