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Long time series of highly cited articles: an empirical study

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Abstract

The study of how citations, received by scientific works, evolve with time is a relevant bibliometric topic. The present work aims at describing the evolution of received citations of highly cited scientific articles over a long time span (30 years or more). It tries to answer to the question on how such citation trends evolve, and on how much it is possible to assimilate them to a single model, by performing an empirical descriptive study. Thirty articles (the five most cited for each of the six Subject categories in two Research domains) are taken into account. Once obtained the citation received by the articles, their trends are traced and analysed. The empirical results show that received citations exhibit significantly different trends. Moreover, many articles are not affected by the phenomenon of aging. Such facts make it more difficult to generalize citation trends.

Suggested Citation

  • 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.
    • Handle: RePEc:csc:ircrwp:201712
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    References listed on IDEAS

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    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.
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    5. 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.
    6. Erjen Van Nierop, 2009. "Why do statistics journals have low impact factors?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(1), pages 52-62, February.
    7. 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.
    8. Lutz Bornmann, 2016. "Is the promotion of research reflected in bibliometric data? A network analysis of highly cited papers on the Clusters of Excellence supported under the Excellence Initiative in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1041-1061, June.
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    Cited by:

    1. Andrei Dubovik & Clemens Fiedler & Alexei Parakhonyak, 2022. "Temporal Patterns in Economics Research," CPB Discussion Paper 440, CPB Netherlands Bureau for Economic Policy Analysis.

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    More about this item

    Keywords

    Received citations trends; empirical study; highly cited; long time series;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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