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Quantifying the impact of scholarly papers based on higher-order weighted citations

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Listed:
  • Xiaomei Bai
  • Fuli Zhang
  • Jie Hou
  • Ivan Lee
  • Xiangjie Kong
  • Amr Tolba
  • Feng Xia

Abstract

Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,596 papers published in Physical Review C, and identify the relationship between citations and geographical distances between author affiliations. Subsequently, a relative citation weight is applied to assess the impact of a scholarly paper. A higher-order weighted quantum PageRank algorithm is also developed to address the behavior of multiple step citation flow. Capturing the citation dynamics with higher-order dependencies reveals the actual impact of papers, including necessary self-citations that are sometimes excluded in prior studies. Quantum PageRank is utilized in this paper to help differentiating nodes whose PageRank values are identical.

Suggested Citation

  • Xiaomei Bai & Fuli Zhang & Jie Hou & Ivan Lee & Xiangjie Kong & Amr Tolba & Feng Xia, 2018. "Quantifying the impact of scholarly papers based on higher-order weighted citations," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    • Handle: RePEc:plo:pone00:0193192
    DOI: 10.1371/journal.pone.0193192
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    Citations

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    Cited by:

    1. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
    2. Bai, Xiaomei & Zhang, Fuli & Liu, Jiaying & Xia, Feng, 2023. "Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks," Journal of Informetrics, Elsevier, vol. 17(2).
    3. 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.
    4. Xiaomei Bai & Fuli Zhang & Jinzhou Li & Zhong Xu & Zeeshan Patoli & Ivan Lee, 2021. "Quantifying scientific collaboration impact by exploiting collaboration-citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7993-8008, September.
    5. Xiang Li & Chengli Zhao & Zhaolong Hu & Caixia Yu & Xiaojun Duan, 2022. "Revealing the character of journals in higher-order citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6315-6338, November.

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