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The role of statistics in establishing the similarity of citation distributions in a static and a dynamic context

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  • Javier Ruiz-Castillo

    (Universidad Carlos III)

Abstract

Certain key questions in Scientometrics can only be answered by following a statistical approach. This paper illustrates this point for the following question: how similar are citation distributions with a fixed, common citation window for every science in a static context, and how similar are they when the citation process of a given cohort of papers is modeled in a dynamic context?

Suggested Citation

  • Javier Ruiz-Castillo, 2013. "The role of statistics in establishing the similarity of citation distributions in a static and a dynamic context," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 173-181, July.
    • Handle: RePEc:spr:scient:v:96:y:2013:i:1:d:10.1007_s11192-013-0954-3
    DOI: 10.1007/s11192-013-0954-3
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    References listed on IDEAS

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    Cited by:

    1. Ratnadeep Dey & Anurag Roy & Tanmoy Chakraborty & Saptarshi Ghosh, 2017. "Sleeping beauties in Computer Science: characterization and early identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1645-1663, December.
    2. Thelwall, Mike & Wilson, Paul, 2014. "Distributions for cited articles from individual subjects and years," Journal of Informetrics, Elsevier, vol. 8(4), pages 824-839.
    3. Magnus Eriksson & Annika Billhult & Tommy Billhult & Elena Pallari & Grant Lewison, 2020. "A new database of the references on international clinical practice guidelines: a facility for the evaluation of clinical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1221-1235, February.

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