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Interdisciplinarity of nano research fields: a keyword mining approach

Author

Listed:
  • Lili Wang

    (Maastricht University)

  • Ad Notten

    (Maastricht University)

  • Alexandru Surpatean

    (Maastricht University)

Abstract

Using a keyword mining approach, this paper explores the interdisciplinary and integrative dynamics in five nano research fields. We argue that the general trend of integration in nano research fields is converging in the long run, although the degree of this convergence depends greatly on the indicators one chooses. Our results show that nano technologies applied in the five studied nano fields become more diverse over time. One field learns more and more related technologies from others. The publication and citation analysis also proves that nano technology has developed to a relatively mature stage and has become a standardized and codified technology.

Suggested Citation

  • Lili Wang & Ad Notten & Alexandru Surpatean, 2013. "Interdisciplinarity of nano research fields: a keyword mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 877-892, March.
    • Handle: RePEc:spr:scient:v:94:y:2013:i:3:d:10.1007_s11192-012-0856-9
    DOI: 10.1007/s11192-012-0856-9
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hamid R. Jamali & Ghasem Azadi-Ahmadabadi & Saeid Asadi, 2018. "Interdisciplinary relations of converging technologies: Nano–Bio–Info–Cogno (NBIC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1055-1073, August.
    2. Stefano Scarazzati & Lili Wang, 2019. "The effect of collaborations on scientific research output: the case of nanoscience in Chinese regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 839-868, November.
    3. Jennifer Ann Stevenson & Jin Zhang, 2015. "A temporal analysis of institutional repository research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1491-1525, December.
    4. Konstantin Fursov & Alina Kadyrova, 2017. "How the analysis of transitionary references in knowledge networks and their centrality characteristics helps in understanding the genesis of growing technology areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1947-1963, June.
    5. Coccia, Mario & Wang, Lili, 2015. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 155-169.
    6. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
    7. Wolfgang Glänzel & Koenraad Debackere, 2022. "Various aspects of interdisciplinarity in research and how to quantify and measure those," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5551-5569, September.
    8. Euiseok Kim & Yongrae Cho & Wonjoon Kim, 2014. "Dynamic patterns of technological convergence in printed electronics technologies: patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 975-998, February.
    9. Lili Wang & Zexia Li, 2021. "Knowledge flows from public science to industrial technologies," The Journal of Technology Transfer, Springer, vol. 46(4), pages 1232-1255, August.
    10. Shiyun Wang & Jin Mao & Yujie Cao & Gang Li, 2022. "Integrated knowledge content in an interdisciplinary field: identification, classification, and application," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6581-6614, November.
    11. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    12. Wang, Lili & Jiang, Shan & Zhang, Shiyun, 2020. "Mapping technological trajectories and exploring knowledge sources: A case study of 3D printing technologies," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    13. Tomaz Bartol & Karmen Stopar, 2015. "Nano language and distribution of article title terms according to power laws," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 435-451, May.
    14. Zhichao Ba & Yujie Cao & Jin Mao & Gang Li, 2019. "A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1455-1486, June.
    15. Massaro, Sebastiano & Lorenzoni, Gianni, 2021. "Nanomedicine: a socio-technical system," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Wang L. & Coccia M., 2015. "Evolutionary convergence of the patterns of international research collaborations across scientific fields," MERIT Working Papers 2015-011, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

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    More about this item

    Keywords

    Nanoscience and nanotechnology; Interdisciplinarity; Research fields; Publication analysis; Citation analysis; Institutional cooperation; Vocabulary mining; Rough set theory;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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