IJBTT

Bibliometric Analysis of Artificial Intelligence and Focus in Morocco: A Comprehensive Study (2014-2023)
	© 2024 by IJCTT Journal
	Volume-72 Issue-8
	Year of Publication : 2024
	Authors : Samiya TAMTAM, Ahmed LAGUIDI, Abderafiaa ELKALAY
	DOI :  10.14445/22312803/IJCTT-V72I8P133

How to Cite?

Samiya TAMTAM, Ahmed LAGUIDI, Abderafiaa ELKALAY, "Bibliometric Analysis of Artificial Intelligence and Focus in Morocco: A Comprehensive Study (2014-2023) ," International Journal of Computer Trends and Technology, vol. 72, no. 8, pp. 237-250, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I8P133

Abstract
This bibliometric analysis investigates the worldwide output of scientific exploration in the field of Artificial Intelligence (AI). By examining databases such as Scopus for academic articles from 2014 to 2023, the findings demonstrate a remarkable surge in global AI research, with notable countries, including China and the United States, emerging as major players. The examination of 1084008 articles on Scopus reveals a continuous growth trend spanning from 2014 to 2023, offering a comprehensive overview of patterns, significant contributors, international collaborations, and the progression of AI research.

Keywords
Artificial intelligence, Data analysis, Scopus, Scientific evolution, Bibliometric analysis.

Reference

[1] AI Watch: Global Regulatory Tracker – France, White & Case, 2024. [Online]. Available: https://www.whitecase.com/insight-our-thinking/ai-watch-global-regulatory-tracker-france
[2] AI for Earth: Helping Save the Planet with Data Science, Microsoft Stories Asia. [Online]. Available: https://news.microsoft.com/apac/features/ai-for-earth-helping-save-the-planet-with-data-science/
[3] Hassan Khosravi et al., “Explainable Artificial Intelligence in Education,” Computers and Education: Artificial Intelligence, vol. 3, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Warren S. McCulloch, and Walter Pitts, “A Logical Calculus of the Ideas Immanent in Nervous Activity,” The Bulletin of Mathematical Biophysics, vol. 5, pp. 115‑133, 1943.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Alan M. Turing, Computing Machinery and Intelligence, Parsing the Turing Test, Springer Netherlands, pp. 23-65, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Artificial Intelligence (AI) Coined at Dartmouth, Dartmouth. [Online]. Available: https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouth
[7] Gio Wiederhold, and John McCarthy, “Arthur Samuel: Pioneer in Machine Learning,” IBM Journal of Research and Development, vol. 36, no. 3, p. 329‑331, 1992.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Deep Blue, IBM. [Online]. Available : https://www.ibm.com/history/deep-blue
[9] Hasnan Baber et al., “The Beginning of ChatGPT – A Systematic and Bibliometric Review of the Literature,” Information and Learning Sciences, vol. 125, no. 7/8, pp. 587-614, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Ivan Manuel De La Vega Hernández, Angel Serrano Urdaneta, and Elias Carayannis, “Global Bibliometric Mapping of the Frontier of Knowledge in the Field of Artificial Intelligence for the Period 1990–2019,” Artificial Intelligence Review, vol. 56, pp. 1699‑1729, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Diego Rodríguez-Gracia et al., “Review of Artificial Intelligence Techniques in Green/Smart Buildings,” Sustainable Computing : Informatics and Systems, vol. 38, p. 100861, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Juan-Jose Prieto-Gutierrez, Francisco Segado-Boj, and Fabiana Da Silva França, “Artificial Intelligence in Social Science: A Study based on Bibliometrics Analysis,” Human Technology, vol. 19, no. 2, pp. 149‑162, 2023.
[CrossRef] [Publisher Link]
[13] Laberiano Andrade-Arenas, and Cesar Yactayo-Arias, “A Bibliometric Analysis of the Advance of Artificial Intelligence in Medicine,” International Journal of Electrical and Computer Engineering, vol. 14, no. 3, p. 3350, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Alina Georgiana Manta et al., “Industry 4.0 Transformation: Analysing the Impact of Artificial Intelligence on the Banking Sector through Bibliometric Trends,” Electronics, vol. 13, no. 9, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Alejandro Valencia-Arias et al., “Machine Learning and Blockchain: A Bibliometric Study on Security and Privacy,” Information, vol. 15, no. 1, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Abdur Rahman et al., “A Comprehensive Bibliometric and Content Analysis of Artificial Intelligence in Language Learning: Tracing Between the Years 2017 and 2023,” Artificial Intelligence Review, vol. 57, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Jeroen Baas et al., “Scopus as a Curated, High-quality Bibliometric Data Source for Academic Research in Quantitative Science Studies,” Quantitative Science Studies, vol. 1, no. 1, pp. 377‑386, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[18] What are the Most Used Subject Area Categories and Classifications in Scopus?, Scopus: Access and use Support Center. [Online]. Available : https://service.elsevier.com/app/answers/detail/a_id/14882/supporthub/scopus/kw/What+are+the+most+used+Subject+Area+categories +and+classifications+in+Scopus%3F%2C%C2%BB/
[19] What are Scopus Subject Area Categories and ASJC Codes?, Scopus: Access and use Support Center. [Online]. Available : https://service.elsevier.com/app/answers/detail/a_id/12007/supporthub/scopus/
[20] What is the Complete List of Scopus Subject Areas and All Science Journal Classification Codes (ASJC)?, Scopus: Access and use Support Center. [Online]. Available : https://service.elsevier.com/app/answers/detail/a_id/15181/supporthub/scopus/
[21] Using the Lens Database for Staff Publications, About The Lens. [Online]. Avilable : https://about.lens.org/using-the-lens-database-forstaff-publications/ [22] Naveen Donthu et al., “How to Conduct a Bibliometric Analysis: An Overview and Guidelines,” Journal of Business Research, vol. 133, pp. 285‑296, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Herve Rostaing, La Bibliométrie et Ses Techniques, 1996. [Online]. Available : https://hal.science/hal-01579948
[24] Zehui Huang et al., “Permeability Prediction with Artificial Neural Network Modeling in the Venture Gas Field, Offshore Eastern Canada,” GEOPHYSICS, vol. 61, no. 2, pp. 422‑436, 1996.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Kaiming He et al., “Deep Residual Learning for Image Recognition,” 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770‑778, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Sustainable Development Goals (SDG) FAQs, SciVal Support Center. [Online]. Available : https://service.elsevier.com/app/answers/detail/a_id/29398/supporthub/scival/