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On entropy research analysis: cross-disciplinary knowledge transfer
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 databa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133011/ https://www.ncbi.nlm.nih.gov/pubmed/30237641 http://dx.doi.org/10.1007/s11192-018-2860-1 |
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author | Basurto-Flores, R. Guzmán-Vargas, L. Velasco, S. Medina, A. Calvo Hernandez, A. |
author_facet | Basurto-Flores, R. Guzmán-Vargas, L. Velasco, S. Medina, A. Calvo Hernandez, A. |
author_sort | Basurto-Flores, R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6133011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-61330112018-09-18 On entropy research analysis: cross-disciplinary knowledge transfer Basurto-Flores, R. Guzmán-Vargas, L. Velasco, S. Medina, A. Calvo Hernandez, A. Scientometrics Article 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. Springer International Publishing 2018-08-06 2018 /pmc/articles/PMC6133011/ /pubmed/30237641 http://dx.doi.org/10.1007/s11192-018-2860-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Basurto-Flores, R. Guzmán-Vargas, L. Velasco, S. Medina, A. Calvo Hernandez, A. On entropy research analysis: cross-disciplinary knowledge transfer |
title | On entropy research analysis: cross-disciplinary knowledge transfer |
title_full | On entropy research analysis: cross-disciplinary knowledge transfer |
title_fullStr | On entropy research analysis: cross-disciplinary knowledge transfer |
title_full_unstemmed | On entropy research analysis: cross-disciplinary knowledge transfer |
title_short | On entropy research analysis: cross-disciplinary knowledge transfer |
title_sort | on entropy research analysis: cross-disciplinary knowledge transfer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133011/ https://www.ncbi.nlm.nih.gov/pubmed/30237641 http://dx.doi.org/10.1007/s11192-018-2860-1 |
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