Search (49 results, page 1 of 3)

  • × author_ss:"Rousseau, R."
  1. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.06
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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. Asonuma, A.; Fang, Y.; Rousseau, R.: Reflections on the age distribution of Japanese scientists (2006) 0.04
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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
  3. Rousseau, S.; Rousseau, R.: Metric-wiseness (2015) 0.03
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2389
  4. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.03
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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
  5. Rousseau, R.: Egghe's g-index is not a proper concentration measure (2015) 0.02
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.7, S.1518-1519
  6. Rousseau, R.; Ye, F.Y.: ¬A proposal for a dynamic h-type index (2008) 0.02
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    Abstract
    A time-dependent h-type indicator is proposed. This indicator depends on the size of the h-core, the number of citations received, and recent change in the value of the h-index. As such, it tries to combine in a dynamic way older information about the source (e.g., a scientist or research institute that is evaluated) with recent information.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1853-1855
  7. Hu, X.; Rousseau, R.; Chen, J.: ¬A new approach for measuring the value of patents based on structural indicators for ego patent citation networks (2012) 0.02
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    Abstract
    Technology sectors differ in terms of technological complexity. When studying technology and innovation through patent analysis it is well known that similar amounts of technological knowledge can produce different numbers of patented innovation as output. A new multilayered approach to measure the technological value of patents based on ego patent citation networks (PCNs) is developed in this study. The results show that the structural indicators for the ego PCN developed in this contribution can characterize groups of patents and, hence, in an indirect way, the health of companies.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1834-1842
  8. Rousseau, R.: On Egghe's construction of Lorenz curves (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.10, S.1551-1552
  9. Rousseau, R.: Timelines in citation research (2006) 0.02
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    Abstract
    The timeline used in ISI's Journal Citation Reports (JCR; Thomson ISI, formerly the Institute for Scientific Information, Philadelphia, PA) for half-life calculations, is not a timeline for (average) cited age. These two timelines are shifted over half a year.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.10, S.1404-1405
  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) 0.02
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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.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.3, S.780-789
  11. Egghe, L.; Guns, R.; Rousseau, R.: Thoughts on uncitedness : Nobel laureates and Fields medalists as case studies (2011) 0.02
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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
  12. Egghe, L.; Liang, L.; Rousseau, R.: ¬A relation between h-index and impact factor in the power-law model (2009) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2362-2365
  13. Zhang, L.; Rousseau, R.; Glänzel, W.: Document-type country profiles (2011) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1403-1411
  14. 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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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.2, S.281-289
  15. Rousseau, R.: Citation data as a proxy for quality or scientific influence are at best PAC (probably approximately correct) (2016) 0.02
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3092-3094
  16. 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
  17. Jin, B.; Li, L.; Rousseau, R.: Long-term influences of interventions in the normal development of science : China and the cultural revolution (2004) 0.01
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    Abstract
    Intellectual and technological talents and skills are the driving force for scientific and industrial development, especially in our times characterized by a knowledgebased economy. Major events in society and related political decisions, however, can have a long-term effect an a country's scientific weIl-being. Although the Cultural Revolution took place from 1966 to 1976, its aftermath can still be felt. This is shown by this study of the production and productivity of Chinese scientists as a function of their age. Based an the 1995-2000 data from the Chinese Science Citation database (CSCD), this article investigates the year-by-year age distribution of scientific and technological personnel publishing in China. It is shown that the "Talent Fault" originating during the Cultural Revolution still exists, and that a new gap resulting from recent brain drain might be developing. The purpose of this work is to provide necessary information about the current situation and especially the existing problems of the S&T workforce in China.
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.6, S.544-550
  18. Rousseau, S.; Rousseau, R.: Interactions between journal attributes and authors' willingness to wait for editorial decisions (2012) 0.01
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    Abstract
    In this article, we report on a discrete choice experiment to determine the willingness-to-wait (WTW) in the context of journal submissions. Respondents to our survey are mostly active in the information sciences, including librarians. Besides WTW, other attributes included in the study are the quality of the editorial board, the quality of referee reports, the probability of being accepted, the ISI impact factor, and the standing of the journal among peers. Interaction effects originating from scientists' personal characteristics (age, region of origin, motivations to publish) with the WTW are highlighted. A difference was made between submitting a high quality article and a standard article. Among the interesting results obtained from our analysis we mention that for a high-quality article, researchers are willing to wait some 18 months longer for a journal with an ISI impact factor above 2 than for a journal without an impact factor, keeping all other factors constant. For a standard article, the WTW decreases to some 8 months. Gender had no effect on our conclusions.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.6, S.1213-1225
  19. Egghe, L.; Rousseau, R.; Rousseau, S.: TOP-curves (2007) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.777-785
  20. Egghe, L.; Liang, L.; Rousseau, R.: Fundamental properties of rhythm sequences (2008) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1469-1478