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  1. Järvelin, K.; Persson, O.: ¬The DCI index : discounted cumulated impact-based research evaluation (2008) 0.02 
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    Content
    Erratum in: Järvelin, K., O. Persson: The DCI-index: discounted cumulated impact-based research evaluation. Erratum re. In: Journal of the American Society for Information Science and Technology. 59(2008) no.14, S.2350-2352.
  2. Rousseau, R.: ¬A table for estimating the exponent in Lotka's law (1993) 0.02 
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  3. Costas, R.; Bordons, M.; Leeuwen, T.N. van; Raan, A.F.J. van: Scaling rules in the science system : Influence of field-specific citation characteristics on the impact of individual researchers (2009) 0.02 
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    Date
    22. 3.2009 19:02:48
  4. Liu, D.-R.; Shih, M.-J.: Hybrid-patent classification based on patent-network analysis (2011) 0.02 
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    Date
    22. 1.2011 13:04:21
  5. Costas, R.; Zahedi, Z.; Wouters, P.: ¬The thematic orientation of publications mentioned on social media : large-scale disciplinary comparison of social media metrics with citations (2015) 0.02 
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    Date
    20. 1.2015 18:30:22
  6. Cerda-Cosme, R.; Méndez, E.: Analysis of shared research data in Spanish scientific papers about COVID-19 : a first approach (2023) 0.02 
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    Date
    21. 3.2023 19:22:02
  7. White, H.D.: Author cocitation analysis and pearson's r (2003) 0.01 
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    Abstract
    In their article "Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient," Ahlgren, Jarneving, and Rousseau fault traditional author cocitation analysis (ACA) for using Pearson's r as a measure of similarity between authors because it fails two tests of stability of measurement. The instabilities arise when rs are recalculated after a first coherent group of authors has been augmented by a second coherent group with whom the first has little or no cocitation. However, AJ&R neither cluster nor map their data to demonstrate how fluctuations in rs will mislead the analyst, and the problem they pose is remote from both theory and practice in traditional ACA. By entering their own rs into multidimensional scaling and clustering routines, I show that, despite r's fluctuations, clusters based an it are much the same for the combined groups as for the separate groups. The combined groups when mapped appear as polarized clumps of points in two-dimensional space, confirming that differences between the groups have become much more important than differences within the groups-an accurate portrayal of what has happened to the data. Moreover, r produces clusters and maps very like those based an other coefficients that AJ&R mention as possible replacements, such as a cosine similarity measure or a chi square dissimilarity measure. Thus, r performs well enough for the purposes of ACA. Accordingly, I argue that qualitative information revealing why authors are cocited is more important than the cautions proposed in the AJ&R critique. I include notes an topics such as handling the diagonal in author cocitation matrices, lognormalizing data, and testing r for significance.
  8. Rousseau, S.; Rousseau, R.: Metric-wiseness (2015) 0.01 
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  9. Liang, L.: R-Sequences : relative indicators for the rhythm of science (2005) 0.01 
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    Abstract
    Like most activities in the world, scientific evolution has its own rhythm. How can this evolutionary rhythm be described and made visible? Do different fields have different rhythms, and how can they be measured? In order to answer these questions a relative indicator, called R-sequence, was designed. This indicator is time dependent, derived from publication and citation data, but independent of the absolute number of publications, as weIl as the absolute number of citations, and can therefore be used in a comparison of different scientific fields, nations, Institutes, or journals. Two caiculation methods of the R-sequence-the triangle method and the parallelogram method-are introduced. As a case study JASIS(T)'s R-sequence has been obtained.
  10. Egghe, L.; Liang, L.; Rousseau, R.: Fundamental properties of rhythm sequences (2008) 0.01 
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    Abstract
    Fundamental mathematical properties of rhythm sequences are studied. In particular, a set of three axioms for valid rhythm indicators is proposed, and it is shown that the R-indicator satisfies only two out of three but that the R-indicator satisfies all three. This fills a critical, logical gap in the study of these indicator sequences. Matrices leading to a constant R-sequence are called baseline matrices. They are characterized as matrices with constant w-year diachronous impact factors. The relation with classical impact factors is clarified. Using regression analysis matrices with a rhythm sequence that is on average equal to 1 (smaller than 1, larger than 1) are characterized.
  11. ¬The Web of knowledge : Festschrift in honor of Eugene Garfield (2000) 0.01 
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    Editor
    Cronin, B. u. H.B. Atkins
    Footnote
    Rez. in: Knowledge organization 28(2001) no.1, S.45-46 (M.J. López Huertas u. E. Jiménez-Contreras); Password 2002, H.3, S.14-19 (W.G. Stock)
  12. Melin, G.; Persson, O.: Hotel cosmopolitan : a bibliometric study of collaboration at some European universities (1998) 0.01 
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  13. Mulkay, M.J.: Sociology of the scientific research community (1977) 0.01 
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    Source
    Science, technology and society: a cross-disciplinary perspective. Ed: I. Spiegel-Rosing u. D. de Solla Price
  14. Schwens, U.: Feasibility of exploiting bibliometric data in European national bibliographic databases (1999) 0.01 
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  15. Costas, R.; Perianes-Rodríguez, A.; Ruiz-Castillo, J.: On the quest for currencies of science : field "exchange rates" for citations and Mendeley readership (2017) 0.01 
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    Date
    20. 1.2015 18:30:22
  16. Vasiljev, A.: ¬The law of requisite variety as applied to subject indexing and retrieval (1989) 0.01 
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    Source
    Klassifikation und Ordnung. Tagungsband 12. Jahrestagung der Gesellschaft für Klassifikation, Darmstadt 17.-19.3.1988. Hrsg.: R. Wille
  17. Harries, G.; Wilkinson, D.; Price, L.; Fairclough, R.; Thelwall, M.: Hyperlinks as a data source for science mapping : making sense of it all (2005) 0.01 
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  18. Rousseau, R.: Egghe's g-index is not a proper concentration measure (2015) 0.01 
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  19. Bornmann, L.; Bauer, J.; Haunschild, R.: Distribution of women and men among highly cited scientists (2015) 0.01 
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  20. Schoepflin, U.; Glänzel, W.: Mehrwert von bibliographischen Datenbanken (1994) 0.01 
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