Abstract
A method of grouping journals within a wide discipline area into clusters is proposed, based on a algorithm that attempts to re-order a citations matrix so that it is block diagonal, or block recursive. The algorithm is based on a penalty function which allows one to account for the level of citation, not just the distribution of citations between journals. A case study involving eight economics journals is presented which illustrates the principles involved, but which also highlights the computational problems associated with extending the analysis to larger numbers of journals.
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The permission of the Institute for Scientific Information to access data from theSocial Science Citations Index ® is gratefully acknowledged, as are the comments of a reviewer, who brought additional literature to my attention.
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Burton, M.P. The use of citations matrices to group journals. Scientometrics 33, 257–262 (1995). https://doi.org/10.1007/BF02020572
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DOI: https://doi.org/10.1007/BF02020572