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Parameter identification of the observed citation distribution

Author

Listed:
  • Guang Yu

    (Harbin Institute of Technology)

  • Yi-Jun Li

    (Harbin Institute of Technology)

Abstract

Based on the transfer function model of the observed citation distribution and the expression of the cumulative citation probability distribution, parameters of 12 citation distributions are identified from statistical data of age distributions of references of 10 journals in JCR using the parameter optimization fitting method. At same time, based on the steady state solution of differential equations of the publication delay process and data of publication delays of 10 journals, the publication delay parameters of every journal are identified using the fitting method. Identified parameters of every journal citation distribution are compared with the journal’s publication delay parameters and some valuable conclusions are deduced.

Suggested Citation

  • Guang Yu & Yi-Jun Li, 2007. "Parameter identification of the observed citation distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(2), pages 339-348, May.
    • Handle: RePEc:spr:scient:v:71:y:2007:i:2:d:10.1007_s11192-007-1662-7
    DOI: 10.1007/s11192-007-1662-7
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    References listed on IDEAS

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    1. Guang Yu & Daren Yu & Yijun Li, 2004. "The universal expression of periodical average publication delay at steady state," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 121-129, June.
    2. Guang Yu & Rui Guo & Yi-Jun Li, 2006. "The influence of publication delays on three ISI indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(3), pages 511-527, December.
    3. Leo Egghe & Ronald Rousseau, 2000. "The influence of publication delays on the observed aging distribution of scientific literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(2), pages 158-165.
    4. Guang Yu & Xiao-Hong Wang & Da-Ren Yu, 2005. "The influence of publication delays on impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 235-246, August.
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    Cited by:

    1. Hamid Bouabid & Vincent Larivière, 2013. "The lengthening of papers’ life expectancy: a diachronous analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 695-717, December.
    2. André Andrian Padial & João Carlos Nabout & Tadeu Siqueira & Luis Mauricio Bini & José Alexandre Felizola Diniz-Filho, 2010. "Weak evidence for determinants of citation frequency in ecological articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 1-12, October.
    3. Guijie Zhang & Yuqiang Feng & Guang Yu & Luning Liu & Yanqiqi Hao, 2017. "Analyzing the time delay between scientific research and technology patents based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1287-1306, June.
    4. Mingyang Wang & Shijia Jiao & Kah-Hin Chai & Guangsheng Chen, 2019. "Building journal’s long-term impact: using indicators detected from the sustained active articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 261-283, October.
    5. Mingyang Wang & Jiaqi Zhang & Guangsheng Chen & Kah-Hin Chai, 2019. "Examining the influence of open access on journals’ citation obsolescence by modeling the actual citation process," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1621-1641, June.
    6. Guang Yu & Yi-Jun Li, 2010. "Identification of referencing and citation processes of scientific journals based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 249-261, February.

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