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Weighted citation: An indicator of an article's prestige

Author

Listed:
  • Erjia Yan
  • Ying Ding

Abstract

The authors propose using the technique of weighted citation to measure an article's prestige. The technique allocates a different weight to each reference by taking into account the impact of citing journals and citation time intervals. Weightedcitation captures prestige, whereas citation counts capture popularity. They compare the value variances for popularity and prestige for articles published in the Journal of the American Society for Information Science and Technology from 1998 to 2007, and find that the majority have comparable status.

Suggested Citation

  • Erjia Yan & Ying Ding, 2010. "Weighted citation: An indicator of an article's prestige," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1635-1643, August.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:8:p:1635-1643
    DOI: 10.1002/asi.21349
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    Citations

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    Cited by:

    1. Zhang, Fang & Wu, Shengli, 2020. "Predicting future influence of papers, researchers, and venues in a dynamic academic network," Journal of Informetrics, Elsevier, vol. 14(2).
    2. Fang Zhang & Shengli Wu, 2024. "Predicting citation impact of academic papers across research areas using multiple models and early citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4137-4166, July.
    3. Shunshun Shi & Wenyu Zhang & Shuai Zhang & Jie Chen, 2018. "Does prestige dimension influence the interdisciplinary performance of scientific entities in knowledge flow? Evidence from the e-government field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1237-1264, November.
    4. Jiaying Liu & Jiahao Tian & Xiangjie Kong & Ivan Lee & Feng Xia, 2019. "Two decades of information systems: a bibliometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 617-643, February.
    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. Yuanyuan Liu & Qiang Wu & Shijie Wu & Yong Gao, 2021. "Weighted citation based on ranking-related contribution: a new index for evaluating article impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8653-8672, October.
    7. repec:ehu:cuader:55441 is not listed on IDEAS
    8. Prathap, Gangan & Mukherjee, Somenath & Leydesdorff, Loet, 2020. "Within-journal self-citations and the Pinski-Narin influence weights," Journal of Informetrics, Elsevier, vol. 14(1).
    9. Yu Zhang & Min Wang & Morteza Saberi & Elizabeth Chang, 2022. "Analysing academic paper ranking algorithms using test data and benchmarks: an investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4045-4074, July.
    10. Gangan Prathap, 2019. "The Pinski–Narin influence weight and the Ramanujacharyulu power-weakness ratio indicators revisited," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1173-1185, May.
    11. Dejian Yu & Libo Sheng & Shunshun Shi, 2023. "A retrospective analysis of Journal of Forecasting: From 1982 to 2019," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 1008-1035, July.

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