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Optics: a bibliometric approach to detect emerging research domains and intellectual bases

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  • Yoshiyuki Takeda

    (University of Tokyo)

  • Yuya Kajikawa

    (University of Tokyo)

Abstract

Optics is an important research domain both for its scientific interest and industrial applications. In this paper, we constructed a citation network of papers and performed topological clustering method to investigate the structure of research and to detect emerging research domains in optics. We found that optics consists of main five subclusters, optical communication, quantum optics, optical data processing, optical analysis and lasers. Then, we further investigated the detailed subcluster structures in it. By doing so, we detected some emerging research domains such as nonlinearity in photonic crystal fiber, broad band parametric amplifier, and in-vivo imaging techniques. We also discuss the distinction between research front and intellectual base in optics.

Suggested Citation

  • Yoshiyuki Takeda & Yuya Kajikawa, 2009. "Optics: a bibliometric approach to detect emerging research domains and intellectual bases," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(3), pages 543-558, March.
    • Handle: RePEc:spr:scient:v:78:y:2009:i:3:d:10.1007_s11192-007-2012-5
    DOI: 10.1007/s11192-007-2012-5
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    5. Gregorio González-Alcaide & Pedro Llorente & José M. Ramos, 2016. "Bibliometric indicators to identify emerging research fields: publications on mass gatherings," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1283-1298, November.
    6. Zhang, Yi & Wu, Mengjia & Miao, Wen & Huang, Lu & Lu, Jie, 2021. "Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies," Journal of Informetrics, Elsevier, vol. 15(4).
    7. Galimkair Mutanov & Zhanar Omirbekova & Aijaz A. Shaikh & Zhansaya Issayeva, 2023. "Sustainability-Driven Green Innovation: Revolutionising Aerospace Decision-Making with an Intelligent Decision Support System," Sustainability, MDPI, vol. 16(1), pages 1-16, December.
    8. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    9. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    10. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Zhang, Huiling & Pang, Hongshen, 2021. "Multidimensional Scientometric indicators for the detection of emerging research topics," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    11. Ivan Jarić & Jelena Knežević-Jarić & Mirjana Lenhardt, 2014. "Relative age of references as a tool to identify emerging research fields with an application to the field of ecology and environmental sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 519-529, August.
    12. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    13. Robert K. Abercrombie & Akaninyene W. Udoeyop & Bob G. Schlicher, 2012. "A study of scientometric methods to identify emerging technologies via modeling of milestones," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 327-342, May.
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