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Finance journal rankings: a paper affiliation methodology

Domingo Docampo (AtlantTIC Research Center for Information and Communications Technology, Universidade de Vigo, Vigo, Spain)
Vicente Safón (Department of Management, University of Valencia, Valencia, Spain) (Valencian Institute of Economic Research (Ivie), Valencia, Spain)

Managerial Finance

ISSN: 0307-4358

Article publication date: 25 February 2022

Issue publication date: 22 April 2022

255

Abstract

Purpose

In this paper, the authors use a new methodology, called paper affiliation index, to create finance journal ranking using expert judgment and research impact, both of which are based on secondary, objective measures, thus making it possible to produce lists every year without human manipulation at virtually no cost.

Design/methodology/approach

Bibliometrics. Python implementation.

Findings

A new ranking with 65 finance journals.

Research limitations/implications

This procedure helps to reduce bias and to deal with known problems associated with current methodologies. The data used in the methodology comes from public sources; the procedure is therefore easily replicable. This methodology is not subject-dependent and thus can be transferred to other realms of knowledge. Once the bibliometric institutional data has been gathered, the procedure is not computationally costly: a Python implementation of the algorithm executes the whole computation in a few seconds. Results seem to correct the pernicious Matthew effect which is so evident in citation-based methods.

Originality/value

The institutional classification created includes all institutions that have contributed papers to the field of finance. The procedure helps to reduce bias and to deal with known problems associated with current methodologies. The data used in the methodology comes from public sources, the procedure is therefore easily replicable. The methodology is not subject-dependent and thus can be transferred to other realms of knowledge. Once the bibliometric institutional data has been gathered, the procedure is not computationally costly.

Keywords

Acknowledgements

The authors would like to thank the reviewers, whose suggestions significantly improved the paper.

Data availability: The datasets created and analyzed for this study may be found on Research Gate.

Funding: The work of Domingo Docampo has received financial support from the Xunta de Galicia (Centro singular de investigación de Galicia accreditation 2019-2022) and the European Union (European Regional Development Fund - ERDF). The work of Vicente Safón has received financial support from the Generalitat Valenciana (AICO/2021/309).

Citation

Docampo, D. and Safón, V. (2022), "Finance journal rankings: a paper affiliation methodology", Managerial Finance, Vol. 48 No. 5, pp. 760-783. https://doi.org/10.1108/MF-11-2021-0531

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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