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Regular version of the site

Book chapter

Ranking Journals Using Social Choice Theory Methods: A Novel Approach in Bibliometrics

P. 1266-1273.

We use data on economic, management and political science journals to produce quantitative estimates of (in)consistency of evaluations based on seven popular bibliometric indicators (impact factor, 5-year impact factor, immediacy index, article influence score, h-index, SNIP and SJR). We propose a new approach to aggregating journal rankings: since rank aggregation is a multicriteria decision problem, ordinal ranking methods from social choice theory may solve it. We apply either a direct ranking method based on majority rule (the Copeland rule, the Markovian method) or a sorting procedure based on a tournament solution, such as the uncovered set and the minimal externally stable set. We demonstrate that aggregate rankings reduce the number of contradictions and represent the set of single-indicator-based rankings better than any of the seven rankings themselves.

In book

Edited by: I. Ràfols, J. Molas-Gallart, E. Castro-Martínez et al. Valencia: Editorial Universitat Politècnica de València, 2016.