Scientometrics
Volume/Issue:
Volume 2: Issue 1
On fundamental regularities of the distribution of scientific productivity
Author:
A. Yablonsky Institute for Systems Studies 29 Ryleyev Street 119 034 Moscow (USSR) 29 Ryleyev Street 119 034 Moscow (USSR)

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Pages:
3–34
Online Publication Date:
06 Aug 2005
Publication Date:
26 Jan 1980
Article Category:
Research Article
DOI:
https://doi.org/10.1007/bf02016597
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Abstract  

This paper presents a methodologicl and mathematical study of the main regularities related to the distribution of scientific productivity. An analysis of the se regularities is given from the point of view of two approaches, the frequency and the rank approaches, to the problem of scientific productivity. The connection between these approaches is studied and a number of mathematical formulas that are both of theoretical significance for the understanding of information data basis formation mechanisms and of practical one, in particular, for the estimate of Bradford's law parameters, are deduced. The relation between the scientific productivity distributions under consideration and the stable non-Gaussian distributions is analyzed. The formation of the corresponding regularities of scientific productivity is regarded as a consequence of probability process combined with deterministic one.

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Cover Scientometrics
Scientometrics
Print ISSN:
0138-9130
Online ISSN:
1588-2861

Scientometrics
Language English
Size B5
Year of
Foundation		 1978
Volumes
per Year		 1
Issues
per Year		 12
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)

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