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Zipf's law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia's research as an example
被引:27
|作者:
Perc, Matjaz
[1
]
机构:
[1] Univ Maribor, Fac Nat Sci & Math, Dept Phys, Koroska Cesta 160, SI-2000 Maribor, Slovenia
关键词:
Zipf's law;
Citation distribution;
g-Index;
h-Index;
Ranking;
H-INDEX;
ADVANTAGE;
NETWORKS;
D O I:
10.1016/j.joi.2010.03.001
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Slovenia's Current Research Information System (SICRIS) currently hosts 86,443 publications with citation data from 8359 researchers working on the whole plethora of social and natural sciences from 1970 till present. Using these data, we show that the citation distributions derived from individual publications have Zipfian properties in that they can be fitted by a power law P(x)similar to x(-alpha), with alpha between 2.4 and 3.1 depending on the institution and field of research. Distributions of indexes that quantify the success of researchers rather than individual publications, on the other hand, cannot be associated with a power law. We find that for Egghe's g-index and Hirsch's h-index the log-normal form P(x)similar to exp[-alnx - b(ln x)(2)] applies best, with a and b depending moderately on the underlying set of researchers. In special cases, particularly for institutions with a strongly hierarchical constitution and research fields with high self-citation rates, exponential distributions can be observed as well. Both indexes yield distributions with equivalent statistical properties, which is a strong indicator for their consistency and logical connectedness. At the same time, differences in the assessment of citation histories of individual researchers strengthen their importance for properly evaluating the quality and impact of scientific output. (C) 2010 Elsevier Ltd. All rights reserved.
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页码:358 / 364
页数:7
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