Mostrar el registro sencillo del ítem

Industry 4.0: a perspective based on bibliometric analysis

dc.contributor.authorCobo Martín, Manuel Jesús 
dc.contributor.authorJürgens, Björn
dc.contributor.authorHerrero Solana, Víctor 
dc.contributor.authorMartínez Pérez, María Ángeles 
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2019-10-17T08:10:39Z
dc.date.available2019-10-17T08:10:39Z
dc.date.issued2018
dc.identifier.citationCobo, M. J., Jürgens, B., Herrero-Solana, V., Martínez, M. A., & Herrera-Viedma, E. (2018). Industry 4.0: a perspective based on bibliometric analysis. Procedia computer science, 139, 364-371.es_ES
dc.identifier.urihttp://hdl.handle.net/10481/57395
dc.description.abstractThe main aim of this contribution is to develop a co-words analysis of the Industry 4.0 research field in order to highlight the themes covered in the last five years (2013–2017). The software tool SciMAT is employed using an approach that allows us to uncover the main research themes and analyze them according to their performance and impact measures. An amount of 333 documents were retrieved from theWeb of Science. Our key findings are that the most important research themes were Cyber-Physical-Systems and Cloud-Computinges_ES
dc.description.sponsorshipThe authors would like to acknowledge FEDER funds under grant TIN2016-75850-R, and to the program of promotion and development of research activity of the University of Cádiz.es_ES
dc.language.isoenges_ES
dc.publisherElsevier BVes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectBibliometric analysises_ES
dc.subjectScience Mapping Analysises_ES
dc.subjectco-words analysises_ES
dc.subjectIndustry 4.0es_ES
dc.titleIndustry 4.0: a perspective based on bibliometric analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.procs.2018.10.278


Ficheros en el ítem

[PDF]
Nombre:
Cobo_Bibliometric Analysis.pdf
Tamaño:
660.7Kb
Formato:
PDF

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Atribución-NoComercial-SinDerivadas 3.0 España
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 3.0 España