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Measuring science–technology interaction using rare inventor–author names

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  • Boyack, Kevin W.
  • Klavans, Richard

Abstract

The relationship between science and technology has been extensively studied from both theoretical and quantitative perspectives. Quantitative studies typically use patents as proxy for technology and scientific papers as proxy for science, and investigate the relationship between the two. Most such studies have been limited to a single discipline or country. In this paper, we investigate science–technology interaction over a broad range of science and technology by identifying and validating a set of 18,251 inventor–authors through matching of rare names obtained from paper and patent data. These inventor–authors are listed as inventors on nearly 56,000 US patents between 2002 and 2006. Analysis of the distribution of these patents over classes shows that this 6.7% sample is a suitable sample for further analysis. In addition, a map of 290 IPC patent subclasses was created, showing the relationship between patent classes and industries as well as the distribution of patent classes with high science orientation and low science orientation.

Suggested Citation

  • Boyack, Kevin W. & Klavans, Richard, 2008. "Measuring science–technology interaction using rare inventor–author names," Journal of Informetrics, Elsevier, vol. 2(3), pages 173-182.
    • Handle: RePEc:eee:infome:v:2:y:2008:i:3:p:173-182
    DOI: 10.1016/j.joi.2008.03.001
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    References listed on IDEAS

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    1. Meyer, Martin, 2000. "Does science push technology? Patents citing scientific literature," Research Policy, Elsevier, vol. 29(3), pages 409-434, March.
    2. Martin Meyer, 2006. "Are Co-Active Researchers on Top of their Class? An Exploratory Comparison of Inventor-Authors with their Non-Inventing Peers in Nano-Science and Technology," SPRU Working Paper Series 144, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Carpenter, Mark P. & Narin, Francis, 1983. "Validation study: Patent citations as indicators of science and foreign dependence," World Patent Information, Elsevier, vol. 5(3), pages 180-185.
    4. Richard Klavans & Kevin W. Boyack, 2006. "Quantitative evaluation of large maps of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 475-499, September.
    5. Murray, Fiona, 2002. "Innovation as co-evolution of scientific and technological networks: exploring tissue engineering," Research Policy, Elsevier, vol. 31(8-9), pages 1389-1403, December.
    6. Kevin W. Boyack & Richard Klavans & Katy Börner, 2005. "Mapping the backbone of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 351-374, August.
    7. Meyer, Martin, 2006. "Are patenting scientists the better scholars?: An exploratory comparison of inventor-authors with their non-inventing peers in nano-science and technology," Research Policy, Elsevier, vol. 35(10), pages 1646-1662, December.
    8. Wolfgang Glänzel & Martin Meyer, 2003. "Patents cited in the scientific literature: An exploratory study of 'reverse' citation relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 415-428, October.
    9. Arnold Verbeek & Koenraad Debackere & Marc Luwel & Petra Andries & Edwin Zimmermann & Filip Deleus, 2002. "Linking science to technology: Using bibliographic references in patents to build linkage schemes," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 399-420, July.
    10. Narin, Francis & Olivastro, Dominic, 1992. "Status report: Linkage between technology and science," Research Policy, Elsevier, vol. 21(3), pages 237-249, June.
    11. Martin S. Meyer, 2001. "Patent citation analysis in a novel field of technology:An exploration of nano-science and nano-technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 163-183, April.
    12. Martin Meyer, 2003. "Academic patents as an indicator of useful research? A new approach to measure academic inventiveness," Research Evaluation, Oxford University Press, vol. 12(1), pages 17-27, April.
    13. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    14. Richard Klavans & Kevin W. Boyack, 2006. "Identifying a better measure of relatedness for mapping science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(2), pages 251-263, January.
    15. Noyons, E. C. M. & van Raan, A. F. J. & Grupp, H. & Schmoch, U., 1994. "Exploring the science and technology interface: inventor-author relations in laser medicine research," Research Policy, Elsevier, vol. 23(4), pages 443-457, July.
    16. Bonaccorsi, Andrea & Thoma, Grid, 2007. "Institutional complementarity and inventive performance in nano science and technology," Research Policy, Elsevier, vol. 36(6), pages 813-831, July.
    17. Diana Hicks & Hiroyuki Tomizawa & Yoshiko Saitoh & Shinichi Kobayashi, 2004. "Bibliometric techniques in the evaluation of federally funded research in the United States," Research Evaluation, Oxford University Press, vol. 13(2), pages 76-86, August.
    18. Martin Meyer, 2002. "Tracing knowledge flows in innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 193-212, June.
    19. Balconi, Margherita & Breschi, Stefano & Lissoni, Francesco, 2004. "Networks of inventors and the role of academia: an exploration of Italian patent data," Research Policy, Elsevier, vol. 33(1), pages 127-145, January.
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    5. Sung, Hui-Yun & Wang, Chun-Chieh & Huang, Mu-Hsuan & Chen, Dar-Zen, 2015. "Measuring science-based science linkage and non-science-based linkage of patents through non-patent references," Journal of Informetrics, Elsevier, vol. 9(3), pages 488-498.
    6. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    7. Loet Leydesdorff & Daniele Rotolo & Ismael Rafols, 2012. "Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2239-2253, November.
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    10. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
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    14. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    15. 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.
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    17. Quirin, Arnaud & Cordón, Oscar & Vargas-Quesada, Benjamín & de Moya-Anegón, Félix, 2010. "Graph-based data mining: A new tool for the analysis and comparison of scientific domains represented as scientograms," Journal of Informetrics, Elsevier, vol. 4(3), pages 291-312.
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    21. Anthony F. J. Raan, 2017. "Sleeping beauties cited in patents: Is there also a dormitory of inventions?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1123-1156, March.

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