Search (15 results, page 1 of 1)

  • × author_ss:"Egghe, L."
  • × language_ss:"e"
  • × year_i:[2010 TO 2020}
  1. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.03
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    Date
    14. 2.2012 12:53:22
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.429
  2. Egghe, L.: Note on a possible decomposition of the h-Index (2013) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.4, S.871
  3. Egghe, L.: ¬The Hirsch index and related impact measures (2010) 0.01
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    Source
    Annual review of information science and technology. 44(2010) no.1, S.65-114
  4. 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
  5. 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
  6. 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
  7. 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
  8. Egghe, L.: ¬A new short proof of Naranan's theorem, explaining Lotka's law and Zipf's law (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2581-2583
  9. 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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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.1048-1053
  10. Egghe, L.: Remarks on the paper by A. De Visscher, "what does the g-index really measure?" (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.10, S.2118-2121
  11. 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
  12. Egghe, L.: Influence of adding or deleting items and sources on the h-index (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.2, S.370-373
  13. Egghe, L.: Good properties of similarity measures and their complementarity (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2151-2160
  14. Egghe, L.; Guns, R.: Applications of the generalized law of Benford to informetric data (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.8, S.1662-1665
  15. Rousseau, R.; Egghe, L.; Guns, R.: Becoming metric-wise : a bibliometric guide for researchers (2018) 0.00
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    Abstract
    Aims to inform researchers about metrics so that they become aware of the evaluative techniques being applied to their scientific output. Understanding these concepts will help them during their funding initiatives, and in hiring and tenure. The book not only describes what indicators do (or are designed to do, which is not always the same thing), but also gives precise mathematical formulae so that indicators can be properly understood and evaluated. Metrics have become a critical issue in science, with widespread international discussion taking place on the subject across scientific journals and organizations. As researchers should know the publication-citation context, the mathematical formulae of indicators being used by evaluating committees and their consequences, and how such indicators might be misused, this book provides an ideal tome on the topic. Provides researchers with a detailed understanding of bibliometric indicators and their applications. Empowers researchers looking to understand the indicators relevant to their work and careers. Presents an informed and rounded picture of bibliometrics, including the strengths and shortcomings of particular indicators. Supplies the mathematics behind bibliometric indicators so they can be properly understood. Written by authors with longstanding expertise who are considered global leaders in the field of bibliometrics