Inflation properties in count data distributions: a three-decade bibliometric analysis

Researchers have been proposing inflated models for count data since 1992, which was pioneered by Diane Lambert. In inflated models for count data, the inflation points commonly occurs either at zero and/or one. A comprehensive bibliometric analysis has been conducted to investigate how popular the...

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Main Authors: Razik Ridzuan Mohd Tajuddin, Noriszura Ismail
Format: Article
Language:en
Published: Penerbit Universiti Kebangsaan Malaysia 2025
Online Access:http://journalarticle.ukm.my/25077/1/SSB%2024.pdf
http://journalarticle.ukm.my/25077/
https://www.ukm.my/jsm/english_journals/vol54num1_2025/contentsVol54num1_2025.html
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author Razik Ridzuan Mohd Tajuddin,
Noriszura Ismail,
author_facet Razik Ridzuan Mohd Tajuddin,
Noriszura Ismail,
author_sort Razik Ridzuan Mohd Tajuddin,
building Tun Sri Lanang Library
collection Institutional Repository
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
continent Asia
country Malaysia
description Researchers have been proposing inflated models for count data since 1992, which was pioneered by Diane Lambert. In inflated models for count data, the inflation points commonly occurs either at zero and/or one. A comprehensive bibliometric analysis has been conducted to investigate how popular the studies on inflated models have been since 1992. A total of 724 documents have been retrieved from Scopus database, which include all types of documents and languages. The publications growth rate for the inflated count data models was 16.27%, proving that many researchers were attracted to this area of study. Majority of the documents were articles and written in English. One article published in the R Journal has obtained the most acceptance among the community as seen from the average number of citations each year. The United States of America may have been collaborating with lots of researchers from other countries but the University of São Paulo, Brazil has published the greatest number of documents related to the inflated count data models.
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institution Universiti Kebangsaan Malaysia
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publisher Penerbit Universiti Kebangsaan Malaysia
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spelling my-ukm.journal.250772025-04-09T03:12:51Z http://journalarticle.ukm.my/25077/ Inflation properties in count data distributions: a three-decade bibliometric analysis Razik Ridzuan Mohd Tajuddin, Noriszura Ismail, Researchers have been proposing inflated models for count data since 1992, which was pioneered by Diane Lambert. In inflated models for count data, the inflation points commonly occurs either at zero and/or one. A comprehensive bibliometric analysis has been conducted to investigate how popular the studies on inflated models have been since 1992. A total of 724 documents have been retrieved from Scopus database, which include all types of documents and languages. The publications growth rate for the inflated count data models was 16.27%, proving that many researchers were attracted to this area of study. Majority of the documents were articles and written in English. One article published in the R Journal has obtained the most acceptance among the community as seen from the average number of citations each year. The United States of America may have been collaborating with lots of researchers from other countries but the University of São Paulo, Brazil has published the greatest number of documents related to the inflated count data models. Penerbit Universiti Kebangsaan Malaysia 2025 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/25077/1/SSB%2024.pdf Razik Ridzuan Mohd Tajuddin, and Noriszura Ismail, (2025) Inflation properties in count data distributions: a three-decade bibliometric analysis. Sains Malaysiana, 54 (1). pp. 303-312. ISSN 0126-6039 https://www.ukm.my/jsm/english_journals/vol54num1_2025/contentsVol54num1_2025.html
spellingShingle Razik Ridzuan Mohd Tajuddin,
Noriszura Ismail,
Inflation properties in count data distributions: a three-decade bibliometric analysis
title Inflation properties in count data distributions: a three-decade bibliometric analysis
title_full Inflation properties in count data distributions: a three-decade bibliometric analysis
title_fullStr Inflation properties in count data distributions: a three-decade bibliometric analysis
title_full_unstemmed Inflation properties in count data distributions: a three-decade bibliometric analysis
title_short Inflation properties in count data distributions: a three-decade bibliometric analysis
title_sort inflation properties in count data distributions: a three-decade bibliometric analysis
url http://journalarticle.ukm.my/25077/1/SSB%2024.pdf
http://journalarticle.ukm.my/25077/
https://www.ukm.my/jsm/english_journals/vol54num1_2025/contentsVol54num1_2025.html
url_provider http://journalarticle.ukm.my/