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A new journal power-weakness ratio to measure journal impact

Author

Listed:
  • Ephrance Abu Ujum

    (University of Malaya)

  • Sameer Kumar

    (University of Malaya)

  • Kuru Ratnavelu

    (University of Malaya
    UCSI University, Kuala Lumpur Campus No. 1, Jalan Puncak Menara Gading, UCSI Heights)

  • Gangan Prathap

    (A P J Abdul Kalam Technological University)

Abstract

Journal impact indicators are useful measures to determine the relative importance of journals within a given discipline. By recasting the journal cross-citation matrix as a directed network, journals can be represented by nodes and journal-journal citations correspond to weighted directed links between nodes. In this form, it is possible to use graph-theoretic approaches to determine a ranking of nodes based on the structure of the links they are embedded in. Based on the Power-Weakness paradigm originally introduced by Ramanajucharyulu for ranking players in a tournament, we show how this idea can be modified under a bibliometric setting to find journals that contribute proportionate inbound and outbound citation flows within a homogeneous citation network to the extent that the power to influence and the weakness to be influenced by other journals are in near equal measure. We study two journal systems based on the Library and Information Sciences field based on a citation window in 2012 and another in 2018.

Suggested Citation

  • Ephrance Abu Ujum & Sameer Kumar & Kuru Ratnavelu & Gangan Prathap, 2021. "A new journal power-weakness ratio to measure journal impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9051-9068, November.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:11:d:10.1007_s11192-021-04132-5
    DOI: 10.1007/s11192-021-04132-5
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    References listed on IDEAS

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    1. Lin Zhang & Wolfgang Glänzel & Liming Liang, 2009. "Tracing the role of individual journals in a cross-citation network based on different indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 821-838, December.
    2. Hiran H. Lathabai & Thara Prabhakaran & Manoj Changat, 2017. "Contextual productivity assessment of authors and journals: a network scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 711-737, February.
    3. Xiaodan Zhu & Peter Turney & Daniel Lemire & André Vellino, 2015. "Measuring academic influence: Not all citations are equal," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 408-427, February.
    4. Maria Bordons & M. T. Fernández & Isabel Gómez, 2002. "Advantages and limitations in the use of impact factor measures for the assessment of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 195-206, February.
    5. Francis Narin & Mark Carpenter & Nancy C. Berlt, 1972. "Interrelationships of scientific journals," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 23(5), pages 323-331, September.
    6. William J. Moore, 1972. "The Relative Quality Of Economics Journals: A Suggested Rating System," Economic Inquiry, Western Economic Association International, vol. 10(2), pages 156-169, June.
    7. 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.
    8. Thed N. Van Leeuwen & Henk F. Moed & Robert J. W. Tijssen & Martijn S. Visser & Anthony F. J. Van Raan, 2001. "Language biases in the coverage of the Science Citation Index and its consequencesfor international comparisons of national research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 335-346, April.
    9. Loet Leydesdorff, 2009. "How are new citation‐based journal indicators adding to the bibliometric toolbox?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1327-1336, July.
    10. C. Ramanujacharyulu, 1964. "Analysis of preferential experiments," Psychometrika, Springer;The Psychometric Society, vol. 29(3), pages 257-261, September.
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