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Research impact analysis of an institute using Scopus data and its hierarchical order visualization

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  • Prem Kumar Singh

    (Gandhi Institute of Technology and Management)

Abstract

Recent time the performance measurement of any institute (or author) is considered as one of the major issues. The reason is the given institute publishes several papers in distinct area which may contain multiple-affiliations or authors. In this case, the precise analysis of quantity and quality with respect to domain based expert, the founding author is difficult tasks. It requires different metric based on expert Turiyam awareness rather than just h-index, i10, g-index or t-index. To achieve this goal, a method is proposed to investigate the high quality papers, type of co-authorship, highly cited papers, regular paper, special issues, short notes, review, letter to editor, book chapter, conference papers, frontier research etc. The motive is to measure the two institutes and its performance equally on several other parameters rather than only document count and citation. The proposed method will also provide a way to measure the performance of any Institute using patent granted, copyright and software code. In addition another method is proposed to visualize the performance of two or more institute in hierarchical order using properties of concept lattice. To achieve this goal, one of the best Indian institutes i.e. IISC Bengaluru is considered for the illustration. The data is taken from SCOPUS to demonstrate the method and its validation. Graphical abstract

Suggested Citation

  • Prem Kumar Singh, 2023. "Research impact analysis of an institute using Scopus data and its hierarchical order visualization," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2859-2892, June.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-022-01504-8
    DOI: 10.1007/s11135-022-01504-8
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    References listed on IDEAS

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    1. Jia Huang & Ling-Xiang Mao & Hu-Chen Liu & Min-shun Song, 2022. "Quality function deployment improvement: A bibliometric analysis and literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1347-1366, June.
    2. J. E. Hirsch, 2019. "hα: An index to quantify an individual’s scientific leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 673-686, February.
    3. Alexander Subbotin & Samin Aref, 2021. "Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7875-7900, September.
    4. Vilker Zucolotto Pessin & Luciana Harue Yamane & Renato Ribeiro Siman, 2022. "Smart bibliometrics: an integrated method of science mapping and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3695-3718, June.
    5. Jeremiah Joven Joaquin & Raymond R. Tan, 2021. "The lost art of short communications in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9633-9637, December.
    6. John P A Ioannidis & Kevin W Boyack & Jeroen Baas, 2020. "Updated science-wide author databases of standardized citation indicators," PLOS Biology, Public Library of Science, vol. 18(10), pages 1-3, October.
    7. Kiran Sharma, 2021. "Team size and retracted citations reveal the patterns of retractions from 1981 to 2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8363-8374, October.
    8. Marek Kosmulski, 2021. "Posthumous co-authorship revisited," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8227-8231, September.
    9. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    10. Benedetto Torrisi, 2015. "The quality of work in public universities with no-parametric statistical models," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 349-363, January.
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