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  • × author_ss:"Rousseau, R."
  1. Liu, Y.; Rousseau, R.: Towards a representation of diffusion and interaction of scientific ideas : the case of fiber optics communication (2012) 0.03
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    Abstract
    The research question studied in this contribution is how to find an adequate representation to describe the diffusion of scientific ideas over time. We claim that citation data, at least of articles that act as concept symbols, can be considered to contain this information. As a case study we show how the founding article by Nobel Prize winner Kao illustrates the evolution of the field of fiber optics communication. We use a continuous description of discrete citation data in order to accentuate turning points and breakthroughs in the history of this field. Applying the principles explained in this contribution informetrics may reveal the trajectories along which science is developing.
    Source
    Information processing and management. 48(2012) no.4, S.791-801
  2. Rousseau, R.: Bradford curves (1994) 0.02
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    Source
    Information processing and management. 30(1994) no.2, S.267-277
  3. Egghe, L.; Rousseau, R.: Introduction to informetrics : quantitative methods in library, documentation and information science (1990) 0.02
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    COMPASS
    Information science / Statistical mathematics
    Date
    29. 2.2008 19:02:46
    LCSH
    Information science / Statistical methods
    Library science / Statistical methods
    Subject
    Information science / Statistical mathematics
    Information science / Statistical methods
    Library science / Statistical methods
  4. Egghe, L.; Rousseau, R.: ¬A theoretical study of recall and precision using a topological approach to information retrieval (1998) 0.02
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    Source
    Information processing and management. 34(1998) nos.2/3, S.191-218
  5. Egghe, L.; Rousseau, R.: ¬An h-index weighted by citation impact (2008) 0.02
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    Source
    Information processing and management. 44(2008) no.2, S.770-780
  6. Liu, Y.; Rousseau, R.: Citation analysis and the development of science : a case study using articles by some Nobel prize winners (2014) 0.02
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    Abstract
    Using citation data of articles written by some Nobel Prize winners in physics, we show that concave, convex, and straight curves represent different types of interactions between old ideas and new insights. These cases illustrate different diffusion characteristics of academic knowledge, depending on the nature of the knowledge in the new publications. This work adds to the study of the development of science and links this development to citation analysis.
    Date
    29. 1.2014 16:31:35
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.2, S.281-289
  7. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.02
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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
  8. Rousseau, R.: Timelines in citation research (2006) 0.01
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    Date
    18. 8.2006 14:29:40
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.10, S.1404-1405
  9. Liang, L.; Rousseau, R.: Yield sequences as journal attractivity indicators : "payback times" for Science and Nature (2008) 0.01
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    Abstract
    Purpose - The yield period of a journal is defined as the time needed to accumulate the same number of citations as the number of references included during the period of study. Yield sequences are proposed as journal attractivity indicators describing dynamic characteristics of a journal. This paper aims to investigate their use. Design/methodology/approach - As a case study the yield sequences of the journals Nature and Science from 1955 onward are determined. Similarities and dissimilarities between these sequences are discussed and factors affecting yield periods are determined. Findings - The study finds that yield sequences make dynamic aspects of a journal visible, as reflected through citations. Exceptional circumstances (here the publication of Laemmli's paper in 1970 in the journal Nature) become clearly visible. The average number of references per article, the citation distribution and the size of the database used to collect citations are factors influencing yield sequences. Originality/value - A new dynamic indicator for the study of journals is introduced.
    Date
    21. 3.2008 14:29:54
    Object
    Science
  10. Shi, D.; Rousseau, R.; Yang, L.; Li, J.: ¬A journal's impact factor is influenced by changes in publication delays of citing journals (2017) 0.01
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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
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.3, S.780-789
  11. Frandsen, T.F.; Rousseau, R.: Article impact calculated over arbitrary periods (2005) 0.01
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    Date
    20. 3.2005 10:29:08
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.58-62
  12. Colebunders, R.; Kenyon, C.; Rousseau, R.: Increase in numbers and proportions of review articles in Tropical Medicine, Infectious Diseases, and oncology (2014) 0.01
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    Date
    29. 1.2014 15:56:36
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.201-205
  13. Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996) 0.01
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    Source
    Journal of information science. 22(1996) no.3, S.165-170
  14. 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
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.342-346
  15. 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) 0.01
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    Date
    29. 9.2018 12:36:19
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1122-1133
  16. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.01
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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
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.6, S.549-568
  17. Rousseau, S.; Rousseau, R.: Metric-wiseness (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2389
  18. 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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    Abstract
    Generally, multicountry papers receive more citations than single-country ones. In this contribution, we examine if this rule also applies to American scientists publishing in highly visible interdisciplinary journals. Concretely, we compare the citations received by American scientists in Nature, Science, and the Proceedings of the National Academy of Sciences of the United States of America (PNAS). It is shown that, statistically, American scientists publishing in Nature and Science do not benefit from international collaboration. This statement also holds for communicated submissions, but not for direct and for contributed submissions, to PNAS.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.4, S.1009-1013
  19. Rousseau, R.: Use of an existing thesaurus in a knowledge based indexing and retrieval system (1991) 0.00
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    Source
    Annals of library science and documentation. 38(1991) no.4, S.127-130
  20. Rousseau, R.: Egghe's g-index is not a proper concentration measure (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.7, S.1518-1519