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Geographical knowledge diffusion and spatial diversity citation rank

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  • Jiang Wu

    (Wuhan University)

Abstract

This paper proposes a citation rank based on spatial diversity (SDCR) in terms of cities and countries, focusing on the measurement of the “spatial” aspect in citation networks. Our main goal is to solve the citation bias caused by different geographical locations of citations. We empirically investigate spatial properties of citing distances, citation patterns and spatial diversity to understand geographical knowledge diffusion, based on the data from “Transportation Science and Technology” subject category in the Web of Science (1966–2009). We also compare the proposed ranking method with other bibliometric measures, and conduct a case study to figure out the recent ranks of the well-established authors in Transportation research. It is found that the SDCR of a focal author is highly correlated with the sum of spatial diversity weights (“strength”) of all his in-links, and it is better to set the damping factors smaller than 0.75 when ranking authors with various initial academic years by SDCR. The cases show that Hong Kong is becoming a cluster in Transportation research.

Suggested Citation

  • Jiang Wu, 2013. "Geographical knowledge diffusion and spatial diversity citation rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 181-201, January.
    • Handle: RePEc:spr:scient:v:94:y:2013:i:1:d:10.1007_s11192-012-0715-8
    DOI: 10.1007/s11192-012-0715-8
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    Cited by:

    1. György Csomós & Zsófia Viktória Vida & Balázs Lengyel, 2020. "Exploring the changing geographical pattern of international scientific collaborations through the prism of cities," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-20, November.
    2. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
    3. Regina Baby Sesay & Sheku Seppeh & Mohamed Kpangay, 2020. "Factors Influencing Research Productivity at Njala University: A Count Regression Approach," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 7(7), pages 104-118, July.
    4. Judit Sulyok & Beáta Fehérvölgyi & Tibor Csizmadia & Attila I. Katona & Zsolt T. Kosztyán, 2023. "Does geography matter? Implications for future tourism research in light of COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1601-1637, March.
    5. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    6. Lian, Xiangpeng & Guo, Ying & Su, Jun, 2021. "Technology stocks: A study on the characteristics that help transfer public research to industry," Research Policy, Elsevier, vol. 50(10).
    7. Hou, Jianhua & Li, Hao & Zhang, Yang, 2024. "Influence of interdisciplinarity of scientific papers on the durability of citation diffusion: A perspective from citation discontinuance," Journal of Informetrics, Elsevier, vol. 18(3).

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    More about this item

    Keywords

    Citation analysis; Knowledge diffusion; Spatial scientometrics; Citation rank;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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