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  • × author_ss:"Burrell, Q.L."
  1. Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006) 0.04
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    Abstract
    Citation rates are becoming increasingly important in judging the research quality of journals, institutions and departments, and individual faculty. This paper looks at the pattern of citations across different management science journals and over time. A stochastic model is proposed which views the generating mechanism of citations as a gamma mixture of Poisson processes generating overall a negative binomial distribution. This is tested empirically with a large sample of papers published in 1990 from six management science journals and found to fit well. The model is extended to include obsolescence, i.e., that the citation rate for a paper varies over its cited lifetime. This leads to the additional citations distribution which shows that future citations are a linear function of past citations with a time-dependent and decreasing slope. This is also verified empirically in a way that allows different obsolescence functions to be fitted to the data. Conclusions concerning the predictability of future citations, and future research in this area are discussed.
    Date
    26.12.2007 19:22:05
  2. Burrell, Q.L.: Predicting future citation behavior (2003) 0.04
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    Date
    29. 3.2003 19:22:48
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.372-378
  3. Burrell, Q.L.: Fitting Lotka's law : some cautionary observations on a recent paper by Newby et al. (2003) (2004) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.13, S.1209-1210
  4. Burrell, Q.L.: "Type/Token-Taken" informetrics : Some comments and further examples (2003) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1260-1263
  5. Burrell, Q.L.: "Ambiguity" ans scientometric measurement : a dissenting view (2001) 0.01
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    Abstract
    Abe Bookstein has long been a persuasive advocate of the central role of the classical Lotka-Bradford-Zipf "laws" in bibliometrics and, subsequently, scientometrics and informetrics. In a series of often-quoted papers (Bookstein, 1977, 1990a, 1990b, 1997), he has sought to demonstrate that "Lotka-type" laws have a unique resilience to various forms of reporting, which leads inevitably and naturally to their observance in empirical informetric data collected under a wide variety of circumstances. A general statement of his position was featured in the recent JASIST Special Topic Issue on Information Science at the Millennium (Bookstein, 2001). We shall argue that there are grounds to dispute some of the logic, the mathematics, and the reality of the development. The contention is on the one hand that Bookstein's development lacks a rigorous mathematical basis, and on the other, that, in general, informetric processes are adequately described within a standard probabilistic framework with stochastic modelling offering the more productive approach.
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1075-1080
  6. Burrell, Q.L.: Will this paper ever be cited? (2002) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.3, S.232-235
  7. Burrell, Q.L.: On Egghe's version of continuous concentration theory (2006) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.10, S.1406-1411
  8. Burrell, Q.L.: Some comments on "A proposal for a dynamic h-Type Index" by Rousseau and Ye (2009) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.2, S.418-419
  9. Burrell, Q.L.: Alternative thoughts on uncitedness (2012) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1466-1470
  10. Burrell, Q.L.: Measuring similarity of concentration between different informetric distributions : two new approaches (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.704-714
  11. Burrell, Q.L.: Egghe's construction of Lorenz curves resolved (2007) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.2157-2159
  12. Burrell, Q.L.: Formulae for the h-index : a lack of robustness in Lotkaian informetrics? (2013) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1504-1514