Artificial Intelligence and Industry: A bibliometrics analysis

Flores F.G.B.; Chacon V.Y.R.; Caqui A.C.A.; Palacios-Nunez M.L.; Alva L.G.P. · Proceedings of the 2024 IEEE 31st International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2024 (2024) · DOI: 10.1109/intercon63140.2024.10833457

Resumen

Artificial intelligence is revolutionizing many fields of knowledge, especially in the field of industry. Thus, the need arises to systematize this information and identify research trends. Therefore, the objective of the study was to determine the current state of the documents that relate artificial intelligence and the industry. To do this, a bibliometric analysis of 4,858 investigations published in Scopus between 2019 and 2023 was carried out. It is found that the number of documents published in 2022 multiplies 10 times compared to 2019. A trend is observed to develop literature review studies. Likewise, IEEE Access magazine has the largest number of publications, but Sustainability magazine is the most cited. On the other hand, the affiliations come mainly from Asian countries, although their publications are in foreign magazines. Regarding co-authorship by country, it is found that the United States and China have the greatest influence in the field of study with an increasingly accessible and collaborative nature, especially with countries such as India and the United Kingdom, as well as the existence of a recurrence of research on topics such as industry 4.0, machine learning, decision making and the pharmaceutical industry.

Instituciones: Universidad Peruana de Ciencias Aplicadas