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Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019
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 u...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175172/ https://www.ncbi.nlm.nih.gov/pubmed/35693001 http://dx.doi.org/10.1007/s10462-022-10206-4 |
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author | De la Vega Hernández, Iván Manuel Urdaneta, Angel Serrano Carayannis, Elias |
author_facet | De la Vega Hernández, Iván Manuel Urdaneta, Angel Serrano Carayannis, Elias |
author_sort | De la Vega Hernández, Iván Manuel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9175172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-91751722022-06-08 Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019 De la Vega Hernández, Iván Manuel Urdaneta, Angel Serrano Carayannis, Elias Artif Intell Rev Article 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. Springer Netherlands 2022-06-08 2023 /pmc/articles/PMC9175172/ /pubmed/35693001 http://dx.doi.org/10.1007/s10462-022-10206-4 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article De la Vega Hernández, Iván Manuel Urdaneta, Angel Serrano Carayannis, Elias Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019 |
title | Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019 |
title_full | Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019 |
title_fullStr | Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019 |
title_full_unstemmed | Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019 |
title_short | Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019 |
title_sort | global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175172/ https://www.ncbi.nlm.nih.gov/pubmed/35693001 http://dx.doi.org/10.1007/s10462-022-10206-4 |
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