A method for classifying ranked observations into rank- specific categories is presented. This method is independent of any particular bibliometric law, but it has interesting proper ties for citation rates having a Paretian (otherwise known as Lotka) distnbution. The method is applied to assess the emi nence of scientific journals.
Get full access to this article
View all access options for this article.
References
1.
A.I. Yablonsky , On fundamental regularities of the distribution of scientific productivity, Scientometrics2 (1) (1980) 3-34
2.
L. Egghe, Consequences of Lotka's Law for the Law of Bradford, J. Document41 (3) ( 1985) 173-189
3.
W. Glänzel , A. Telcs and A. Schubert, Characterization by truncated moments and its application to Pearson-type distributions, Z. Wahrscheinlichkeitstheorie verw. Gebiete, 66 (1984) 173-183
4.
A. Schubert , W. Glänzel and T. Braun, World flash on basic research. Subject field characteristic citation scores and scales for assessing research performance , Scientometrics12 ( 1987) 267-292.
5.
Science Citation Index 1983, Guide and Lists of Source Publications (Institute for Scientific Information, Philadelphia, 1984).
