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dc.contributor.authorBasurto-Flores, Rogelio
dc.contributor.authorGuzmán-Vargas, Lev
dc.contributor.authorVelasco Maíllo, Santiago 
dc.contributor.authorMedina Domínguez, Alejandro 
dc.contributor.authorCalvo Hernández, Antonio 
dc.date.accessioned2018-10-16T07:54:50Z
dc.date.available2018-10-16T07:54:50Z
dc.date.issued2018-08-06
dc.identifier.citationBasurto-Flores, R., Guzmán-Vargas, L., Velasco, S., Medina, A., Calvo, A. (2018). On entropy research analysis: cross-disciplinary knowledge transfer. Scientometrics, 117: 123es_ES
dc.identifier.issn1588-2861
dc.identifier.urihttp://hdl.handle.net/10366/138620
dc.description.abstract[EN] Our aim is to illustrate how the thermodynamics-based concept of entropy has spread across different areas of knowledge by analyzing the distribution of papers, citations and the use of words related to entropy in the predefined Scopus categories. To achieve this, we analyze the Scopus papers database related to entropy research during the last 20 years, collecting 750 K research papers which directly contain or mention the word entropy. First, some well-recognized works which introduced novel entropy-related definitions are monitored. Then we compare the hierarchical structure which emerges for the different cases of association, which can be in terms of citations among papers, classification of papers in categories or key words in abstracts and titles. Our study allowed us to evaluate, to some extent, the utility and versatility of concepts such as entropy to permeate in different areas of science. Furthermore, the use of specific terms (key words) in titles and abstracts provided a useful way to account for the interaction between areas in the category research space.]es_ES
dc.description.sponsorshipEDI and COFAA from IPN México; Consejería de Educación, Junta de Castilla y Leó, (SA017P17)es_ES
dc.format.mimetypeapplication/pdf
dc.language.isoenges_ES
dc.publisherSpringer Science+Business Media (Berlín, Alemania)es_ES
dc.subjectComputer sciencees_ES
dc.subjectComplex networkses_ES
dc.subjectScientific dataes_ES
dc.subjectComputational sciencees_ES
dc.subjectApplied physicses_ES
dc.titleOn entropy research analysis: cross-disciplinary knowledge transferes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1007/s11192-018-2860-1
dc.identifier.doi10.1007/s11192-018-2860-1
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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