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Citation patterns in economics and beyond

Published online by Cambridge University Press:  23 March 2020

Matthias Aistleitner
Affiliation:
Johannes Kepler University Linz, Institute for Comprehensive Analysis of the Economy (ICAE)
Jakob Kapeller*
Affiliation:
University of Duisburg-Essen, Institute for Socioeconomics & Johannes Kepler University Linz, Institute for Comprehensive Analysis of the Economy (ICAE)
Stefan Steinerberger
Affiliation:
Yale University, Department of Mathematics
*
*Corresponding author. E-mail: jakob.kapeller@uni-due.de
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Argument

In this paper we comparatively explore three claims concerning the disciplinary character of economics by means of citation analysis. The three claims under study are: (1) economics exhibits strong forms of institutional stratification and, as a byproduct, a rather pronounced internal hierarchy; (2) economists strongly conform to institutional incentives; and (3) modern mainstream economics is a largely self-referential intellectual project mostly inaccessible to disciplinary or paradigmatic outsiders. The validity of these claims is assessed by means of an interdisciplinary comparison of citation patterns aiming to identify peculiar characteristics of economic discourse. In doing so, we emphasize that citation data can always be interpreted in different ways, thereby focusing on the contrast between a “cognitive” and an “evaluative” approach towards citation data.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s) 2020
Figure 0

Figure 1. The intra-group citation behavior of five core economic journals. (The authors’ own calculation based on data from Clarivate Analytics.).

Figure 1

Figure 2. An interdisciplinary comparison on concentration – the intra-group citation behavior of five core journals in (a) psychology (multidisciplinary), (b) sociology, (c) political science, and (d) physics (multidisciplinary). (The authors’ own calculation based on data from Clarivate Analytics.).

Figure 2

Figure 3. Citation patterns in specialized physics journals – the intra-group citation behavior of five core field journals in physics. (The authors’ own calculation is based on data from Clarivate Analytics.).

Figure 3

Figure 4. Expected effect of a relative increase in journals’ prestige on observed citation patterns.

Figure 4

Figure 5. Change of citation patterns in top journals: 1980s vs. today. (The authors’ own graph is based on data from Clarivate Analytics.).

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Figure 6. Citation patterns in the 1980s and today: An aggregated comparison. (The authors’ own graph is based on data from Clarivate Analytics.).

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Figure 7. Publication output in the 1980s and today: An aggregated comparison. (The authors’ own graph based on data from Clarivate Analytics.).

Note: Published document types such as editorials, book reviews, bibliographies or biographic items were excluded in this analysis.*Includes sociology, political science and psychology (multidisciplinary).**Includes physics multidisciplinary, physics nuclear, physics atomic molecular chemical, physics condensed matter, and physics particles fields.***The Web of Science Category “Multidisciplinary Sciences” Includes journals that cover a broad spectrum of different specialties, such as PLoS ONE, PNAS, Nature, Science etc… The overlap with other categories (e.g. social sciences, physics) is marginal in both periods (8.1 percent and 3.1 percent of all papers respectively).
Figure 7

Figure 8. Citation patterns in economics and other disciplines: a large scale sample. Authors’ own graph based on data from Wallace et al. (2012).11.

Figure 8

Figure 9. Diversity and the interaction pattern between economic mainstream and heterodox journals. (a) the discourse between a sample of top 13 orthodox and top 13 heterodox journals (1989-2008; taken from Dobusch & Kapeller 2012b). (b) replication with a corresponding control group (1989-2008; the authors’ own calculation based on data from Clarivate Analytics). (c) replication for the post-crisis period (2009-2013; the authors’ own calculation based on data from Clarivate Analytics). (d) Analysis of a large-scale journal sample (1969-2013; taken from Aigner & Glötzl, in this issue).14