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Persistent value of older scientific journal articles

Author

Listed:
  • Aaron Lercher

    (Louisiana State University)

  • Lawrence Smolinsky

    (Louisiana State University)

Abstract

This paper discusses how to translate the well-confirmed phenomenon of increasing citation of older scientific literature into an argument for the persistent citation impact of older scientific journal articles. Since libraries purchase or subscribe to scientific journal articles in packages consisting of journal-years, the citation impact of past journal-years needs to be assessed separately from that of recent years. The simple and flexible (Bouabid in Scientometrics 88:199–211, 2011. doi: 10.1007/s11192-011-0370-5 ) model, as applied to particular journal-years, is applied and assessed.

Suggested Citation

  • Aaron Lercher & Lawrence Smolinsky, 2016. "Persistent value of older scientific journal articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1205-1220, September.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:3:d:10.1007_s11192-016-2011-5
    DOI: 10.1007/s11192-016-2011-5
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    References listed on IDEAS

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    1. Finardi, Ugo, 2014. "On the time evolution of received citations, in different scientific fields: An empirical study," Journal of Informetrics, Elsevier, vol. 8(1), pages 13-24.
    2. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.
    3. Hamid Bouabid, 2011. "Revisiting citation aging: a model for citation distribution and life-cycle prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 199-211, July.
    4. Quentin L. Burrell, 2002. "The nth-citation distribution and obsolescence," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 309-323, March.
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    Cited by:

    1. Lin Zhang & Wolfgang Glänzel, 2017. "A citation-based cross-disciplinary study on literature ageing: part II—diachronous aspects," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1559-1572, June.
    2. Ugo Finardi, 2017. "Long time series of highly cited articles: an empirical study," IRCrES Working Paper 201712, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.

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