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High - and low-impact citation measures: empirical applications

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  • Pedro Albarrán
  • Ignacio Ortuño
  • Javier Ruiz-Castillo

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.

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Bibliographic Info

Paper provided by Universidad Carlos III, Departamento de Economía in its series Economics Working Papers with number we10_09.

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Date of creation: May 2010
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Handle: RePEc:cte:werepe:we10_09

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  1. Pedro Albarran & Ignacio Ortuno & Javier Ruiz-Castillo, 2009. "The measurement of low- and high-impact in citation distributions: technical results," Economics Working Papers we095735, Universidad Carlos III, Departamento de Economía.
  2. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
  3. Pedro Albarrán & Javier Ruiz-Castillo, 2009. "References made and citations received by scientific articles," Economics Working Papers we094581, Universidad Carlos III, Departamento de Economía.
  4. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
  5. Moed, H. F. & Burger, W. J. M. & Frankfort, J. G. & Van Raan, A. F. J., 1985. "The use of bibliometric data for the measurement of university research performance," Research Policy, Elsevier, vol. 14(3), pages 131-149, June.
  6. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
  7. Albarrán, Pedro & Crespo, Juan A. & Ortuño-Ortín, Ignacio & Ruiz-Castillo, Javier, 2010. "The Skewness of Science in 219 Sub-Fields and a Number of Aggregates," CEPR Discussion Papers 8126, C.E.P.R. Discussion Papers.
  8. Foster, James E & Shorrocks, Anthony F, 1991. "Subgroup Consistent Poverty Indices," Econometrica, Econometric Society, vol. 59(3), pages 687-709, May.
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Cited by:
  1. Neus Herranz & Javier Ruiz-Castillo, 2011. "Multiplicative and fractional strategies when journals are assigned to several sub-fields," Economics Working Papers we1120, Universidad Carlos III, Departamento de Economía.
  2. Neus Herranz & Javier Ruiz-Castillo, 2011. "The end of the "European paradox"," Economics Working Papers we1127, Universidad Carlos III, Departamento de Economía.
  3. Herranz, Neus & Ruiz-Castillo, Javier, 2011. "Sub-field normalization in the multiplicative case: Average-based citation indicators," CEPR Discussion Papers 8715, C.E.P.R. Discussion Papers.
  4. Ruiz-Castillo, Javier, 2011. "The Evaluation of Citation Distributions," CEPR Discussion Papers 8681, C.E.P.R. Discussion Papers.

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