Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019

• Published in: The Artificial intelligence review Vol. 56; no. 2; pp. 1699 - 1729
• Main Authors: De la Vega Hernández, Iván Manuel, Urdaneta, Angel Serrano, Carayannis, Elias
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.02.2023; Springer; Springer Nature B.V
• Subjects: Algorithms; Analysis; Artificial Intelligence; Bibliometrics; Computational linguistics; Computer Science; Data processing; Language processing; Natural language interfaces; Deep learning; Knowledge networks; Bibliometric mapping; Machine learning; Big Data; WoS; Radical changes; Artificial intelligence
• ISSN: 0269-2821; 1573-7462
• DOI: 10.1007/s10462-022-10206-4

Artificial Intelligence (AI) has emerged as a field of knowledge that is displacing and disrupting technologies, leading to changes in human life. Therefore, the purpose of this study is to scientifically map this topic and its ramifications, in order to analyze its growth. The study was developed under the bibliometric approach and considered the period 1990–2019. The steps followed were (i) Identification and selection of keyword terms in three methodological layers by a panel of experts. (ii) Design and application of an algorithm to identify these selected keywords in titles, abstracts, and keywords using terms in Web of Science to contrast them. (iii) Performing data processing based on the Journals of the Journal Citation Report during 2020. Knowing the evolution of a field of knowledge such as AI from a bibliometric study and subsequently establishing the ramifications of new research streams is in itself a relevant finding. Addressing a broad field of knowledge as AI from a multidisciplinary approach given the convergence it generates with other disciplines and specialties is of high strategic value for decision makers such as governments, academics, scientists, and entrepreneurs.