Search (8 results, page 1 of 1)

  • × author_ss:"Egghe, L."
  1. Egghe, L.: Expansion of the field of informetrics : origins and consequences (2005) 0.03
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    Source
    Information processing and management. 41(2005) no.6, S.1311-1316
    Year
    2005
  2. Egghe, L.: Relations between the continuous and the discrete Lotka power function (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.664-668
    Year
    2005
  3. Egghe, L.: Zipfian and Lotkaian continuous concentration theory (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.9, S.935-945
    Year
    2005
  4. Egghe, L.: ¬The power of power laws and an interpretation of Lotkaian informetric systems as self-similar fractals (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.669-675
    Year
    2005
  5. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.01
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    Date
    14. 2.2012 12:53:22
  6. Egghe, L.: Empirical and combinatorial study of country occurrences in multi-authored papers (2006) 0.01
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    Abstract
    Papers written by several authors can be classified according to the countries of the author affiliations. The empirical part of this paper consists of two datasets. One dataset consists of 1,035 papers retrieved via the search "pedagog*" in the years 2004 and 2005 (up to October) in Academic Search Elite which is a case where phi(m) = the number of papers with m =1, 2,3 ... authors is decreasing, hence most of the papers have a low number of authors. Here we find that #, m = the number of times a country occurs j times in a m-authored paper, j =1, ..., m-1 is decreasing and that # m, m is much higher than all the other #j, m values. The other dataset consists of 3,271 papers retrieved via the search "enzyme" in the year 2005 (up to October) in the same database which is a case of a non-decreasing phi(m): most papers have 3 or 4 authors and we even find many papers with a much higher number of authors. In this case we show again that # m, m is much higher than the other #j, m values but that #j, m is not decreasing anymore in j =1, ..., m-1, although #1, m is (apart from # m, m) the largest number amongst the #j,m. The combinatorial part gives a proof of the fact that #j,m decreases for j = 1, m-1, supposing that all cases are equally possible. This shows that the first dataset is more conform with this model than the second dataset. Explanations for these findings are given. From the data we also find the (we think: new) distribution of number of papers with n =1, 2,3,... countries (i.e. where there are n different countries involved amongst the m (a n) authors of a paper): a fast decreasing function e.g. as a power law with a very large Lotka exponent.
  7. 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
  8. 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