The study of adapting and utilizing h-index to research and innovation performance evaluation
Date Issued
2012
Date
2012
Author(s)
Kuan, Chung-Huei
Abstract
In this Dissertation, we start with a novel geometric interpretation to the ranking by h-index. Based on this interpretation, we design two shape descriptors, c-descriptor and t-descriptor, to represent a characteristic height for the h-core and the h-tail areas, respectively. With the verification of empirical data, we have demonstrated the differentiation capability of the h-index supplemented with the c- and t-descriptors to both innovation and research performance evaluation. We have further designed a two-dimensional scheme using the centroids of the h-core and h-tail areas with which a large number of individuals’ research or innovation performance can be observed and compared from their impact side and productivity side simultaneously. We have also developed two static analysis approaches for (1) quickly positioning a target individual’s performance; and (2) conveniently partitioning a group of individuals into qualitative categories. Subsequently, we further extend the area centroid idea to incorporate the un-cited articles and to trace the trajectories of area centroids over a period of time so as to monitor the performance evolution. Also based on the geometric interpretation, we have started a new line of research concerning the research and innovation performance evaluation spanning a number of fields. By twisting the perspective to the geometric interpretation, we consider that it is a set of the most visible articles of a field to result in the field’s h-index. We then consider this visibility set as a joint contribution from the accessed individuals, and determine their performance in the field as their ratios of contribution. A conceptual framework and two major implementations are thereby designed. We have found that the conceptual framework is reasonable, intuitive, self-contained, and applicable to both field-specific and cross-field performance evaluation in a unified manner.
Subjects
h-index
rank-citation curve
shape descriptor
area centroid
visibility contribution
cross-field performance
institutional evaluation
Type
thesis
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