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The emerging dynamic structure of national innovation studies: a bibliometric analysis

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  • Yutao Sun

    (Dalian University of Technology)

  • Seamus Grimes

    (National University of Ireland, Galway)

Abstract

The state is still the significant unit for innovative studies during the age of R&D globalization and innovation regionalization. Using the bibliometric method, this paper attempts to provide a comprehensive picture of national innovation studies based on data derived from the Web of Knowledge. In particular, we identify the most significant countries and institutions, major journals, seminal contributions and contributors, and clusters in the network of citations in the field of national innovation studies. The results are useful for understanding and promoting the field of national innovation.

Suggested Citation

  • Yutao Sun & Seamus Grimes, 2016. "The emerging dynamic structure of national innovation studies: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 17-40, January.
  • Handle: RePEc:spr:scient:v:106:y:2016:i:1:d:10.1007_s11192-015-1778-0
    DOI: 10.1007/s11192-015-1778-0
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    Cited by:

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    2. David Doloreux & Jose Gaviria de la Puerta & Iker Pastor-López & Igone Porto Gómez & Borja Sanz & Jon Mikel Zabala-Iturriagagoitia, 2019. "Territorial innovation models: to be or not to be, that’s the question," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1163-1191, September.
    3. Jamile Eleutério Delesposte & Luís Alberto Duncan Rangel & Marcelo Jasmim Meiriño & Ramon Baptista Narcizo & André Armando Mendonça de Alencar Junior, 2021. "Use of multicriteria decision aid methods in the context of sustainable innovations: bibliometrics, applications and trends," Environment Systems and Decisions, Springer, vol. 41(4), pages 501-522, December.
    4. Shiwangi Singh & Sanjay Dhir, 2019. "Structured review using TCCM and bibliometric analysis of international cause-related marketing, social marketing, and innovation of the firm," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 16(2), pages 335-347, December.
    5. Weishu Liu & Yishan Ding & Mengdi Gu, 2017. "Book reviews in academic journals: patterns and dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 355-364, January.
    6. Singh, Shiwangi & Dhir, Sanjay & Das, V. Mukunda & Sharma, Anuj, 2020. "Bibliometric overview of the Technological Forecasting and Social Change journal: Analysis from 1970 to 2018," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    7. Proksch, Dorian & Haberstroh, Marcus Max & Pinkwart, Andreas, 2017. "Increasing the national innovative capacity: Identifying the pathways to success using a comparative method," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 256-270.
    8. Yutao Sun & Chen Zhang & Robert A. W. Kok, 2020. "The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1003-1026, February.
    9. Liu, Weishu & Hu, Guangyuan & Tang, Li, 2018. "Missing author address information in Web of Science—An explorative study," Journal of Informetrics, Elsevier, vol. 12(3), pages 985-997.
    10. Caviggioli, Federico & Ughetto, Elisa, 2019. "A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society," International Journal of Production Economics, Elsevier, vol. 208(C), pages 254-268.
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