A bibliometric literature review of integrated data and model based diagnosis approaches for the industry 4.0

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dc.contributor.authorLuis Enciso-Salas
dc.contributor.authorGustavo Pérez-Zúñiga
dc.contributor.authorJavier Sotomayor-Moriano
dc.contributor.authorÉlodie Chanthery
dc.contributor.authorEdgar Hernando Sepúlveda-Oviedo
dc.contributor.authorAudine Subias
dc.contributor.authorLouise Travé-Massuyès
dc.contributor.authorRodrigo García
dc.contributor.authorJosé Aguilar
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:44:17Z
dc.date.available2026-03-22T19:44:17Z
dc.date.issued2025
dc.description.abstractInternational audience
dc.identifier.doi10.1080/00207721.2025.2550562
dc.identifier.urihttps://doi.org/10.1080/00207721.2025.2550562
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/77821
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.ispartofInternational Journal of Systems Science
dc.sourcePontifical Catholic University of Peru
dc.subjectComputer science
dc.subjectManagement science
dc.subjectData science
dc.subjectBibliometrics
dc.subjectKnowledge management
dc.titleA bibliometric literature review of integrated data and model based diagnosis approaches for the industry 4.0
dc.typearticle

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