References made and citations received by scientific articles
AbstractThis paper studies massive evidence about references made and citations received after a five-year citation window by 3.7 million articles published in 1998-2002 in 22 scientific fields. We find that the distributions of references made and citations received share a number of basic features across sciences. Reference distributions are rather skewed to the right, while citation distributions are even more highly skewed: the mean is about 20 percentage points to the right of the median, and articles with a remarkable or outstanding number of citations represent about 9% of the total. Moreover, the existence of a power law representing the upper tail of citation distributions cannot be rejected in 17 fields whose articles represent 74.7% of the total. Contrary to the evidence in other contexts, the value of the scale parameter is above 3.5 in 13 of the 17 cases. Finally, power laws are typically small but capture a considerable proportion of the total citations received.
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Bibliographic InfoPaper provided by Universidad Carlos III, Departamento de Economía in its series Economics Working Papers with number we094581.
Date of creation: Dec 2009
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-01-30 (All new papers)
- NEP-HPE-2010-01-30 (History & Philosophy of Economics)
- NEP-SOG-2010-01-30 (Sociology of Economics)
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- Pedro Albarrán & Ignacio Ortuño & Javier Ruiz-Castillo, 2010.
"High - and low-impact citation measures: empirical applications,"
Economics Working Papers
we10_09, Universidad Carlos III, Departamento de Economía.
- Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "High- and low-impact citation measures: Empirical applications," Journal of Informetrics, Elsevier, vol. 5(1), pages 122-145.
- Albarrán, Pedro & Ortuño-Ortín, Ignacio & Ruiz-Castillo, Javier, 2010. "High- and Low-Impact Citation Measures: Empirical Applications," CEPR Discussion Papers 7886, C.E.P.R. Discussion Papers.
- Lafond, Francois, 2012. "Learning and the structure of citation networks," MERIT Working Papers 071, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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