EconPapers    
Economics at your fingertips  
 

Bibliometric laws: Empirical flaws of fit

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 2, 209-229

Abstract: Summary The bibliometric laws of Zipf, Bradford, and Lotka, in their various mathematical expressions, frequently present difficulties in the fitting of empirical values. The empirical flaws of fit take place in the frequency of the words, in the productivity of the authors and the journals, as well as in econometric and demographic aspects. This indicates that the underlying fractal model should be revised, since, as shown, the inverse power equations (of the Zipf-Mandelbrot type) are not adequate, as they need to include exponential terms. These modifications not only affect Bibliometrics and Scientometrics, but also, for the generality of the fractal model, apply to Economy, Demography, and even Natural Sciences in general.

Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-005-0211-5 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_s11192-005-0211-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-005-0211-5

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:63:y:2005:i:2:d:10.1007_s11192-005-0211-5