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

Ansari Saleh Ahmar; Miguel Botto-Tobar; Abdul Rahman; Angela Diaz Cadena; R. Rusli; Rahmat Hidayat

doi:10.35877/454RI.asci1135

Authors

Ansari Saleh Ahmar Department of Statistics, Universitas Negeri Makassar, 90223, Makassar, Indonesia http://orcid.org/0000-0001-6888-9043
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 https://orcid.org/0000-0001-7494-5224
Abdul Rahman Department of Mathematics, Universitas Negeri Makassar, 90223, Makassar, Indonesia
Angela Diaz Cadena University of Guayaquil, 090510, Guayaquil, Ecuador
Rusli Department of Mathematics, Universitas Negeri Makassar, 90223, Makassar, Indonesia
Rahmat Hidayat Department of Information Technology, Politeknik Negeri Padang, Limau Manis, Padang, 25164, Indonesia

DOI:

https://doi.org/10.35877/454RI.asci1135

Keywords:

citations analysis, author contributions, statistics, scientific journal, bibliometrics

Abstract

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).

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References

Ferdias, P., & Ahmar, A. S. (2021). Forecasting of the COVID-19 Epidemic: A Scientometric Analysis. Library Philosophy and Practice, 1–11.

Garrigos-Simon, F., Botella-Carrubi, M., & Gonzalez-Cruz, T. (2018). Social Capital, Human Capital, and Sustainability: A Bibliometric and Visualization Analysis. Sustainability, 10(12), 4751. https://doi.org/10.3390/su10124751

Haryani, C. S., Sudin, A., & Isrokatun, I. (2020). Analisis Bibliometrik Tren Publikasi dan Tingkat Kolaborasi pada Model Situation-Based Learning (2010-2019). Jurnal Pena Ilmiah, 3(2), 131–140.

Iskandar, A., Djajasinga, N. D., Noegraha, A. D., Gatot, E., & Ahmar, A. S. (2021). Analysis and Publication Profifile of Indonesian Scientifific Work in 2020 Based on the Scopus Database. Library Philosophy and Practice, 2021(1), 1–10.

Liu, H., Yu, Z., Chen, C., Hong, R., Jin, K., & Yang, C. (2018). Visualization and Bibliometric Analysis of Research Trends on Human Fatigue Assessment. Journal of Medical Systems, 42(10), 179. https://doi.org/10.1007/s10916-018-1033-3

Nelisa, M. (2012). Produktivitas pengarang artikel bidang ilmu perpustakaan dan informasi di Indonesia tahun 1978-2007: Analisis bibliometrika menggunakan hukum Lotka. Jurnal Dokumentasi Dan Informasi, 30(2), 73–95.

Royani, Y., & Idhani, D. (2018). Analisis Bibliometrik Jurnal Marine Research in Indonesia. Media Pustakawan, 25(4), 60–65.