The Herrero-Villar approach to citation impact
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http://hdl.handle.net/10045/68542
Títol: | The Herrero-Villar approach to citation impact |
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Autors: | Albarrán, Pedro | Herrero, Carmen | Ruiz-Castillo, Javier | Villar, Antonio |
Grups d'investigació o GITE: | Economía Laboral y Econometría (ELYE) | Análisis Económico |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Fundamentos del Análisis Económico |
Paraules clau: | Citation impact | Additive rules | Tournaments | Relative research performance | Worth |
Àrees de coneixement: | Fundamentos del Análisis Económico |
Data de publicació: | de maig-2017 |
Editor: | Elsevier |
Citació bibliogràfica: | Journal of Informetrics. 2017, 11(2): 625-640. doi:10.1016/j.joi.2017.04.008 |
Resum: | 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. |
Patrocinadors: | 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 |
Tipus: | info:eu-repo/semantics/article |
Drets: | © 2017 Elsevier Ltd. |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.1016/j.joi.2017.04.008 |
Apareix a la col·lecció: | INV - ELYE - Artículos de Revistas INV - Análisis Económico - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2017_Albarran_etal_JInfometrics_final.pdf | Versión final (acceso restringido) | 720,24 kB | Adobe PDF | Obrir Sol·licitar una còpia |
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