Analysis of the field of physical chemistry of surfactants with the Unified Scienctometric Model. Fit of relational and activity indicators
R. Bailón-Moreno,
E. Jurado-Alameda,
R. Ruiz-Baños and
J. P. Courtial
Additional contact information
R. Bailón-Moreno: Departamento de Ingeniería Química. Facultad de Ciencias, Campus de Fuentenueva Universidad de Granada
E. Jurado-Alameda: Departamento de Ingeniería Química. Facultad de Ciencias, Campus de Fuentenueva Universidad de Granada
R. Ruiz-Baños: Departamento de Biblioteconomía y Documentación, Facultad de Biblioteconomía y Documentación, Universidad de Granada
J. P. Courtial: Laboratoire de Psychologie - Education - Cognition Développement (LabECD), Université de Nantes
Scientometrics, 2005, vol. 63, issue 2, No 4, 259-276
Abstract:
Summary By the information system of CoPalRed© and with the treatment of 63,543 bibliographical references of scientific articles, the field of surfactants has been analysed in the light of the Unified Scientometric Model. It was found that the distributions of actors (countries, centres, and research laboratories, journals, researchers, key words of documents) fit Zif's Unified Law better than the Zipf-Mandelbrot Law. The model showed an especially good fit for relational indicators such as density and centrality. Using the Unified Bradford Law, the three zones fit were: core, straight fraction, and Groos droop. The fractality index was used to verify that Science can present fractal as well as transfractal structures. In conclusion, the Unified Scientometric Model is, for its flexibility and its integrating capacity, an appropriate model for representing Science, joining non-relational with relational Scientometrics under the same paradigm.
Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-005-0212-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:63:y:2005:i:2:d:10.1007_s11192-005-0212-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-005-0212-4
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().