High- and Low-Impact Citation Measures: Empirical Applications

Journal of Informetrics 5 (2011) 122–145

25 Pages Posted: 26 Aug 2014

See all articles by Pedro Albarrán

Pedro Albarrán

Universidad Carlos III de Madrid

Ignacio Ortuño Ortín

University of Alicante - Department of Economic Analysis

Javier Ruiz-Castillo

Universidad Carlos III de Madrid - Department of Economics; Universidad de Alicante

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Date Written: 2011

Abstract

This paper contains the first empirical applications of a novel methodology for comparing the citation distributions of research units working in the same homogeneous field. The paper considers a situation in which the world citation distribution in 22 scientific fields is partitioned into three geographical areas: the U.S., the European Union (EU), and the rest of the world (RW). Given a critical citation level (CCL), we suggest using two real valued indicators to describe the shape of each area’s distribution: a high- and a low-impact measure defined over the set of articles with citations below or above the CCL. It is found that, when the CCL is fixed at the 80th percentile of the world citation distribution, the U.S. performs dramatically better than the EU and the RW according to both indicators in all scientific fields. This superiority generally increases as we move from the incidence to the intensity and the citation inequality aspects of the phenomena in question. Surprisingly, changes observed when the CCL is increased from the 80th to the 95th percentile are of a relatively small order of magnitude. Finally, it is found that international co-authorship increases the high-impact and reduces the low-impact level in the three geographical areas. This is especially the case for the EU and the RW when they cooperate with the U.S.

Suggested Citation

Albarrán, Pedro and Ortuño Ortín, Ignacio and Ruiz-Castillo Ucelay, Javier, High- and Low-Impact Citation Measures: Empirical Applications (2011). Journal of Informetrics 5 (2011) 122–145, Available at SSRN: https://ssrn.com/abstract=2486982

Pedro Albarrán

Universidad Carlos III de Madrid ( email )

CL. de Madrid 126
Madrid, Madrid 28903
Spain

Ignacio Ortuño Ortín

University of Alicante - Department of Economic Analysis ( email )

03080 Alicante
Spain
+34 96 590 3400 (Phone)
+34 96 590 3898 (Fax)

Javier Ruiz-Castillo Ucelay (Contact Author)

Universidad Carlos III de Madrid - Department of Economics ( email )

Calle Madrid 126
Getafe, 28903
Spain
+ 34 916 249 588 (Phone)
+ 34 916 249 329 (Fax)

Universidad de Alicante

Campus de San Vicente
Carretera San Vicente del Raspeig
San Vicente del Raspeig, Alicante 03690
Spain

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