Ranking Journals in Economics, Management and Political Science by Social Choice Theory Methods

39 Pages Posted: 17 May 2014 Last revised: 19 May 2014

See all articles by Fuad T. Aleskerov

Fuad T. Aleskerov

National Research University Higher School of Economics

Vladimir Pislyakov

National Research University Higher School of Economics

Andrey Subochev

National Research University Higher School of Economics

Date Written: May 16, 2014

Abstract

Data on economic, management and political science journals are used to produce quantitative estimates of (in)consistency of evaluations based on seven popular bibliometric indicators. This paper proposes a new approach to the construction of aggregate journal rankings: aggregation is considered to be a multicriteria decision problem and ordinal ranking methods from social choice theory are employed to solve it. We apply either a direct ranking method based on majority rule (e.g. the Copeland rule, the Markovian method) or a multistage procedure of selection and exclusion of the best journals, as determined by a majority rule-based social choice solution concept (tournament solution), such as the uncovered set and the minimal externally stable set. We use the same method to analyze correlations of rankings and 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.

Keywords: journal ranking, citedness, bibliometric indicators, rank aggregation, multicriteria choice, social choice rules

JEL Classification: ะก65

Suggested Citation

Aleskerov, Fuad T. and Pislyakov, Vladimir and Subochev, Andrey, Ranking Journals in Economics, Management and Political Science by Social Choice Theory Methods (May 16, 2014). Higher School of Economics Research Paper No. WP BRP 27/STI/2014. Available at SSRN: https://ssrn.com/abstract=2437850 or http://dx.doi.org/10.2139/ssrn.2437850

Fuad T. Aleskerov

National Research University Higher School of Economics ( email )

20 Myasnitskaya Ulitsa
Moscow, 101000
Russia

Vladimir Pislyakov

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 101000
Russia

HOME PAGE: http://www.hse.ru/staff/pislyakov

Andrey Subochev (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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