Search

Artificial intelligence (AI) has emerged as an innovative technology with the potential to revolutionize various industries including libraries and information science. Academic libraries are increasingly adopting artificial intelligence (AI) to enhance services, improve efficiency, and enhance user experience. This study utilizes a bibliometric approach to comprehensively analyze current research on AI in academic libraries (AI in ALs). This study employed bibliometric indicators to identify key trends, patterns, and research gaps in the existing literature. A comprehensive dataset of 373 research papers on AI in ALs published between 2002 and 2022 was collected and analyzed using the Scopus database. Various bibliometric tools, such as Biblioshiny, VOSviewer, and BibExcel, have enhanced this analysis. The findings of this study provide important insights. By 2022, there were 64 publications, constituting 17.16% of the total corpus, accompanied by 65 citations. In contrast, 2019 witnessed only 33 publications yet accumulated a substantial number of citations, amounting to 294, representing 8.85% of the overall citations. Conference papers exhibited the highest frequency among different publication types, with 165 publications, whereas journal articles had the highest citation count, accumulating 217 citations. Geographically, China emerged as the leading contributor with 119 publications, and Wuhan University stood out as the most prominent affiliation. Notably, the "Lecture Notes in Computer Science" series emerged as the most prolific source title, publishing 15 articles, of which eight were cited. The authors Wang J., Wang C., and Wang X. from China demonstrated significant contributions, consistently publishing four papers annually from 2010 to 2022. [ABSTRACT FROM AUTHOR]

This study was carried out to perform bibliometric analysis on e-logistics, which could not be found to be examined before in the literature, and create bibliometric networks through visualizations. The VOSviewer (ver. 1.6.17) program was used in the creation and visualization of bibliometric networks. According to the analysis results of this study, most publications in the field of e-logistics were published in 2004, the languages of the publications were mostly English, the country with the most publications was China, the most cited authors were Feng-Cheng Tung, Su-Chao Chang, and Chi-Min Chou, 2008 and according to Web of Science (WoS) categories, the most publications were understood to be in the computer science information systems category. According to the results of the bibliometric analysis using the creation and visualization of bibliometric networks, the most cited author was Ulieru, M. based on the co-citation author analysis, the most cited source was the International Journal of Physical Distribution & Logistics Management based on the co-citation source analysis, the country with the most documents was China based on the bibliographic coupling country analysis, and the most repeated keywords were e-logistics, e-commerce, logistics, supply chain management and reverse logistics based on the keyword co-occurrence analysis. [ABSTRACT FROM AUTHOR]