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

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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.

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Notes

  1. In this paper, the term of national innovation system is equal to the term national system of innovation.

  2. The code corresponds to the literature in Appendix Table 8.

  3. A suggestion from Naubahar Sharif, Associate Professor, Division of Social Science, Hong Kong University of Science and Technology.

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Acknowledgments

The authors gratefully acknowledge the financial support from National Natural Science Foundation of China (NSFC) under the Grant No. 71203020, the Fundamental Research Funds for the Central Universities (DUT15ZD111), and the EU 7th Framework Programme-Marie Curie International Incoming Fellowships (MC IIF) and Yu-tao SUN truly appreciates the supports from Dr. Cong Cao—Professor at the University of Nottingham Ningbo China; Dr. Naubahar Sharif, Associate Professor, Hong Kong University of Science and Technology.

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Authors and Affiliations

  1. Faculty of Management and Economics, Dalian University of Technology, Dalian, P.R. China

    Yutao Sun

  2. Whitaker Institute, National University of Ireland, Galway, Galway, Ireland

    Seamus Grimes

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  1. Yutao Sun
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  2. Seamus Grimes
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Correspondence to Yutao Sun.

Appendix

Appendix

See Table 8.

Table 8 A reference between code and literature in Fig. 2
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Sun, Y., Grimes, S. The emerging dynamic structure of national innovation studies: a bibliometric analysis. Scientometrics 106, 17–40 (2016). https://doi.org/10.1007/s11192-015-1778-0

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