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Teoría de la inteligencia artificial: un análisis bibliométrico

dc.contributor.authorRomero Riaño, Efrén
dc.contributor.authorRico Bautista, Dewar
dc.contributor.authorMartinez Toro, Mauricio
dc.contributor.authorMedina Cárdenas, Yurley
dc.contributor.authorRico Bautista, Nolfer
dc.coverage.spatialColombiaen_US
dc.date.accessioned2025-10-17T20:01:31Z
dc.date.available2025-10-17T20:01:31Z
dc.date.issued2021-10-01
dc.identifier.issn1742-6588en_US
dc.identifier.urihttps://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5798
dc.description.abstractEste artículo analiza la evolución de la investigación en inteligencia artificial desde la perspectiva bibliométrica. La bibliometría, como subcampo de la cienciometría, se define como el uso de métodos estadísticos para analizar datos de publicaciones. Se identificaron 8334 artículos, divididos en dos períodos: 2010-2014 y 2015-2019. Para identificar las tendencias de la investigación en inteligencia artificial, se combinan el análisis bibliométrico y el análisis de redes sociales para evaluar la situación actual y las tendencias de desarrollo. Los resultados revelaron las palabras clave con mayor frecuencia y aquellas con mayor fuerza de enlace a partir del análisis de conglomerados. Además, se observó que el estudio de la inteligencia artificial es un campo en constante crecimiento, y se identificaron las palabras clave que dominan el área de conocimiento. Los resultados de este estudio facilitarán la comprensión del progreso y las tendencias en inteligencia artificial a los investigadores interesados ​​en comprender su evolución.en_US
dc.language.isoengen_US
dc.relationhttps://iopscience.iop.org/article/10.1088/1742-6596/2046/1/012078/pdfen_US
dc.titleTeoría de la inteligencia artificial: un análisis bibliométricoen_US
dc.title.translatedArtificial intelligence theory: a bibliometric analysisen_US
dc.contributor.cvlacEfrén Romero Riaño [0001423333]en_US
dc.contributor.cvlacDewar Rico Bautista [0000255815]en_US
dc.contributor.cvlacMauricio Martinez Toro [0001489133]en_US
dc.contributor.cvlacYurley Medina Cárdenas [0001355232]en_US
dc.contributor.cvlacNolfer Rico Bautista [0000032613]en_US
dc.contributor.googlescholarDewar Rico Bautista [q_ZtKjsAAAAJ]en_US
dc.contributor.googlescholarMauricio Martinez Toro [NKXdCogAAAAJ]en_US
dc.contributor.googlescholarYurley Medina Cárdenas [8osAHUkAAAAJ]en_US
dc.contributor.orcidEfrén Romero Riaño [0000-0002-3627-9942]en_US
dc.contributor.orcidDewar Rico Bautista [0000-0002-1808-3874]en_US
dc.contributor.orcidYurley Medina Cárdenas [0000-0002-2772-3220]en_US
dc.contributor.orcidNolfer Rico Bautista [0000-0002-6043-2871]en_US
dc.contributor.researchgateEfrén Romero Riaño [Efren-Riano]en_US
dc.contributor.researchgateDewar Rico Bautista [Dewar-Rico-Bautista]en_US
dc.contributor.researchgateYurley Medina Cárdenas [Yurley-Medina-Cardenas]en_US
dc.contributor.researchgateNolfer Rico Bautista [Nolfer-Rico-Bautista]en_US
dc.contributor.scopusEfrén Romero Riaño [57205706551]en_US
dc.contributor.scopusDewar Rico Bautista [58689228900]en_US
dc.contributor.scopusMauricio Martinez Toro [57205705742]en_US
dc.contributor.scopusYurley Medina Cárdenas [56521663500]en_US
dc.contributor.scopusNolfer Rico Bautista [57208283637]en_US
dc.description.abstractenglishThis article analyzes the evolution of artificial intelligence research from a bibliometric perspective. Bibliometrics, as a subfield of scientometrics, is defined as the use of statistical methods to analyze publication data. A total of 8,334 articles were identified, divided into two periods: 2010–2014 and 2015–2019. To identify trends in artificial intelligence research, bibliometric analysis and social network analysis were combined to assess the current situation and development trends. The results revealed the most frequently used keywords and those with the highest link strength based on cluster analysis. Furthermore, it was observed that the study of artificial intelligence is a constantly growing field, and the keywords that dominate the area of ​​knowledge were identified. The results of this study will facilitate understanding of the progress and trends in artificial intelligence for researchers interested in understanding its evolution.en_US
dc.subject.proposalanálisis bibliométricoen_US
dc.subject.proposalinteligencia artificialen_US
dc.subject.proposalcienciometríaen_US
dc.subject.keywordsbibliometric analysisen_US
dc.subject.keywordsartificial intelligenceen_US
dc.subject.keywordsScientometricsen_US
dc.publisher.facultyFacultad ingenieríasen_US
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTen_US
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dc.identifier.DOI10.1088/1742-6596/2046/1/012078en_US


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