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The DCI index: Discounted cumulated impact‐based research evaluation

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  • Kalervo Järvelin
  • Olle Persson

Abstract

Research evaluation is increasingly popular and important among research funding bodies and science policy makers. Various indicators have been proposed to evaluate the standing of individual scientists, institutions, journals, or countries. A simple and popular one among the indicators is the h‐index, the Hirsch index (Hirsch 2005), which is an indicator for lifetime achievement of a scholar. Several other indicators have been proposed to complement or balance the h‐index. However, these indicators have no conception of aging. The AR‐index (Jin et al. 2007) incorporates aging but divides the received citation counts by the raw age of the publication. Consequently, the decay of a publication is very steep and insensitive to disciplinary differences. In addition, we believe that a publication becomes outdated only when it is no longer cited, not because of its age. Finally, all indicators treat citations as equally material when one might reasonably think that a citation from a heavily cited publication should weigh more than a citation froma non‐cited or little‐cited publication.We propose a new indicator, the Discounted Cumulated Impact (DCI) index, which devalues old citations in a smooth way. It rewards an author for receiving new citations even if the publication is old. Further, it allows weighting of the citations by the citation weight of the citing publication. DCI can be used to calculate research performance on the basis of the h‐core of a scholar or any other publication data set. Finally, it supports comparing research performance to the average performance in the domain and across domains as well.

Suggested Citation

  • Kalervo Järvelin & Olle Persson, 2008. "The DCI index: Discounted cumulated impact‐based research evaluation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(9), pages 1433-1440, July.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:9:p:1433-1440
    DOI: 10.1002/asi.20847
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    Citations

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    Cited by:

    1. Elleby, Anita & Ingwersen, Peter, 2010. "Publication point indicators: A comparative case study of two publication point systems and citation impact in an interdisciplinary context," Journal of Informetrics, Elsevier, vol. 4(4), pages 512-523.
    2. Kakushadze, Zura, 2016. "An index for SSRN downloads," Journal of Informetrics, Elsevier, vol. 10(1), pages 9-28.
    3. William S. Pearson, 2020. "Research article titles in written feedback on English as a second language writing," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 997-1019, May.
    4. Chao Lu & Ying Ding & Chengzhi Zhang, 2017. "Understanding the impact change of a highly cited article: a content-based citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 927-945, August.
    5. Tóth, István & Lázár, Zsolt I. & Varga, Levente & Járai-Szabó, Ferenc & Papp, István & Florian, Răzvan V. & Ercsey-Ravasz, Mária, 2021. "Mitigating ageing bias in article level metrics using citation network analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    6. Gaby Haddow & Paul Genoni, 2010. "Citation analysis and peer ranking of Australian social science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 471-487, November.
    7. Nadia Simoes & Nuno Crespo, 2020. "A flexible approach for measuring author-level publishing performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 331-355, January.
    8. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.

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