| Abstract: 1. Introduction
Artificial Intelligence (AI) is one of the emerging trends in the world. It impacts on a wide range of disciplines, including medicine, surgery, automotive, aviation, business, industry, education, and all allied fields. Technology developments are enhancing library technical services and user services. Integrating AI into Library and Information Science (LIS) has revolutionized how libraries manage information and serve patrons. These studies can provide insights into the development and impact of AI research within LIS, revealing a dynamic and rapidly evolving landscape. It is also observed that very few quantitative studies have been made on AI in the LIS context. Earlier studies have used various prestigious databases as the sources. However, there does not seem to be any study using the Web of Science (WoS) database as the source of study, which also ensures wide coverage of publications. With this background, the present study has been undertaken to explore publication frequency, collaborating countries and publishers, prominent journals, geographical distribution, and emerging themes and research areas in the dynamic field of AI with applications in LIS.
2. Objective
This bibliometric study aims to quantify and analyze the research output on AI in the LIS context over a 10-year period based on data retrieved from the Web of Science database. It offers a comprehensive overview of the field’s growth, key contributors, and major research themes.
3. Methodology
The data for the period 2014-2023 were extracted from the WoS database using the basic search strategy as [ artificial intelligence (All Fields) OR expert systems (All Fields) OR neural network (All Fields) OR Intelligent retrieval (All Fields)] after that refined by article type and web of science categories, i.e. Information Science Library Science. In total, 2510 records were retrieved during the period of the papers.
4. Findings
Publication frequency shows a clear trend of continuous growth in several papers. Highly cited papers and total citations with authors and source journals provide the top 20 highly cited papers of authors. Maximum citations with different authors pertain to the broader subject topics: Multidisciplinary perspectives on emerging challenges, opportunities, and agendas for research, practice, policy, and big data. It also indicates top-cited journals where publications of highly cited authors appear. These journals are the International Journal of Information Management, Journal of the American Medical Informatics Association, Scientometrics, and Government Information Quarterly. Regarding the Country’s collaboration-wise study, it is found that the United States and China are leading contributors, followed by European countries. Asia, China, India, and South Korea are emerging as major players, reflecting their growing investments in AI and technology-driven library services. Dominant areas for research pertain to Computer Science, Business Economics, Health Care, Medical Informatics, and Communication. It is noted that the findings of the present study on top contributions do not reveal the usage of AI at the micro level in terms of traditional and routine library services. However, its applications in the broader scope of information science, viz., are seen and concentrated in broad areas focusing on medical/health services (medical informatics), business and industries, etc. An increasing trend of collaborative research is also prevalent in this field.
5. Conclusion
The growth of AI publications can be attributed to the growing recognition of its potential to revolutionise information and library services and various tasks and activities in almost all sectors. AI is transforming Libraries and Information centres by automating routine tasks, improving information retrieval, enhancing accessibility, and enabling predictive analytics and personalized recommendations. However, adopting AI also requires careful consideration of ethical implications and challenges. The ongoing research and development work in this field can further revolutionize library services and operations in the future. It can be concluded that more focus on micro-level studies in the LIS area and collaboration is required. This can be done with the active participation and support of LIS professionals in terms of feedback and quantitative studies, with IT professionals involved in the AI area. |
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