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  • × author_ss:"Egghe, L."
  1. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.02
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    Date
    14. 2.2012 12:53:22
    Footnote
    This article corrects: Thoughts on uncitedness: Nobel laureates and Fields medalists as case studies in: JASIST 62(2011) no,8, S.1637-1644.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.429
  2. Egghe, L.; Rousseau, R.: ¬The Hirsch index of a shifted Lotka function and its relation with the impact factor (2012) 0.02
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    Abstract
    Based on earlier results about the shifted Lotka function, we prove an implicit functional relation between the Hirsch index (h-index) and the total number of sources (T). It is shown that the corresponding function, h(T), is concavely increasing. Next, we construct an implicit relation between the h-index and the impact factor IF (an average number of items per source). The corresponding function h(IF) is increasing and we show that if the parameter C in the numerator of the shifted Lotka function is high, then the relation between the h-index and the impact factor is almost linear.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.1048-1053
  3. 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
  4. 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
    Source
    Information processing and management. 40(2004) no.1, S.21-30
  5. Egghe, L.: Little science, big science and beyond (1994) 0.00
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    Source
    Scientometrics. 30(1994) nos.2/3, S.389-392
  6. Egghe, L.: Expansion of the field of informetrics : the second special issue (2006) 0.00
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    Source
    Information processing and management. 42(2006) no.6, S.1405-1407
  7. Egghe, L.: Expansion of the field of informetrics : origins and consequences (2005) 0.00
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    Source
    Information processing and management. 41(2005) no.6, S.1311-1316
  8. Egghe, L.: Special features of the author - publication relationship and a new explanation of Lotka's law based on convolution theory (1994) 0.00
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    Source
    Journal of the American Society for Information Science. 45(1994) no.6, S.422-427
  9. Egghe, L.: Note on a possible decomposition of the h-Index (2013) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.4, S.871
  10. Egghe, L.: ¬The Hirsch index and related impact measures (2010) 0.00
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    Source
    Annual review of information science and technology. 44(2010) no.1, S.65-114
  11. Egghe, L.: Informetric explanation of some Leiden Ranking graphs (2014) 0.00
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    Abstract
    The S-shaped functional relation between the mean citation score and the proportion of top 10% publications for the 500 Leiden Ranking universities is explained using results of the shifted Lotka function. Also the concave or convex relation between the proportion of top 100?% publications, for different fractions ?, is explained using the obtained new informetric model.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.4, S.737-741
  12. Egghe, L.: ¬A good normalized impact and concentration measure (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.10, S.2052-2054
  13. Egghe, L.; Rousseau, R.; Rousseau, S.: TOP-curves (2007) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.777-785
  14. Egghe, L.: ¬A rationale for the Hirsch-index rank-order distribution and a comparison with the impact factor rank-order distribution (2009) 0.00
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    Abstract
    We present a rationale for the Hirsch-index rank-order distribution and prove that it is a power law (hence a straight line in the log-log scale). This is confirmed by experimental data of Pyykkö and by data produced in this article on 206 mathematics journals. This distribution is of a completely different nature than the impact factor (IF) rank-order distribution which (as proved in a previous article) is S-shaped. This is also confirmed by our example. Only in the log-log scale of the h-index distribution do we notice a concave deviation of the straight line for higher ranks. This phenomenon is discussed.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.10, S.2142-2144
  15. Egghe, L.; Ravichandra Rao, I.K.: ¬The influence of the broadness of a query of a topic on its h-index : models and examples of the h-index of n-grams (2008) 0.00
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    Abstract
    The article studies the influence of the query formulation of a topic on its h-index. In order to generate pure random sets of documents, we used N-grams (N variable) to measure this influence: strings of zeros, truncated at the end. The used databases are WoS and Scopus. The formula h=T**1/alpha, proved in Egghe and Rousseau (2006) where T is the number of retrieved documents and is Lotka's exponent, is confirmed being a concavely increasing function of T. We also give a formula for the relation between h and N the length of the N-gram: h=D10**(-N/alpha) where D is a constant, a convexly decreasing function, which is found in our experiments. Nonlinear regression on h=T**1/alpha gives an estimation of , which can then be used to estimate the h-index of the entire database (Web of Science [WoS] and Scopus): h=S**1/alpha, , where S is the total number of documents in the database.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.10, S.1688-1693
  16. Egghe, L.; Guns, R.; Rousseau, R.: Thoughts on uncitedness : Nobel laureates and Fields medalists as case studies (2011) 0.00
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    Footnote
    Vgl.: Erratum. In: Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.429.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1637-1644
  17. Egghe, L.: ¬The amount of actions needed for shelving and reshelving (1996) 0.00
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    Source
    Library management. 17(1996) no.1, S.18-24
  18. Egghe, L.; Rousseau, R.: Duality in information retrieval and the hypegeometric distribution (1997) 0.00
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    Source
    Journal of documentation. 53(1997) no.5, S.499-496
  19. Egghe, L.: On the law of Zipf-Mandelbrot for multi-word phrases (1999) 0.00
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    Source
    Journal of the American Society for Information Science. 50(1999) no.3, S.233-241
  20. Egghe, L.; Rousseau, R.: ¬A theoretical study of recall and precision using a topological approach to information retrieval (1998) 0.00
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    Source
    Information processing and management. 34(1998) nos.2/3, S.191-218