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  • × author_ss:"Egghe, L."
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  1. Egghe, L.; Rousseau, R.; Hooydonk, G. van: Methods for accrediting publications to authors or countries : consequences for evaluation studies (2000) 0.00 
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    Abstract
    One aim of science evaluation studies is to determine quantitatively the contribution of different players (authors, departments, countries) to the whole system. This information is then used to study the evolution of the system, for instance to gauge the results of special national or international programs. Taking articles as our basic data, we want to determine the exact relative contribution of each coauthor or each country. These numbers are brought together to obtain country scores, or department scores, etc. It turns out, as we will show in this article, that different scoring methods can yield totally different rankings. Conseqeuntly, a ranking between countries, universities, research groups or authors, based on one particular accrediting methods does not contain an absolute truth about their relative importance
    Source
    Journal of the American Society for Information Science. 51(2000) no.2, S.145-157
  2. 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
  3. Egghe, L.: ¬The amount of actions needed for shelving and reshelving (1996) 0.00 
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    Abstract
    Discusses the number of actions (or time) needed to organize library shelves. Studies 2 types pf problem: organizing a library shelf out of an unordered pile of books, and putting an existing shelf of books in the rough order. Uses results from information theory as well as from rank order statistics (runs). Draws conclusions about the advised frequency with which these actions should be undertaken
  4. 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
  5. Egghe, L.; Rousseau, R.: ¬The influence of publication delays on the observed aging distribution of scientific literature (2000) 0.00 
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    Source
    Journal of the American Society for Information Science. 51(2000) no.2, S.158-165
  6. Egghe, L.; Liang, L.; Rousseau, R.: ¬A relation between h-index and impact factor in the power-law model (2009) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2362-2365
  7. Egghe, L.: Dynamic h-index : the Hirsch index in function of time (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.3, S.452-454
  8. Egghe, L.; Rousseau, R.: ¬An h-index weighted by citation impact (2008) 0.00 
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    Source
    Information processing and management. 44(2008) no.2, S.770-780
  9. Egghe, L.: On the relation between the association strength and other similarity measures (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1502-1504
  10. Egghe, L.: Informetric explanation of some Leiden Ranking graphs (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.4, S.737-741
  11. Egghe, L.: Type/Token-Taken informetrics (2003) 0.00 
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    Abstract
    Type/Token-Taken informetrics is a new part of informetrics that studies the use of items rather than the items itself. Here, items are the objects that are produced by the sources (e.g., journals producing articles, authors producing papers, etc.). In linguistics a source is also called a type (e.g., a word), and an item a token (e.g., the use of words in texts). In informetrics, types that occur often, for example, in a database will also be requested often, for example, in information retrieval. The relative use of these occurrences will be higher than their relative occurrences itself; hence, the name Type/ Token-Taken informetrics. This article studies the frequency distribution of Type/Token-Taken informetrics, starting from the one of Type/Token informetrics (i.e., source-item relationships). We are also studying the average number my* of item uses in Type/Token-Taken informetrics and compare this with the classical average number my in Type/Token informetrics. We show that my* >= my always, and that my* is an increasing function of my. A method is presented to actually calculate my* from my, and a given a, which is the exponent in Lotka's frequency distribution of Type/Token informetrics. We leave open the problem of developing non-Lotkaian Type/TokenTaken informetrics.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.7, S.603-610
  12. Egghe, L.: Untangling Herdan's law and Heaps' law : mathematical and informetric arguments (2007) 0.00 
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    Abstract
    Herdan's law in linguistics and Heaps' law in information retrieval are different formulations of the same phenomenon. Stated briefly and in linguistic terms they state that vocabularies' sizes are concave increasing power laws of texts' sizes. This study investigates these laws from a purely mathematical and informetric point of view. A general informetric argument shows that the problem of proving these laws is, in fact, ill-posed. Using the more general terminology of sources and items, the author shows by presenting exact formulas from Lotkaian informetrics that the total number T of sources is not only a function of the total number A of items, but is also a function of several parameters (e.g., the parameters occurring in Lotka's law). Consequently, it is shown that a fixed T(or A) value can lead to different possible A (respectively, T) values. Limiting the T(A)-variability to increasing samples (e.g., in a text as done in linguistics) the author then shows, in a purely mathematical way, that for large sample sizes T~ A**phi, where phi is a constant, phi < 1 but close to 1, hence roughly, Heaps' or Herdan's law can be proved without using any linguistic or informetric argument. The author also shows that for smaller samples, a is not a constant but essentially decreases as confirmed by practical examples. Finally, an exact informetric argument on random sampling in the items shows that, in most cases, T= T(A) is a concavely increasing function, in accordance with practical examples.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.702-709
  13. Egghe, L.: Sampling and concentration values of incomplete bibliographies (2002) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.4, S.271-281
  14. 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
  15. Egghe, L.; Liang, L.; Rousseau, R.: Fundamental properties of rhythm sequences (2008) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1469-1478
  16. 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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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.10, S.2142-2144
  17. Egghe, L.; Rousseau, R.: ¬The Hirsch index of a shifted Lotka function and its relation with the impact factor (2012) 0.00 
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    Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.1048-1053
  18. Egghe, L.: Remarks on the paper by A. De Visscher, "what does the g-index really measure?" (2012) 0.00 
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    Journal of the American Society for Information Science and Technology. 63(2012) no.10, S.2118-2121
  19. Egghe, L.: Theory of the topical coverage of multiple databases (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.1, S.126-131
  20. Egghe, L.; Rousseau, R.: Aging, obsolescence, impact, growth, and utilization : definitions and relations (2000) 0.00 
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    Source
    Journal of the American Society for Information Science. 51(2000) no.11, S.1004-1017

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