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Detecting the historical roots of tribology research: a bibliometric analysis

Author

Listed:
  • Bakthavachalam Elango

    (IFET College of Engineering)

  • Lutz Bornmann

    (Administrative Headquarters of the Max Planck Society)

  • Govindaraju Kannan

    (IFET College of Engineering)

Abstract

In this study, the historical roots of tribology (a sub-field of mechanical engineering and materials science) are investigated using a newly developed scientometric method called “Reference Publication Year Spectroscopy (RPYS)”. The study is based on cited references (n = 577,472) in tribology research publications (n = 24,086). The Science Citation Index-Expanded (SCI-E) is used as data source. The results show that RPYS has the potential to identify the important publications: Most of the publications which have been identified in this study as highly cited (referenced) publications are landmark publications in the field of tribology.

Suggested Citation

  • Bakthavachalam Elango & Lutz Bornmann & Govindaraju Kannan, 2016. "Detecting the historical roots of tribology research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 305-313, April.
    • Handle: RePEc:spr:scient:v:107:y:2016:i:1:d:10.1007_s11192-016-1877-6
    DOI: 10.1007/s11192-016-1877-6
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    References listed on IDEAS

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    1. Werner Marx & Lutz Bornmann & Andreas Barth & Loet Leydesdorff, 2014. "Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 751-764, April.
    2. Jordan A. Comins & Thomas W. Hussey, 2015. "Detecting seminal research contributions to the development and use of the global positioning system by reference publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 575-580, August.
    3. Werner Marx & Lutz Bornmann, 2014. "Tracing the origin of a scientific legend by reference publication year spectroscopy (RPYS): the legend of the Darwin finches," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 839-844, June.
    4. Leydesdorff, Loet & Bornmann, Lutz & Marx, Werner & Milojević, Staša, 2014. "Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST," Journal of Informetrics, Elsevier, vol. 8(1), pages 162-174.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Werner Marx & Lutz Bornmann, 2016. "Change of perspective: bibliometrics from the point of view of cited references—a literature overview on approaches to the evaluation of cited references in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1397-1415, November.
    2. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.
    3. Comins, Jordan A. & Carmack, Stephanie A. & Leydesdorff, Loet, 2018. "Patent citation spectroscopy (PCS): Online retrieval of landmark patents based on an algorithmic approach," Journal of Informetrics, Elsevier, vol. 12(4), pages 1223-1231.
    4. Andreas Thor & Lutz Bornmann & Werner Marx & Rüdiger Mutz, 2018. "Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 591-608, July.
    5. Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
    6. Jordan A. Comins & Loet Leydesdorff, 2017. "Citation algorithms for identifying research milestones driving biomedical innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1495-1504, March.

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