DIGITAL AND TECHNOLOGICAL TRENDS IN QUR’ANIC RECITATION STUDIES: A BIBLIOMETRIC ANALYSIS
DOI:
https://doi.org/10.35631/IJMOE.829001Keywords:
Artificial Intelligence, Bibliometric Analysis, Digital Technology, Islamic Education, Qur’anic RecitationAbstract
The rapid advancement of digital and educational technologies has increasingly influenced the ways Qur’anic recitation is studied, taught, and disseminated, prompting growing scholarly attention across diverse academic disciplines. Despite this expansion, existing research on Qur’anic recitation remains fragmented, and a comprehensive quantitative overview of digital and technological trends in this field is still limited. Addressing this gap, the present study aims to systematically map the intellectual structure, publication patterns, and collaborative dynamics of research on digital and technological approaches to Qur’anic recitation. A bibliometric analysis was conducted using data retrieved from Elsevier’s Scopus database through an advanced search strategy, yielding a final dataset of 3,362 publications. Scopus Analyzer was employed to examine descriptive statistics and publication trends, including annual output and country contributions, while OpenRefine was used to clean, standardize, and harmonize bibliographic records to ensure data accuracy. Network visualisation and relational analyses, including keyword co-occurrence and co-authorship by country, were performed using VOSviewer. The findings reveal a steady growth in publications over the past two decades, with a marked acceleration after 2016, reflecting heightened scholarly engagement driven by digital learning platforms, artificial intelligence, and speech-related technologies. The United States, Malaysia, Indonesia, and the United Kingdom emerge as leading contributors in terms of publication output and international collaboration. Keyword co-occurrence analysis highlights the continued dominance of classical themes such as translation, exegesis, and recitation, alongside the increasing presence of technology-oriented concepts, indicating an evolving interdisciplinary landscape. Overall, this study provides a comprehensive quantitative synthesis of digital and technological trends in Qur’anic recitation studies, offering valuable insights into research trajectories, collaborative networks, and emerging thematic directions. The findings contribute to a deeper understanding of how technological innovation is reshaping Qur’anic recitation scholarship and provide a foundation for future empirical and theory-driven research in this growing field.
Downloads
References
Adhoni, Z. A., Adhoni, Z. A., Ahadsiddiqi, A., & El Mortaji, L. (2014). Transliteration of knowledge retrieval in Urdu from Holy Quran using state of the art information technologies. ICROIT 2014 - Proceedings of the 2014 International Conference on Reliability, Optimization and Information Technology, 359–363. https://doi.org/10.1109/ICROIT.2014.6798354
Al-Khoury, A., Hussein, S. A., Abdulwhab, M., Aljuboori, Z. M., Haddad, H., Ali, M. A., Abed, I. A., & Flayyih, H. H. (2022). Intellectual Capital History and Trends: A Bibliometric Analysis Using Scopus Database. Sustainability (Switzerland), 14(18). https://doi.org/10.3390/su141811615
Al-Tarawneh, A. (2021). The role of quran translations in radicalizing muslims in the west and misrepresenting islam. Journal of Religion and Violence, 9(1), 101–122. https://doi.org/10.5840/jrv202142587
Alves, J. L., Borges, I. B., & De Nadae, J. (2021). Sustainability in complex projects of civil construction: Bibliometric and bibliographic review. Gestao e Producao, 28(4). https://doi.org/10.1590/1806-9649-2020v28e5389
Andri Nirwana, A. N., Rifai, A., Ali, M., Ali Mustofa, T., Nur Vambudi, V., Nur Rochim Maksum, M., & Umar Budihargo, M. (2025). SWOT Analysis of AI Integration in Islamic Education: Cognitive, Affective, and Psychomotor Impacts. Qubahan Academic Journal, 5(1), 476–503. https://doi.org/10.48161/qaj.v5n1a1498
Appio, F. P., Cesaroni, F., & Di Minin, A. (2014). Visualizing the structure and bridges of the intellectual property management and strategy literature: a document co-citation analysis. Scientometrics, 101(1), 623–661. https://doi.org/10.1007/s11192-014-1329-0
Assessing the Impact of AI-Driven Tools on Qur’anic Literacy: A Quasi-Experimental Study in Islamic Higher Education in Indonesia. (2025). Journal of Cultural Analysis and Social Change, 10(3), 252–259. https://doi.org/10.64753/jcasc.v10i3.2405
Assyakur, D. S., & Rosa, E. M. (2022). Spiritual Leadership in Healthcare: A Bibliometric Analysis. Jurnal Aisyah : Jurnal Ilmu Kesehatan, 7(2). https://doi.org/10.30604/jika.v7i2.914
Burman, T. E. (2009). Reading the qur’ān in Latin Christendom, 1140-1560. University of Pennsylvania Press. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896234815&partnerID=40&md5=3bcce915c033b8d2781ce56d0800e6a6
di Stefano, G., Peteraf, M., & Veronay, G. (2010). Dynamic capabilities deconstructed: A bibliographic investigation into the origins, development, and future directions of the research domain. Industrial and Corporate Change, 19(4), 1187–1204. https://doi.org/10.1093/icc/dtq027
Fahimnia, B., Sarkis, J., & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. In International Journal of Production Economics (Vol. 162, pp. 101–114). https://doi.org/10.1016/j.ijpe.2015.01.003
Fajrie, M., Arianto, D. A. N., Surya, Y. W. I., & Aminulloh, A. (2023). Al-Quran Digitalization: Adolescent View on the Value of the Digital Al-Quran Application. Jurnal Komunikasi: Malaysian Journal of Communication, 39(1), 92–106. https://doi.org/10.17576/JKMJC-2023-3901-06
Fazza, H. (2022). AFL students’ perceptions of the use of an interactive digital platform to enhance reading strategies: An activity theory perspective. In Teaching in the Post COVID-19 Era: World Education Dilemmas, Teaching Innovations and Solutions in the Age of Crisis (pp. 403–414). Springer International Publishing. https://doi.org/10.1007/978-3-030-74088-7_40
Gu, D., Li, T., Wang, X., Yang, X., & Yu, Z. (2019). Visualizing the intellectual structure and evolution of electronic health and telemedicine research. International Journal of Medical Informatics, 130. https://doi.org/10.1016/j.ijmedinf.2019.08.007
Kannike, U. M. M., & Fahm, A. O. (2025). EXPLORING THE ETHICAL GOVERNANCE OF ARTIFICIAL INTELLIGENCE FROM AN ISLAMIC ETHICAL PERSPECTIVE. Jurnal Fiqh, 22(1), 134–161. https://doi.org/10.22452/fiqh.vol22no1.5
Khiste, G. P., & Paithankar, R. R. (2017). Analysis of Bibliometric term in Scopus. International Research Journal, 01(32), 78–83.
Mirarab, A., Amiri, F. S. T., Dehghanisanij, S., & HosseinKhalili, N. (2023). Development of Qur’anic Ontologies: A Domain Review Study. International Journal of Information Science and Management, 21(3), 229–241. https://doi.org/10.22034/ijism.2023.1977928.0
Nkwanyana, N. N., & Fagbadebo, O. (2025). Common challenges of online learning during the COVID-19 pandemic. Edelweiss Applied Science and Technology, 9(2), 725–739. https://doi.org/10.55214/25768484.v9i2.4585
Rasmussen, A. K. (2010). Women, the recited Qur’an, and Islamic music in Indonesia. University of California Press. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864655843&partnerID=40&md5=988f846f44d9072e5dbf71d4c3053af5
Reynolds, G. S. (2010). The Qur’an and its biblical subtext. Routledge Taylor & Francis Group. https://doi.org/10.4324/9780203856451
Saeed, A. (2005). Interpreting the Qur’an: Towards a contemporary approach. Routledge. https://doi.org/10.4324/9780203016770
Sands, K. Z. (2006). Sufi commentaries on the Qur’an in classical Islam. Routledge. https://doi.org/10.4324/9780203019566
Sari, A. P., & Moore, L. C. (2024). Learning Qur’anic Arabic in a virtual village: Family religious language policy in transnational Indonesian Muslim families. International Journal of Bilingualism. https://doi.org/10.1177/13670069241256194
Semerikov, S. O., Striuk, A. M., Pinchuk, O. P., Vakaliuk, T. A., Kanevska, O. B., & Ostroushko, O. A. (2025). Immersive technologies, AI integration, and STEAM pedagogical innovations at AREdu 2025. In S. S.O., 54 Universytetskyi Ave. Kryvyi Rih State Pedagogical University Kryvyi Rih, S. A.M., 11 Vitalii Matusevych Str. Kryvyi Rih National University Kryvyi Rih, P. O.P., 9 M Berlynskoho Str. Institute for Digitalisation of Education of the NAES of Ukraine Kyiv, V. T.A., & 103 Chudnivsyka Str. Zhytomyr Polytechnic State University Zhytomyr (Eds.), CEUR Workshop Proceedings (Vol. 4060, pp. 1–23). CEUR-WS. https://www.scopus.com/inward/record.uri?eid=2-s2.0-105019308793&partnerID=40&md5=48fe216595a0331534f4a112c1fb4826
Shafie, N., Azizan, A., Adam, M. Z., Abas, H., Yusof, Y. M., & Ahmad, N. A. (2022). Dynamic Time Warping Features Extraction Design for Quranic Syllable-based Harakaat Assessment. International Journal of Advanced Computer Science and Applications, 13(12), 48–54. https://doi.org/10.14569/IJACSA.2022.0131207
Shawar, B., Sawalha, M., Al-Obeidallah, M. G., & Alshdaifat, A. (2024). A Mobile Application for Harmonized Recitation and Text Display. Applied Mathematics and Information Sciences, 18(3), 505–512. https://doi.org/10.18576/amis/180302
Sinai, N. (2017). The Qur’an: A Historical-Critical Introduction. Edinburgh University Press. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212730983&partnerID=40&md5=a21fde1ceb5ab73c4440175a64fcddac
Stowasser, B. F. (2011). Women in the Qur’an, Traditions, and Interpretation. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195111484.001.0001
Syahir, A. N. A., Abidin, M. S. Z., Sa’ari, C. Z., & Rahman, M. Z. A. (2025). Artificial Intelligence and Digital Transformation in Qur’anic Studies: A Systematic Literature Review. Quranica, 17(2 Special Issue), 542–585. https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018626724&partnerID=40&md5=4176bc4598585db3a6e882d6c7556edd
Tlili, S. (2012). Animals in the Qur’an. Cambridge University Press. https://doi.org/10.1017/CBO9781139152204
van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
van Eck, N. J., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(2), 1053–1070. https://doi.org/10.1007/s11192-017-2300-7
Van Eck, N. J., & Waltman, L. (2007). Bibliometric mapping of the computational intelligence field. International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems, 15(5), 625–645. https://doi.org/10.1142/S0218488507004911
Verbeek, A., Debackere, K., Luwel, M., & Zimmermann, E. (2002). Measuring progress and evolution in science and technology - I: The multiple uses of bibliometric indicators. International Journal of Management Reviews, 4(2), 179–211. https://doi.org/10.1111/1468-2370.00083
Ware, R. T. (2014). The walking Quran. University of North Carolina Press. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944738989&partnerID=40&md5=2bd1f03d6ecba022454980fae18ba6ff
Wu, Y. C. J., & Wu, T. (2017). A decade of entrepreneurship education in the Asia Pacific for future directions in theory and practice. In Management Decision (Vol. 55, Issue 7, pp. 1333–1350). https://doi.org/10.1108/MD-05-2017-0518
Yahya, M. A. B., Mohamad, S., Malik, M. N. H. B. A., Bidin, S. A., & Muna, A. C. (2025). Empowering the Tradition of Quran Memorization through Artificial Intelligence (AI): A Conceptual and Contemporary Review. Quranica, 17(2 Special Issue 14), 447–475. https://www.scopus.com/inward/record.uri?eid=2-s2.0-105019698739&partnerID=40&md5=157fbacfa4ad68effb06eeef78f88d11
Yahya, W. B. M. H. M., Rahman, T., & Siddiq, A. A. (2021). Online learning in the quran reading class during Covid-19 pandemic. International Journal of Learning, Teaching and Educational Research, 20(5), 142–158. https://doi.org/10.26803/IJLTER.20.5.8
Yusof, R. J. R., Norasid, M. A., Abdullah, M., Nasaruddin, N. A. A., Hisham, N. B., Saged, A. A. G., & Ramchahi, A. A. (2025). Digital Al-Qur’an Applications and Artificial Intelligence (AI): An Overview. Quranica, 17(2), 646–676. https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018608927&partnerID=40&md5=68ec150c827544ea7ab1a10c64a96c8a
