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Science cited in patents: A geographic "flow" analysis of bibliographic citation patterns in patents

Author

Listed:
  • Arnold Verbeek

    (K.U. Leuven)

  • Koenraad Debackere

    (Katholieke Universiteit Leuven)

  • Marc Luwel

    (Ministry of the Flemish Community, Boudewijngebouw)

Abstract

The interplay and cross-fertilization between science and technology, but also the specific role of science for technological development, have received ample attention in both the research and the policy communities. It is in this context that the concepts of “absorptive capacity” and “knowledge spillovers” play an important role. We operationalize the science-technology link by quantifying and modeling bibliographic references to the scientific literature as they occur in patents. This approach allows exploring the associative patterns between science creation (as emerging from the scientific literature) and technology development (as emerging from the patent literature). In the current paper, we focus on an analysis of the geographic distribution of the science citation patterns in patents, singling out two fields of (different) technological development, namely biotechnology and information technology. In both fields, the science citation flows from the European, Japanese and US science bases into USPTO and EPO-patents are explored and modeled. Intensive geographic citation flows between the regions are identified, pointing (amongst others) to the strength of both the US and the European science bases as sources for technological activity and creativity around the world.

Suggested Citation

  • Arnold Verbeek & Koenraad Debackere & Marc Luwel, 2003. "Science cited in patents: A geographic "flow" analysis of bibliographic citation patterns in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 241-263, October.
    • Handle: RePEc:spr:scient:v:58:y:2003:i:2:d:10.1023_a:1026232526034
    DOI: 10.1023/A:1026232526034
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    References listed on IDEAS

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    Cited by:

    1. Poh-Kam Wong & Yuen-Ping Ho, 2007. "Knowledge sources of innovation in a small open economy: The case of Singapore," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 223-249, February.
    2. Shyh-Jen Wang, 2007. "Factors to evaluate a patent in addition to citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 509-522, June.
    3. Dominik Heinisch & Önder Nomaler & Guido Buenstorf & Koen Frenken & Harry Lintsen, 2016. "Same place, same knowledge -- same people? The geography of non-patent citations in Dutch polymer patents," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(6), pages 553-572, September.
    4. Guijie Zhang & Yuqiang Feng & Guang Yu & Luning Liu & Yanqiqi Hao, 2017. "Analyzing the time delay between scientific research and technology patents based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1287-1306, June.
    5. Leonardo Costa Ribeiro & Ricardo Machado Ruiz & Américo Tristão Bernardes & Eduardo Motta Albuquerque, 2010. "Matrices of science and technology interactions and patterns of structured growth: implications for development," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 55-75, April.
    6. Yan Qi & Xin Zhang & Zhengyin Hu & Bin Xiang & Ran Zhang & Shu Fang, 2022. "Choosing the right collaboration partner for innovation: a framework based on topic analysis and link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5519-5550, September.
    7. Joaquín M. Azagra-Caro, 2012. "Access to universities’ public knowledge: who’s more nationalist?," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 671-691, June.
    8. Leonardo Costa Ribeiro & Glenda Kruss & Gustavo Britto & Américo Tristão Bernardes & Eduardo Motta e Albuquerque, 2014. "A methodology for unveiling global innovation networks: patent citations as clues to cross border knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 61-83, October.
    9. Yoonjung An & Mintak Han & Yongtae Park, 2017. "Identifying dynamic knowledge flow patterns of business method patents with a hidden Markov model," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 783-802, November.
    10. Leonardo Costa Ribeiro & Ricardo Machado Ruiz & Américo Tristão Bernardes & Eduardo da Motta e Albuquerque, 2008. "Matrices of science and technology interactions: implications for development," Textos para Discussão Cedeplar-UFMG td333, Cedeplar, Universidade Federal de Minas Gerais.
    11. Jarno Hoekman & Koen Frenken & Frank Oort, 2009. "The geography of collaborative knowledge production in Europe," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 721-738, September.
    12. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.
    13. Huang, Mu-Hsuan & Huang, Wei-Tzu & Chen, Dar-Zen, 2014. "Technological impact factor: An indicator to measure the impact of academic publications on practical innovation," Journal of Informetrics, Elsevier, vol. 8(1), pages 241-251.
    14. Mogoutov, Andrei & Cambrosio, Alberto & Keating, Peter & Mustar, Philippe, 2008. "Biomedical innovation at the laboratory, clinical and commercial interface: A new method for mapping research projects, publications and patents in the field of microarrays," Journal of Informetrics, Elsevier, vol. 2(4), pages 341-353.
    15. Chihmao Hsieh, 2011. "Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 381-404, February.

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