Search (9 results, page 1 of 1)

  • × author_ss:"Egghe, L."
  1. Egghe, L.: Dynamic h-index : the Hirsch index in function of time (2007) 0.03
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.3, S.452-454
    Year
    2007
  2. Egghe, L.; Rousseau, R.; Rousseau, S.: TOP-curves (2007) 0.03
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.777-785
    Year
    2007
  3. Egghe, L.: Existence theorem of the quadruple (P, R, F, M) : precision, recall, fallout and miss (2007) 0.02
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    Source
    Information processing and management. 43(2007) no.1, S.265-272
    Year
    2007
  4. Egghe, L.: Untangling Herdan's law and Heaps' law : mathematical and informetric arguments (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.702-709
    Year
    2007
  5. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.02
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    Date
    14. 2.2012 12:53:22
  6. Egghe, L.; Ravichandra Rao, I.K.: Study of different h-indices for groups of authors (2008) 0.02
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    Abstract
    In this article, for any group of authors, we define three different h-indices. First, there is the successive h-index h2 based on the ranked list of authors and their h-indices h1 as defined by Schubert (2007). Next, there is the h-index hP based on the ranked list of authors and their number of publications. Finally, there is the h-index hC based on the ranked list of authors and their number of citations. We present formulae for these three indices in Lotkaian informetrics from which it also follows that h2 < hp < hc. We give a concrete example of a group of 167 authors on the topic optical flow estimation. Besides these three h-indices, we also calculate the two-by-two Spearman rank correlation coefficient and prove that these rankings are significantly related.
  7. Egghe, L.: ¬A model for the size-frequency function of coauthor pairs (2008) 0.02
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    Abstract
    Lotka's law was formulated to describe the number of authors with a certain number of publications. Empirical results (Morris & Goldstein, 2007) indicate that Lotka's law is also valid if one counts the number of publications of coauthor pairs. This article gives a simple model proving this to be true, with the same Lotka exponent, if the number of coauthored papers is proportional to the number of papers of the individual coauthors. Under the assumption that this number of coauthored papers is more than proportional to the number of papers of the individual authors (to be explained in the article), we can prove that the size-frequency function of coauthor pairs is Lotkaian with an exponent that is higher than that of the Lotka function of individual authors, a fact that is confirmed in experimental results.
  8. Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996) 0.01
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    Source
    Journal of information science. 22(1996) no.3, S.165-170
  9. Egghe, L.: ¬A universal method of information retrieval evaluation : the "missing" link M and the universal IR surface (2004) 0.01
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    Date
    14. 8.2004 19:17:22