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Statistical modelling of citation exchange between statistics journals

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Varin, Cristiano, Cattelan, Manuela and Firth, David (2016) Statistical modelling of citation exchange between statistics journals. Journal of the Royal Statistical Society: Series A (Statistics in Society) , 179 (1). pp. 1-63. doi:10.1111/rssa.12124 ISSN 0964-1998.

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Official URL: http://dx.doi.org/10.1111/rssa.12124

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Abstract

Rankings of scholarly journals based on citation data are often met with scepticism by the scientific community. Part of the scepticism is due to disparity between the common perception of journals’ prestige and their ranking based on citation counts. A more serious concern is the inappropriate use of journal rankings to evaluate the scientific influence of researchers. The paper focuses on analysis of the table of cross-citations among a selection of statistics journals. Data are collected from the Web of Science database published by Thomson Reuters. Our results suggest that modelling the exchange of citations between journals is useful to highlight the most prestigious journals, but also that journal citation data are characterized by considerable heterogeneity, which needs to be properly summarized. Inferential conclusions require care to avoid potential overinterpretation of insignificant differences between journal ratings. Comparison with published ratings of institutions from the UK's research assessment exercise shows strong correlation at aggregate level between assessed research quality and journal citation ‘export scores’ within the discipline of statistics.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH): Bibliographical citations -- Statistical methods
Journal or Publication Title: Journal of the Royal Statistical Society: Series A (Statistics in Society)
Publisher: Wiley-Blackwell Publishing Ltd.
ISSN: 0964-1998
Official Date: January 2016
Dates:
DateEvent
January 2016Published
3 November 2015Available
Volume: 179
Number: 1
Number of Pages: 63
Page Range: pp. 1-63
DOI: 10.1111/rssa.12124
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 31 December 2015
Date of first compliant Open Access: 31 December 2015
Funder: Engineering and Physical Sciences Research Council (EPSRC), Università di Padova, Università degli studi di Venezia‏. Dipartimento di Scienze Ambientali, Informatica e Statistica
Grant number: EP/D002060/1 (EPSRC), CDPA131553 (UP)

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