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Title: Scholarly Productivity of the University of Engineering and Technology, Lahore over 50 years (1973-2022): A Bibliometric Visualization from the Web of Science
Authors: Muhammad Ijaz Mairaj, Sanila Aslam, Nusrat Ali
Journal: Pakistan Journal of Information Management and Libraries
Publisher: Department of Information Management, University of the Punjab
Country: Pakistan
Year: 2023
Volume: 25
Issue: 1
Language: en
Keywords: Bibliometric analysisResearch ProductivityWeb of ScienceUET PublicationsIndexesscholarly productivityBibliometric Visualization
This study aimed to analyze the scholarly productivity of the University of Engineering and Technology (UET), Lahore, over 50 years, from 1973 to 2022. Data indexed in the Web of Science (WoS) database was used and included information such as document type, year-wise research output, leading authors, significant collaborative organizations, primary international author collaborations, key corresponding author affiliations by country, major funding agencies, and highly cited publications.For bibliometric visualization, the BiblioShiny and VOSviewer software tools were employed. A comprehensive analysis of 5502 publications across diverse categories, such as research articles, conference papers, abstracts, reviews, editorials and others, was conducted. The UET research productivity displayed a positive trend, with 2022 emerging as the most productive year. Research articles constituted the predominant publication type, showcasing their popularity. Collaboration emerged as a preferred approach among researchers, evidenced by the prevalence of co-authored publications. The majority of the corresponding co- authors were affiliated with Pakistani institutions. The University of the Punjab (PU), Pakistan, was a prominent collaborative partner among all institutes. China was identified as the primary international collaborator for the researchers. Furthermore, the Higher Education Commission (HEC) of Pakistan was seen to be the primary funding agency for researchers at UET. The research domain of "engineering" claimed the most productivity, and "performance" was the most frequently used keyword. This study helps understand UET's research performance in the domains of engineering, science and technology.
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