Bibliometric Analysis of “Statistics: A Journal of Theoretical and Applied Statistics” on 1985-2021 Period

Ansari Saleh Ahmar (Department of Statistics, Universitas Negeri Makassar, 90223, Makassar, Indonesia)
Miguel Botto-Tobar ((1) Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands (2) Research Group in Artificial Intelligence and Information Technology, University of Guayaquil, 090510, Guayaquil, Ecuador)
Abdul Rahman (Department of Mathematics, Universitas Negeri Makassar, 90223, Makassar, Indonesia)
Angela Diaz Cadena (University of Guayaquil, 090510, Guayaquil, Ecuador)
R. Rusli (Department of Mathematics, Universitas Negeri Makassar, 90223, Makassar, Indonesia)
Rahmat Hidayat (Department of Information Technology, Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia)

Journal of Applied Science, Engineering, Technology, and Education
Vol. 4 No. 1 (2022)

This study is a quantitative research using bibliometric analysis. This study aimed to find out more detail about the “Statistics: A Journal of Theoretical and Applied Statistics” or SJTAS which was published during 1985-2021. This was seen from the topic of study, country productivity, author contributions, and analysis of their citation. The data in this study were taken from the Scopus database using keywords: (ISSN(0233-1888) OR ISSN(1029-4910)). The results obtained from the Scopus database are 1.798 documents. The average article citation fluctuates annually and the highest article citation is in 2018. Keywords from articles published in the SJTAS are dominated by topics: order statistics (55 articles), asymptotic normality (43 articles), bootstrap (33 articles), exponential distribution (32 articles), and consistency (31 articles).