We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.

Additional Metadata
Keywords Pearson correlation, author cocitation analysis, cosine, information science, similarity measure
JEL Econometric and Statistical Methods: Other (jel C19), Business Administration and Business Economics; Marketing; Accounting (jel M), Production Management (jel M11), Transportation Systems (jel R4)
Publisher Erasmus Research Institute of Management
Persistent URL hdl.handle.net/1765/10889
Series ERIM Report Series Research in Management
Journal ERIM report series research in management Erasmus Research Institute of Management
Citation
van Eck, N.J.P, & Waltman, L. (2007). Appropriate Similarity Measures for Author Cocitation Analysis (No. ERS-2007-091-LIS). ERIM report series research in management Erasmus Research Institute of Management. Erasmus Research Institute of Management. Retrieved from http://hdl.handle.net/1765/10889