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On the stability of citation-based journal rankings

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  • Pajić, Dejan

Abstract

The article presents a large-scale comparison of journal rankings based on seven impact measures: Impact Factor (2- and 5-year), SJR, IPP, SNIP, H index, and Article Influence Score. Three aspects of ranking stability in the 2007–2014 period were analyzed: temporal, cross-discipline, and cross-indicator. Impact measures based on five-year citation windows enable more stable journal rankings over time. Journal rankings based on the source-normalized indicator (SNIP) have the largest cross-discipline stability. Journals in the fields of social sciences and humanities have lower temporal and cross-discipline ranking stability compared to those in “hard” sciences. Although correlation coefficients indicate relatively high agreement among the rankings based on different indicators, variations in quartile and percentile ranks suggest different conclusions. WoS journals almost linearly improve their ranking positions in Scopus lists, while many high-impact journals covered by Scopus are not available in WoS. An important element of the ranking stability is the discriminability of impact measures. Beyond the segregation between the top and bottom ranked journals, our assessment of “quality” relies in most cases on a rather arguable assumption that a couple of citations more or less is making a big difference.

Suggested Citation

  • Pajić, Dejan, 2015. "On the stability of citation-based journal rankings," Journal of Informetrics, Elsevier, vol. 9(4), pages 990-1006.
  • Handle: RePEc:eee:infome:v:9:y:2015:i:4:p:990-1006
    DOI: 10.1016/j.joi.2015.08.005
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    5. Fang Zhang & Shengli Wu, 2021. "Measuring academic entities’ impact by content-based citation analysis in a heterogeneous academic network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7197-7222, August.
    6. Lin Feng & Jian Zhou & Sheng-Lan Liu & Ning Cai & Jie Yang, 2020. "Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 233-254, July.
    7. Liwei Cai & Jiahao Tian & Jiaying Liu & Xiaomei Bai & Ivan Lee & Xiangjie Kong & Feng Xia, 2019. "Scholarly impact assessment: a survey of citation weighting solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 453-478, February.
    8. Dejian Yu & Wanru Wang & Shuai Zhang & Wenyu Zhang & Rongyu Liu, 2017. "A multiple-link, mutually reinforced journal-ranking model to measure the prestige of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 521-542, April.
    9. Emanuel Kulczycki & Ewa A. Rozkosz, 2017. "Does an expert-based evaluation allow us to go beyond the Impact Factor? Experiences from building a ranking of national journals in Poland," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 417-442, April.
    10. 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.
    11. Shannon Mason & Lenandlar Singh, 2022. "When a journal is both at the ‘top’ and the ‘bottom’: the illogicality of conflating citation-based metrics with quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3683-3694, June.
    12. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    13. Gabriel-Alexandru Vȋiu & Mihai Păunescu, 2021. "The lack of meaningful boundary differences between journal impact factor quartiles undermines their independent use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1495-1525, February.
    14. Liu, Xuan Zhen & Fang, Hui, 2020. "A comparison among citation-based journal indicators and their relative changes with time," Journal of Informetrics, Elsevier, vol. 14(1).
    15. Lina Xu & Steven Dellaportas & Zhiqiang Yang & Jin Wang, 2023. "More on the relationship between interdisciplinary accounting research and citation impact," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4779-4803, December.
    16. A. Ferrer-Sapena & J. M. Calabuig & L. M. García Raffi & E. A. Sánchez Pérez, 2020. "Where Should I Submit My Work for Publication? An Asymmetrical Classification Model to Optimize Choice," Journal of Classification, Springer;The Classification Society, vol. 37(2), pages 490-508, July.

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