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  • × author_ss:"Abramo, G."
  • × theme_ss:"Informetrie"
  1. Abramo, G.; D'Angelo, C.A.; Di Costa, F.: ¬A new approach to measure the scientific strengths of territories (2015) 0.02 
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    Abstract
    The current work applies a method for mapping the supply of new knowledge from public research organizations, in this case from Italian institutions at the level of regions and provinces (NUTS2 and NUTS3). Through the analysis of scientific production indexed in the Web of Science for the years 2006-2010, the new knowledge is classified in subject categories and mapped according to an algorithm for the reconciliation of authors' affiliations. Unlike other studies in the literature based on simple counting of publications, the present study adopts an indicator, Scientific Strength, which takes account of both the quantity of scientific production and its impact on the advancement of knowledge. The differences in the results that arise from the 2 approaches are examined. The results of works of this kind can inform public research policies, at national and local levels, as well as the localization strategies of research-based companies.
  2. Abramo, G.; D'Angelo, C.A.; Di Costa, F.: Testing the trade-off between productivity and quality in research activities (2009) 0.00 
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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.
  3. D'Angelo, C.A.; Giuffrida, C.; Abramo, G.: ¬A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments (2011) 0.00 
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    Date
    22. 1.2011 13:06:52

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