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The Scientific Productivity of Collective Subjects Based on the Time-Weighted PageRank Method with Citation Intensity

Author

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  • Alexander Kuchansky

    (Department of Information Systems and Technology, Taras Shevchenko National University of Kyiv, 01601 Kyiv, Ukraine
    Department of Cybersecurity and Computer Engineering, Kyiv National University of Construction and Architecture, 03680 Kyiv, Ukraine)

  • Andrii Biloshchytskyi

    (Administration, Astana IT University, Astana 010000, Kazakhstan
    Department of Information Technology, Kyiv National University of Construction and Architecture, 03680 Kyiv, Ukraine)

  • Yurii Andrashko

    (Department of System Analysis and Optimization Theory, Uzhhorod National University, 88000 Uzhhorod, Ukraine)

  • Svitlana Biloshchytska

    (Department of Information Technology, Kyiv National University of Construction and Architecture, 03680 Kyiv, Ukraine
    Department of Computer Technology and Data, Astana IT University, Astana 010000, Kazakhstan)

  • Adil Faizullin

    (Department of Quality Assurance, Astana IT University, Astana 010000, Kazakhstan)

Abstract

This study aims to estimate the scientific productivity of collective subjects. The objective is to build a method for evaluating scientific productivity through calculation, including for new collective subjects with a small citation network—the paper proposes the Time-Weighted PageRank method with citation intensity (TWPR-CI). The Citation Network Dataset (ver. 13) has been analyzed to verify the method. The dataset includes more than 5 million scientific publications and 48 million citations. Four classes of collective subjects (more than 27,000 collective subjects in total) were established. For each class, scientific productivity estimates from 2000 to 2021 were calculated using the PageRank, Time-Weighted PageRank, and TWPR-CI methods. It is shown that the advantage of the TWPR-CI method is the higher sensitivity of the scientific productivity estimates for new collective subjects on average during the first ten years of observation. At the same time, the assessment of scientific productivity for other collective subjects according to this method is stable. However, the small citation network of the new collective subjects prevents the adequate assessment of scientific productivity during the first years of its operation. Therefore, the TWPR-CI method can be used to assess the scientific productivity of collective subjects, in particular the productivity of new ones.

Suggested Citation

  • Alexander Kuchansky & Andrii Biloshchytskyi & Yurii Andrashko & Svitlana Biloshchytska & Adil Faizullin, 2022. "The Scientific Productivity of Collective Subjects Based on the Time-Weighted PageRank Method with Citation Intensity," Publications, MDPI, vol. 10(4), pages 1-17, October.
    • Handle: RePEc:gam:jpubli:v:10:y:2022:i:4:p:40-:d:948630
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    References listed on IDEAS

    as
    1. Fuli Zhang, 2017. "Evaluating journal impact based on weighted citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1155-1169, November.
    2. Massucci, Francesco Alessandro & Docampo, Domingo, 2019. "Measuring the academic reputation through citation networks via PageRank," Journal of Informetrics, Elsevier, vol. 13(1), pages 185-201.
    3. Ying Ding & Erjia Yan & Arthur Frazho & James Caverlee, 2009. "PageRank for ranking authors in co‐citation networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2229-2243, November.
    4. Yanan Wang & An Zeng & Ying Fan & Zengru Di, 2019. "Ranking scientific publications considering the aging characteristics of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 155-166, July.
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    Cited by:

    1. Andrii Biloshchytskyi & Oleksandr Kuchanskyi & Aidos Mukhatayev & Yurii Andrashko & Sapar Toxanov & Adil Faizullin & Khanat Kassenov, 2024. "Application of Time-Weighted PageRank Method with Citation Intensity for Assessing the Recent Publication Productivity and Partners Selection in R&D Collaboration," Publications, MDPI, vol. 12(4), pages 1-21, December.
    2. Oleksandr Kuchanskyi & Yurii Andrashko & Andrii Biloshchytskyi & Serik Omirbayev & Aidos Mukhatayev & Svitlana Biloshchytska & Adil Faizullin, 2023. "Gender-Related Differences in the Citation Impact of Scientific Publications and Improving the Authors’ Productivity," Publications, MDPI, vol. 11(3), pages 1-24, July.

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