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Egghe, L.; Rousseau, R.: Introduction to informetrics : quantitative methods in library, documentation and information science (1990)
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- Classification
- BCGS (FH K)
- Date
- 29. 2.2008 19:02:46
- GHBS
- BCGS (FH K)
- Language
- e
-
Shi, D.; Rousseau, R.; Yang, L.; Li, J.: ¬A journal's impact factor is influenced by changes in publication delays of citing journals (2017)
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- Abstract
- In this article we describe another problem with journal impact factors by showing that one journal's impact factor is dependent on other journals' publication delays. The proposed theoretical model predicts a monotonically decreasing function of the impact factor as a function of publication delay, on condition that the citation curve of the journal is monotone increasing during the publication window used in the calculation of the journal impact factor; otherwise, this function has a reversed U shape. Our findings based on simulations are verified by examining three journals in the information sciences: the Journal of Informetrics, Scientometrics, and the Journal of the Association for Information Science and Technology.
- Date
- 16.11.2017 13:29:52
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- e
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Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012)
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- Date
- 14. 2.2012 12:53:22
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Rousseau, R.: Timelines in citation research (2006)
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- Date
- 18. 8.2006 14:29:40
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Liu, Y.; Rousseau, R.: Citation analysis and the development of science : a case study using articles by some Nobel prize winners (2014)
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- 29. 1.2014 16:31:35
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Frandsen, T.F.; Rousseau, R.: Article impact calculated over arbitrary periods (2005)
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- 20. 3.2005 10:29:08
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Liang, L.; Rousseau, R.: Yield sequences as journal attractivity indicators : "payback times" for Science and Nature (2008)
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- Date
- 21. 3.2008 14:29:54
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Colebunders, R.; Kenyon, C.; Rousseau, R.: Increase in numbers and proportions of review articles in Tropical Medicine, Infectious Diseases, and oncology (2014)
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- Date
- 29. 1.2014 15:56:36
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Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996)
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- Source
- Journal of information science. 22(1996) no.3, S.165-170
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Asonuma, A.; Fang, Y.; Rousseau, R.: Reflections on the age distribution of Japanese scientists (2006)
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- Date
- 22. 7.2006 15:26:24
- Language
- e
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Yang, B.; Rousseau, R.; Wang, X.; Huang, S.: How important is scientific software in bioinformatics research? : a comparative study between international and Chinese research communities (2018)
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- Date
- 29. 9.2018 12:36:19
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Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003)
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- Abstract
- Ahlgren, Jarneving, and. Rousseau review accepted procedures for author co-citation analysis first pointing out that since in the raw data matrix the row and column values are identical i,e, the co-citation count of two authors, there is no clear choice for diagonal values. They suggest the number of times an author has been co-cited with himself excluding self citation rather than the common treatment as zeros or as missing values. When the matrix is converted to a similarity matrix the normal procedure is to create a matrix of Pearson's r coefficients between data vectors. Ranking by r and by co-citation frequency and by intuition can easily yield three different orders. It would seem necessary that the adding of zeros to the matrix will not affect the value or the relative order of similarity measures but it is shown that this is not the case with Pearson's r. Using 913 bibliographic descriptions form the Web of Science of articles form JASIS and Scientometrics, authors names were extracted, edited and 12 information retrieval authors and 12 bibliometric authors each from the top 100 most cited were selected. Co-citation and r value (diagonal elements treated as missing) matrices were constructed, and then reconstructed in expanded form. Adding zeros can both change the r value and the ordering of the authors based upon that value. A chi-squared distance measure would not violate these requirements, nor would the cosine coefficient. It is also argued that co-citation data is ordinal data since there is no assurance of an absolute zero number of co-citations, and thus Pearson is not appropriate. The number of ties in co-citation data make the use of the Spearman rank order coefficient problematic.
- Date
- 9. 7.2006 10:22:35
- Language
- e
-
Rousseau, R.: ¬A table for estimating the exponent in Lotka's law (1993)
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Rousseau, S.; Rousseau, R.: Metric-wiseness (2015)
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Rousseau, R.: Use of an existing thesaurus in a knowledge based indexing and retrieval system (1991)
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Rousseau, R.: Bradford curves (1994)
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Rousseau, R.: Egghe's g-index is not a proper concentration measure (2015)
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Rousseau, R.: Informetric laws (2009)
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- Footnote
- Vgl.: http://www.tandfonline.com/doi/book/10.1081/E-ELIS3.
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Rousseau, R.: On Egghe's construction of Lorenz curves (2007)
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Rousseau, R.; Egghe, L.; Guns, R.: Becoming metric-wise : a bibliometric guide for researchers (2018)
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- Classification
- AZC (E)
- GHBS
- AZC (E)
- Language
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