IDEAS home Printed from https://ideas.repec.org/p/csc/ircrwp/201712.html
   My bibliography  Save this paper

Long time series of highly cited articles: an empirical study

Author

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
    as

    Download full text from publisher

    File URL: http://www.ircres.cnr.it/images/wp/WP_12_2017.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Onodera, Natsuo, 2016. "Properties of an index of citation durability of an article," Journal of Informetrics, Elsevier, vol. 10(4), pages 981-1004.
    3. Aaron Lercher & Lawrence Smolinsky, 2016. "Persistent value of older scientific journal articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1205-1220, September.
    4. Leo Egghe, 2000. "A Heuristic Study of the First-Citation Distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(3), pages 345-359, July.
    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.
    9. Charles Oppenheim & Susan P. Renn, 1978. "Highly cited old papers and the reasons why they continue to be cited," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 29(5), pages 225-231, September.
    10. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2019. "Cross-national distance and international business: an analysis of the most influential recent models," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 173-208, October.
    2. 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.
    3. 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.
    4. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    5. Aaron Lercher & Lawrence Smolinsky, 2016. "Persistent value of older scientific journal articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1205-1220, September.
    6. Soo Jeung Lee & Christian Schneijderberg & Yangson Kim & Isabel Steinhardt, 2021. "Have Academics’ Citation Patterns Changed in Response to the Rise of World University Rankings? A Test Using First-Citation Speeds," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    7. Shahzad, Murtuza & Alhoori, Hamed & Freedman, Reva & Rahman, Shaikh Abdul, 2022. "Quantifying the online long-term interest in research," Journal of Informetrics, Elsevier, vol. 16(2).
    8. 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.
    9. Mike Thelwall, 2019. "The influence of highly cited papers on field normalised indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 519-537, February.
    10. Tian-Yuan Huang & Liying Yang, 2022. "Superior identification index: Quantifying the capability of academic journals to recognize good research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4023-4043, July.
    11. Marcelo Mendoza, 2021. "Differences in Citation Patterns across Areas, Article Types and Age Groups of Researchers," Publications, MDPI, vol. 9(4), pages 1-23, October.
    12. Pablo Dorta-González & Emilio Gómez-Déniz, 2022. "Modeling the obsolescence of research literature in disciplinary journals through the age of their cited references," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 2901-2931, June.
    13. Rabishankar Giri & Sabuj Kumar Chaudhuri, 2021. "Ranking journals through the lens of active visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2189-2208, March.
    14. 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.
    15. Broccardo, Laura & Vola, Paola & Zicari, Adrian & Alshibani, Safiya Mukhtar, 2023. "Contingency-based analysis of the drivers and obstacles to a successful sustainable business model: Seeking the uncaptured value," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    16. Aleskerov, F. & Kazachinskaya, A. & Karabekyan, D. & Semina, A. & Yakuba, V., 2021. "Economic journals of Russia, their characteristics and network analysis," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 170-182.
    17. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "On the interplay between normalisation, bias, and performance of paper impact metrics," Journal of Informetrics, Elsevier, vol. 13(1), pages 270-290.
    18. A Cecile J W Janssens & Michael Goodman & Kimberly R Powell & Marta Gwinn, 2017. "A critical evaluation of the algorithm behind the Relative Citation Ratio (RCR)," PLOS Biology, Public Library of Science, vol. 15(10), pages 1-5, October.
    19. repec:hal:cepnwp:hal-01922266 is not listed on IDEAS
    20. Mutz, Rüdiger & Daniel, Hans-Dieter, 2018. "The bibliometric quotient (BQ), or how to measure a researcher’s performance capacity: A Bayesian Poisson Rasch model," Journal of Informetrics, Elsevier, vol. 12(4), pages 1282-1295.
    21. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:csc:ircrwp:201712. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anna Perin or Giancarlo Birello (email available below). General contact details of provider: https://edirc.repec.org/data/cerisit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.