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Item type:Publication, Bibliometric mapping of techno-scientific systems of small Latin American worlds(Emerald Publishing Limited, 2022-01-07)Purpose The purpose of this study was to compare the evolution of the scientific production of Costa Rica and Panama, from Central America and Paraguay and Uruguay, from South America in the period 2000–2018. To achieve this, first, a bibliometric mapping was performed using the Web of Science (WoS) database. Second, the triple helix model was used to determine whether there are similar patterns or marked differences in the distribution of this type of publications in the helices of government, academia and industry. Design/methodology/approach The steps followed in this study were as follows: design and application of an algorithm to perform WoS downloads; download the publications using the country descriptor; process data using R and VOSviewer; design of a profile of the selected countries based on indicators; and use of the triple helix model to determine the weight of the scientific production. Findings The data found corroborate that the small technoscientific worlds examined do not have the minimum Science & Technology personnel nor the capabilities in infrastructure and technological equipment, and that expenditure in this area is minimal and for these reasons, the production in the WoS is low. Originality/value Studying the small technoscientific worlds from a bibliometric perspective allows generating inputs to diagnose the state of these countries in this area, as no evidence of similar studies in these countries was found in Scopus or the WoS. Likewise, examining scientific production from the triple helix model makes it possible to identify the weaknesses of each actor, and the results can contribute to the design of better public policies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019(Springer Science+Business Media, 2022-06-08)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.