The Herrero-Villar approach to citation impact

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Título: The Herrero-Villar approach to citation impact
Autor/es: Albarrán, Pedro | Herrero Blanco, Carmen | Ruiz-Castillo, Javier | Villar, Antonio
Grupo/s de investigación o GITE: Economía Laboral y Econometría (ELYE) | Análisis Económico
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Fundamentos del Análisis Económico
Palabras clave: Citation impact | Additive rules | Tournaments | Relative research performance | Worth
Área/s de conocimiento: Fundamentos del Análisis Económico
Fecha de publicación: may-2017
Editor: Elsevier
Cita bibliográfica: Journal of Informetrics. 2017, 11(2): 625-640. doi:10.1016/j.joi.2017.04.008
Resumen: This paper focuses on the evaluation of research institutions in terms of size-independent indicators. There are well-known procedures in this context, such as what we call additive rules, which provide an evaluation of the impact of any research unit in a scientific field based upon a partition of the field citations into ordered categories, along with some external weighting system to weigh those categories. We introduce here a new ranking procedure that is not an additive rule – the HV procedure, after Herrero & Villar (2013) – and compare it those conventional evaluation rules within a common setting. Given a set of ordered categories, the HV procedure measures the performance of the different research units in terms of the relative probability of getting more citations. The HV method also provides a complete, transitive and cardinal evaluation, without recurring to any external weighting scheme. Using a large dataset of publications in 22 scientific fields assigned to 40 countries, we compare the performance of several additive rules – the Relative Citation Rate, four percentile-based ranking procedures, and two average-based high-impact indicators – and the corresponding HV procedures under the same set of ordered categories. Comparisons take into account re-rankings, and differences in the outcome variability, measured by the coefficient of variation, the range, and the ratio between the maximum and minimum index values.
Patrocinador/es: The dataset has been acquired thanks to a grant by Santander Universities Global Division of Banco Santander. P. Albarrán acknowledges financial support from the Spanish MEC through grant ECO2014-58434-P. C. Herrero acknowledges financial support from Generalitat Valenciana under PROMETEO 2013/037, and from the Spanish MEC under project ECO2015-65820-P. J. Ruiz-Castillo acknowledges financial support from the Spanish MEC through grant ECO2014-55953-P, as well as grant MDM 2014-0431 to his Departamento de Economía, and grant MadEco-CM (S2015/HUM-3444) from the Comunidad Autónoma de Madrid. A. Villar acknowledges financial support from the Spanish MEC under project ECO2015-65408-R(MINECO/FEDER).
URI: http://hdl.handle.net/10045/68542
ISSN: 1751-1577 (Print) | 1875-5879 (Online)
DOI: 10.1016/j.joi.2017.04.008
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2017 Elsevier Ltd.
Revisión científica: si
Versión del editor: http://dx.doi.org/10.1016/j.joi.2017.04.008
Aparece en las colecciones:INV - ELYE - Artículos de Revistas
INV - Análisis Económico - Artículos de Revistas

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