Experimenting with the partnership ability φ-index on a million computer scientists

Authors:
Guillaume Cabanac
Affiliations:
Computer Science Department, IRIT UMR 5505 CNRS, University of Toulouse, Toulouse Cedex 9, France 31062
Venue:
Scientometrics
Year:
2013

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Abstract

Schubert introduced the partnership ability 驴-index relying on a researcher's number of co-authors and collaboration rate. As a Hirsch-type index, 驴 was expected to be consistent with Schubert---Glänzel's model of h-index. Schubert demonstrated this relationship with the 34 awardees of the Hevesy medal in the field of nuclear and radiochemistry (r 2 = 0.8484). In this paper, we upscale this study by testing the 驴-index on a million researchers in computer science. We found that the Schubert---Glänzel's model correlates with the million empirical 驴 values (r 2 = 0.8695). In addition, machine learning through symbolic regression produces models whose accuracy does not exceed a 6.1 % gain (r 2 = 0.9227). These results suggest that the Schubert---Glänzel's model of 驴-index is accurate and robust on the domain-wide bibliographic dataset of computer science.