Growth and Research Productivity on Library Automation: A Bibliometric Analysis

Authors

Mohammad Hussain, Department of Library & Information Science, Khushal Khan Khattak University Karak, Khyber Pakhtunkhwa, PakistanFollow
Kainat Shaheen, Department of Library & Information Science, Khushal Khan Khattak University Karak, Khyber Pakhtunkhwa, PakistanFollow
Javeria Jan, Department of Library & Information Science, Khushal Khan Khattak University Karak, Khyber Pakhtunkhwa, PakistanFollow
Ms Saddiqa, Bannu Public Library, Bannu, Khyber Pakhtunkhwa, PakistanFollow

Date of this Version

3-7-2022

Document Type

Article

Abstract

Purpose: This study examined the research productivity of library automation from 2015-to 2020. The study's objectives were to access the publications based on various parameters such as year-wise distribution, authorship pattern, the total count of citations, most cited publications and the most prolific authors.

Methodology: The bibliometric method was applied in the study to analyze the characteristics and trends of papers published on library automation during the years 2015-2020. The data for the study was extracted from Google Scholar by using the bibliometric analysis software “Publish or Perish” and was further analyzed with MS Excel 365.

Key Findings: It was found that 342 authors wrote a total of 190 papers during the study period. The results show that the highest number of publications (45) were published in 2019. The single personal authors' pattern was dominant, with 50.52% publications. A total of 355 citations were received by the papers and 118 (33.2%) citations were received in 2017. The paper also highlighted information about the most cited on the topic papers during the study period.