New Horizons in Information Access: Bibliometric Mapping of Digital Libraries and Artificial Intelligence Literature
DOI:
https://doi.org/10.5281/zenodo.18213630Keywords:
Digital libraries, Artificial intelligence, Bibliometric analysis, Information accessAbstract
The convergence of digital libraries and artificial intelligence (AI) has significantly reshaped information access, fostering innovative approaches to knowledge discovery and dissemination. This study conducts a comprehensive bibliometric analysis of the literature at the intersection of digital libraries and AI, utilizing data from the Web of Science database. Employing a suite of bibliometric techniques—including publication trend analysis, keyword cloud generation, thematic analysis of keywords, co-occurrence analysis of keywords, and trend concept analysis—this research maps the intellectual structure, dominant themes, and emerging trends in the field. The findings highlight a surge in AI-driven applications within digital libraries, such as intelligent search systems, automated metadata extraction, and personalized recommendation engines, while also identifying challenges such as data privacy, algorithmic bias, and disparities in technological infrastructure. The analysis reveals key research clusters, influential publications, and interdisciplinary connections, providing a robust overview of the global research landscape. By elucidating the evolution and impact of AI in digital library systems, this bibliometric map offers valuable insights into research gaps and future directions, serving as a foundation for advancing inclusive and efficient knowledge ecosystems.
References
Alam, M. J., Hassan, R., & Ogawa, K. (2023). Digitalization of higher education to achieve sustainability: Investigating students’ attitudes toward digitalization in Bangladesh. International Journal of Educational Research Open, 5, 100273. https://doi.org/10.1016/j.ijedro.2023.100273
Alemneh, D. G., Chang, H. C., Hawamdeh, S. M., Rorissa, A., & Assefa, S. (2019). Cybersecurity challenges in the era of open access and big data: Issues and considerations. Proceedings of the Association for Information Science and Technology, 56(1), 324-326. https://doi.org/10.1002/pra2.32
Allison, D. (2012). Chatbots in the library: Is it time? Library Hi Tech, 30(1), 95-107. https://doi.org/10.1108/07378831211213210
Anand, N., Yang, M., van Duin, J. R., & Tavasszy, L. (2012). GenCLOn: An ontology for city logistics. Expert Systems with Applications, 39(15), 11944-11960. https://doi.org/10.1016/j.eswa.2012.03.068
Bornmann, L., & Mutz, R. (2015). Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references. Journal of the Association for Information Science and Technology, 66(11), 2215-2222. https://doi.org/10.1002/asi.23329
Campbell, D. G., & Cowan, S. R. (2016). The paradox of privacy: Revisiting a core library value in an age of big data and linked data. Library Trends, 64(3), 492-511. https://doi.org/10.1353/lib.2016.0003
Cox, A. M., & Mazumdar, S. (2024). Defining artificial intelligence for librarians. Journal of Librarianship and Information Science, 56(2), 330-340. https://doi.org/10.1177/09610006221142029
Deori, M., Kumar, V., & Verma, M. K. (2023). Analysis of YouTube video contents on Koha and DSpace, and sentiment analysis of viewers' comments. Library Hi Tech, 41(3), 711-728. https://doi.org/10.1108/LHT-12-2020-0323
Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809-1831. https://doi.org/10.1007/s11192-015-1645-z
Guleria, D., & Kaur, G. (2021). Bibliometric analysis of ecopreneurship using VOSviewer and RStudio Bibliometrix, 1989–2019. Library Hi Tech, 39(4), 1001-1024. https://doi.org/10.1108/LHT-09-2020-0218
Hervieux, S., & Wheatley, A. (2021). Perceptions of artificial intelligence: A survey of academic librarians in Canada and the United States. The Journal of Academic Librarianship, 47(1), 102270. https://doi.org/10.1016/j.acalib.2020.102270
Huo, Y. Q., Pan, X. H., Li, Q. B., Wang, X. Q., Jiao, X. J., Jia, Z. W., & Wang, S. J. (2015). Fifty top-cited classic papers in orthopedic elbow surgery: A bibliometric analysis. International Journal of Surgery, 18, 28-33. https://doi.org/10.1016/j.ijsu.2015.03.020
Islam, M. N., Aziz, M. T. B., & Chakravarty, R. (2022). Bibliometric analysis on information literacy (2017-2021): A systematic literature review. Library Philosophy and Practice (e-journal), Article 7179. https://digitalcommons.unl.edu/libphilprac/7179
Johnson, V. (2017). Leveraging technical library expertise for big data management. Journal of the Australian Library and Information Association, 66(3), 271-286. https://doi.org/10.1080/24750158.2017.1356982
Kim, Y. S., & Cooke, L. (2017). Big data analysis of public library operations and services by using the Chernoff face method. Journal of Documentation, 73(3), 466-480. https://doi.org/10.1108/JD-08-2016-0098
Martín‐Del‐Río, B., Solanes‐Puchol, Á., Martínez‐Zaragoza, F., & Benavides‐Gil, G. (2018). Stress in nurses: The 100 top‐cited papers published in nursing journals. Journal of Advanced Nursing, 74(7), 1488-1504. https://doi.org/10.1111/jan.13566
Meng, Y., Chu, M. Y., & Chiu, D. K. (2023). The impact of COVID-19 on museums in the digital era: Practices and challenges in Hong Kong. Library Hi Tech, 41(1), 130-151. https://doi.org/10.1108/LHT-03-2022-0127
Moed, H. F. (2009). New developments in the use of citation analysis in research evaluation. Archivum Immunologiae et Therapiae Experimentalis, 57(1), 13-18. https://doi.org/10.1007/s00005-009-0001-5
Önder, O. K. (2025). Analysis of published manuscripts on Napoleon Bonaparte. Black Sea Journal of Public and Social Sciences, 8(1), 1-6. https://doi.org/10.52704/bssocialscience.1541621
Tijjani, B., Ashiq, M., Siddique, N., Khan, M. A., & Rasul, A. (2021). A bibliometric analysis of quality research papers in Islamic finance: Evidence from Web of Science. ISRA International Journal of Islamic Finance, 13(1), 84-101. https://doi.org/10.1108/IJIF-03-2020-0062
Tung, W. F., & Jara Santiago Campos, J. (2022). User experience research on social robot application. Library Hi Tech, 40(4), 914-928. https://doi.org/10.1108/LHT-11-2020-0275
Vasishta, P., Dhingra, N., & Vasishta, S. (2025). Application of artificial intelligence in libraries: A bibliometric analysis and visualisation of research activities. Library Hi Tech, 43(2/3), 693-710. https://doi.org/10.1108/LHT-06-2023-0245
Wijewickrema, M. (2023). A bibliometric study on library and information science and information systems literature during 2010–2019. Library Hi Tech, 41(2), 595-621. https://doi.org/10.1108/LHT-06-2021-0210
Yu, P. Y., Lam, E. T. H., & Chiu, D. K. (2022). Operation management of academic libraries in Hong Kong under COVID-19. Library Hi Tech, 41(1), 108-129. https://doi.org/10.1108/LHT-05-2021-0164
Zhang, K., & Lu, P. (2023). What are the key indicators for evaluating the service satisfaction of WeChat official accounts in Chinese academic libraries? Library Hi Tech, 41(3), 788-806. https://doi.org/10.1108/LHT-01-2021-0008
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