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  • × author_ss:"Rousseau, R."
  1. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.04
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    Date
    14. 2.2012 12:53:22
  2. Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996) 0.02
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    Date
    6. 4.1996 12:46:16
    Source
    Journal of information science. 22(1996) no.3, S.165-170
  3. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.02
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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
  4. Asonuma, A.; Fang, Y.; Rousseau, R.: Reflections on the age distribution of Japanese scientists (2006) 0.01
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    Date
    22. 7.2006 15:26:24
  5. Rousseau, R.: Informetric laws (2009) 0.01
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    Date
    27. 8.2011 14:12:19
  6. Rousseau, R.: Citation data as a proxy for quality or scientific influence are at best PAC (probably approximately correct) (2016) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3092-3094
  7. Egghe, L.; Liang, L.; Rousseau, R.: Fundamental properties of rhythm sequences (2008) 0.00
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    Date
    12. 7.2008 18:38:20
  8. Rousseau, R.: Basic properties of both percentile rank scores and the I3 indicator (2012) 0.00
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    Date
    14. 2.2012 12:48:28
  9. Rousseau, R.; Ding, J.: Does international collaboration yield a higher citation potential for US scientists publishing in highly visible interdisciplinary Journals? (2016) 0.00
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    Date
    19. 3.2016 12:38:31
  10. 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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    Date
    30. 1.2000 12:51:24
  11. Impe, S. van; Rousseau, R.: Web-to-print citations and the humanities (2006) 0.00
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    Date
    4.12.2006 12:28:42
  12. Egghe, L.; Guns, R.; Rousseau, R.: Thoughts on uncitedness : Nobel laureates and Fields medalists as case studies (2011) 0.00
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    Date
    14. 2.2012 12:54:06
  13. Rousseau, R.: Journal evaluation : technical and practical issues (2002) 0.00
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    Date
    11. 2.2007 12:33:14
  14. 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) 0.00
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    Date
    29. 9.2018 12:36:19