| dc.contributor.author | Basurto-Flores, Rogelio | |
| dc.contributor.author | Guzmán-Vargas, Lev | |
| dc.contributor.author | Velasco Maíllo, Santiago | |
| dc.contributor.author | Medina Domínguez, Alejandro | |
| dc.contributor.author | Calvo Hernández, Antonio | |
| dc.date.accessioned | 2018-10-16T07:54:50Z | |
| dc.date.available | 2018-10-16T07:54:50Z | |
| dc.date.issued | 2018-08-06 | |
| dc.identifier.citation | Basurto-Flores, R., Guzmán-Vargas, L., Velasco, S., Medina, A., Calvo, A. (2018). On entropy research analysis: cross-disciplinary knowledge transfer. Scientometrics, 117: 123 | es_ES |
| dc.identifier.issn | 1588-2861 | |
| dc.identifier.uri | http://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.sponsorship | EDI and COFAA from IPN México;
Consejería de Educación, Junta de Castilla y Leó, (SA017P17) | es_ES |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Springer Science+Business Media (Berlín, Alemania) | es_ES |
| dc.subject | Computer science | es_ES |
| dc.subject | Complex networks | es_ES |
| dc.subject | Scientific data | es_ES |
| dc.subject | Computational science | es_ES |
| dc.subject | Applied physics | es_ES |
| dc.title | On entropy research analysis: cross-disciplinary knowledge transfer | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.relation.publishversion | https://doi.org/10.1007/s11192-018-2860-1 | |
| dc.identifier.doi | 10.1007/s11192-018-2860-1 | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |