Search (9 results, page 1 of 1)

  • × author_ss:"Prathap, G."
  • × theme_ss:"Informetrie"
  1. Prathap, G.: ¬The thermodynamics-bibliometrics consilience and the meaning of h-type indices (2012) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.430
  2. Prathap, G.: ¬The inconsistency of the H-index (2012) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1466-1470
  3. Prathap, G.: ¬A thermodynamic explanation for the Glänzel-Schubert model for the h-index (2011) 0.00 
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    Abstract
    Recently, it was shown that among existing theoretical models for the h-index, the Glänzel-Schubert model provides the best fit for a chosen example involving the research evaluation of universities. In this brief communication, we propose a thermodynamic explanation for the success of the Glänzel-Schubert model of the h-index.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.5, S.992-994
  4. Prathap, G.: Fractionalized exergy for evaluating research performance (2011) 0.00 
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    Abstract
    The approach based on "thermodynamic" considerations that can quantify research performance using an exergy term defined as X = iC, where i is the impact and C is the number of citations is now extended to cases where fractionalized counting of citations is used instead of integer counting.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.11, S.2294-2295
  5. Prathap, G.: ¬The zynergy-index and the formula for the h-index (2014) 0.00 
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    Abstract
    The h-index, as originally proposed (Hirsch, 2005), is a purely heuristic construction. Burrell (2013) showed that efforts to derive formulae from the mathematical framework of Lotkaian informetrics could lead to misleading results. On this note, we argue that a simple heuristic "thermodynamical" model can enable a better three-dimensional (3D) evaluation of the information production process leading to what we call the zynergy-index.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.2, S.426-427
  6. Prathap, G.: Quantity, quality, and consistency as bibliometric indicators (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.214
  7. Prathap, G.: Measures for bibliometric size, impact, and concentration (2015) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.8, S.1740-1741
  8. Prathap, G.: Measures for impact, consistency, and the h- and g-indices (2014) 0.00 
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    Abstract
    An altogether different view on the properties of a good performance measure than that given in Egghe (2012) is offered. Egghe argued that a good impact measure should reward nonconsistency; that is, the more citations over papers are unequally distributed, the higher the impact should be. Here, a quantitative proxy for consistency is offered, and it is shown that as consistency increases, the ideal performance measure, which is sensitive to changes in consistency, should increase, reflecting this virtue.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1076-1078
  9. Prathap, G.: ¬A three-class, three-dimensional bibliometric performance indicator (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1506-1508