Search (7 results, page 1 of 1)

  • × author_ss:"Schreiber, M."
  • × language_ss:"e"
  • × year_i:[2010 TO 2020}
  1. Schreiber, M.: Uncertainties and ambiguities in percentiles and how to avoid them (2013) 0.02 
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    Date
    22. 3.2013 19:52:05
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.640-643
  2. Waltman, L.; Schreiber, M.: On the calculation of percentile-based bibliometric indicators (2013) 0.00 
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    Abstract
    A percentile-based bibliometric indicator is an indicator that values publications based on their position within the citation distribution of their field. The most straightforward percentile-based indicator is the proportion of frequently cited publications, for instance, the proportion of publications that belong to the top 10% most frequently cited of their field. Recently, more complex percentile-based indicators have been proposed. A difficulty in the calculation of percentile-based indicators is caused by the discrete nature of citation distributions combined with the presence of many publications with the same number of citations. We introduce an approach to calculating percentile-based indicators that deals with this difficulty in a more satisfactory way than earlier approaches suggested in the literature. We show in a formal mathematical framework that our approach leads to indicators that do not suffer from biases in favor of or against particular fields of science.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.372-379
  3. Schreiber, M.: Inconsistencies in the highly cited publications indicator (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.6, S.1298-1302
  4. Schreiber, M.: Do we need the g-index? (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2396-2399
  5. Schreiber, M.: Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.4, S.861-867
  6. Schreiber, M.: ¬A variant of the h-index to measure recent performance (2015) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2373-2380
  7. Schreiber, M.: Inconsistencies of recently proposed citation impact indicators and how to avoid them (2012) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.10, S.2062-2073