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Abramo, G.; D'Angelo, C.A.; Viel, F.: Assessing the accuracy of the h- and g-indexes for measuring researchers' productivity (2013) 0.01
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Abstract

Bibliometric indicators are increasingly used in support of decisions about recruitment, career advancement, rewards, and selective funding for scientists. Given the importance of the applications, bibliometricians are obligated to carry out empirical testing of the robustness of the indicators, in simulations of real contexts. In this work, we compare the results of national-scale research assessments at the individual level, based on the following three different indexes: the h-index, the g-index, and "fractional scientific strength" (FSS), an indicator previously proposed by the authors. For each index, we construct and compare rankings lists of all Italian academic researchers working in the hard sciences during the period 2001-2005. The analysis quantifies the shifts in ranks that occur when researchers' productivity rankings by simple indicators such as the h- or g-indexes are compared with those by more accurate FSS.
Abramo, G.; D'Angelo, C.A.; Di Costa, F.: Testing the trade-off between productivity and quality in research activities (2009) 0.01
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Abstract

In recent years there has been an increasingly pressing need for the evaluation of results from public-sector research activity, particularly to permit the efficient allocation of ever scarcer resources. Many of the studies and evaluation exercises that have been conducted at the national and international levels emphasize the quality dimension of research output, while neglecting that of productivity. This work is intended to test for the possible existence of correlation between quantity and quality of scientific production and determine whether the most productive researchers are also those that achieve results that are qualitatively better than those of their colleagues. The analysis proposed refers to the entire Italian university system and is based on the observation of production in the hard sciences by more than 26,000 researchers in the period 2001-2005. The results show that the output of more-productive researchers is superior in quality than that of less-productive researchers. The relation between productivity and quality results is largely insensitive to the types of indicators or the test methods applied and also seems to differ little among the various disciplines examined.

D'Angelo, C.A.; Giuffrida, C.; Abramo, G.: ¬A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments (2011) 0.01

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Date: 22. 1.2011 13:06:52

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