Search (2 results, page 1 of 1)

  • × author_ss:"D'Angelo, C.A."
  • × theme_ss:"Informetrie"
  • × year_i:[2010 TO 2020}
  1. 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 
    0.008496759 = product of:
  0.042483795 = sum of:
    0.042483795 = weight(_text_:22 in 4190) [ClassicSimilarity], result of:
      0.042483795 = score(doc=4190,freq=2.0), product of:
        0.18300882 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.052260913 = queryNorm
        0.23214069 = fieldWeight in 4190, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.046875 = fieldNorm(doc=4190)
  0.2 = coord(1/5)
    Date
    22. 1.2011 13:06:52
  2. Abramo, G.; D'Angelo, C.A.: ¬The VQR, Italy's second national research assessment : methodological failures and ranking distortions (2015) 0.01 
    0.005796136 = product of:
  0.028980678 = sum of:
    0.028980678 = weight(_text_:it in 2256) [ClassicSimilarity], result of:
      0.028980678 = score(doc=2256,freq=2.0), product of:
        0.15115225 = queryWeight, product of:
          2.892262 = idf(docFreq=6664, maxDocs=44218)
          0.052260913 = queryNorm
        0.19173169 = fieldWeight in 2256, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.892262 = idf(docFreq=6664, maxDocs=44218)
          0.046875 = fieldNorm(doc=2256)
  0.2 = coord(1/5)
    Abstract
    The 2004-2010 VQR (Research Quality Evaluation), completed in July 2013, was Italy's second national research assessment exercise. The VQR performance evaluation followed a pattern also seen in other nations, as it was based on a selected subset of products. In this work, we identify the exercise's methodological weaknesses and measure the distortions that result from them in the university performance rankings. First, we create a scenario in which we assume the efficient selection of the products to be submitted by the universities and, from this, simulate a set of rankings applying the precise VQR rating criteria. Next, we compare these "VQR rankings" with those that would derive from the application of more-appropriate bibliometrics. Finally, we extend the comparison to university rankings based on the entire scientific production for the period, as indexed in the Web of Science.

Authors