-
Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012)
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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
-
Egghe, L.; Rousseau, R.: Introduction to informetrics : quantitative methods in library, documentation and information science (1990)
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- Date
- 29. 2.2008 19:02:46
- Pages
- XI,450 S
-
Egghe, L.: ¬A noninformetric analysis of the relationship between citation age and journal productivity (2001)
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- Date
- 29. 9.2001 13:59:34
- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.5, S.371-377
-
Egghe, L.: Influence of adding or deleting items and sources on the h-index (2010)
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- Date
- 31. 5.2010 15:02:29
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.2, S.370-373
-
Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996)
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- Journal of information science. 22(1996) no.3, S.165-170
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Egghe, L.: ¬A universal method of information retrieval evaluation : the "missing" link M and the universal IR surface (2004)
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- Date
- 14. 8.2004 19:17:22
- Source
- Information processing and management. 40(2004) no.1, S.21-30
-
Egghe, L.: Properties of the n-overlap vector and n-overlap similarity theory (2006)
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- Date
- 3. 1.2007 14:26:29
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1165-1177
-
Egghe, L.: Untangling Herdan's law and Heaps' law : mathematical and informetric arguments (2007)
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- Date
- 29. 4.2007 19:51:08
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.702-709
-
Egghe, L.: Little science, big science and beyond (1994)
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- Source
- Scientometrics. 30(1994) nos.2/3, S.389-392
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Egghe, L.: Expansion of the field of informetrics : the second special issue (2006)
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- Information processing and management. 42(2006) no.6, S.1405-1407
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Egghe, L.: Expansion of the field of informetrics : origins and consequences (2005)
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- Information processing and management. 41(2005) no.6, S.1311-1316
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Egghe, L.: Special features of the author - publication relationship and a new explanation of Lotka's law based on convolution theory (1994)
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- Journal of the American Society for Information Science. 45(1994) no.6, S.422-427
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Egghe, L.: Note on a possible decomposition of the h-Index (2013)
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- Journal of the American Society for Information Science and Technology. 64(2013) no.4, S.871
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Egghe, L.: ¬The Hirsch index and related impact measures (2010)
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- Annual review of information science and technology. 44(2010) no.1, S.65-114
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Egghe, L.: Informetric explanation of some Leiden Ranking graphs (2014)
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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
-
Egghe, L.: ¬A good normalized impact and concentration measure (2014)
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- Journal of the Association for Information Science and Technology. 65(2014) no.10, S.2052-2054
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Egghe, L.; Rousseau, R.; Rousseau, S.: TOP-curves (2007)
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- Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.777-785
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Egghe, L.: ¬A rationale for the Hirsch-index rank-order distribution and a comparison with the impact factor rank-order distribution (2009)
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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
-
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)
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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
-
Egghe, L.; Guns, R.; Rousseau, R.: Thoughts on uncitedness : Nobel laureates and Fields medalists as case studies (2011)
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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