Journal of Nanoparticle Research

, 15:1951 | Cite as

Global nanotechnology development from 1991 to 2012: patents, scientific publications, and effect of NSF funding

  • Hsinchun Chen
  • Mihail C. Roco
  • Jaebong Son
  • Shan Jiang
  • Catherine A. Larson
  • Qiang Gao
Perspectives

Abstract

In a relatively short interval for an emerging technology, nanotechnology has made a significant economic impact in numerous sectors including semiconductor manufacturing, catalysts, medicine, agriculture, and energy production. A part of the United States (US) government investment in basic research has been realized in the last two decades through the National Science Foundation (NSF), beginning with the nanoparticle research initiative in 1991 and continuing with support from the National Nanotechnology Initiative after fiscal year 2001. This paper has two main goals: (a) present a longitudinal analysis of the global nanotechnology development as reflected in the United States Patent and Trade Office (USPTO) patents and Web of Science (WoS) publications in nanoscale science and engineering (NSE) for the interval 1991–2012; and (b) identify the effect of basic research funded by NSF on both indicators. The interval has been separated into three parts for comparison purposes: 1991–2000, 2001–2010, and 2011–2012. The global trends of patents and scientific publications are presented. Bibliometric analysis, topic analysis, and citation network analysis methods are used to rank countries, institutions, technology subfields, and inventors contributing to nanotechnology development. We then, examined how these entities were affected by NSF funding and how they evolved over the past two decades. Results show that dedicated NSF funding used to support nanotechnology R&D was followed by an increased number of relevant patents and scientific publications, a greater diversity of technology topics, and a significant increase of citations. The NSF played important roles in the inventor community and served as a major contributor to numerous nanotechnology subfields.

Keywords

Nanotechnology Nanoscience Public funding Patent analysis Bibliometric analysis Citation Longitudinal evaluation 

References

  1. Adams JD, Griliches Z (1998) Research productivity in a system of universities. Ann Econ Stat 49(50):127–162Google Scholar
  2. Beise M, Stahl H (1999) Public research and industrial innovations in Germany. Res Policy 28(4):397–422CrossRefGoogle Scholar
  3. Brin S, Page L (1998) The anatomy of a large-scale hypertextual Web search engine. Comput Netw ISDN Syst 30(1):107–117CrossRefGoogle Scholar
  4. Chen H, Roco MC, Son J (2013) Nanotechnology public funding and impact analysis: a tale of two decades (1991–2010). IEEE Nanotechnol 7(1):9–14Google Scholar
  5. Criscuolo P (2006) The home advantage effect and patent families. A comparison of OECD triadic patents, the USPTO and the EPO. Scientometrics 66(1):123–141Google Scholar
  6. Dang Y, Chen H, Zhang Y, Roco MC (2009) Knowledge sharing and diffusion patterns. IEEE Nanotechnol Mag 3(3):16–21Google Scholar
  7. Fazayeli F, Wang L, Mandziuk J (2008) Feature selection based on the rough set theory and expectation–maximization clustering algorithm. Rough sets and current trends in computing. In: 6th International conference, RSCTC 2008, Akron, OH, USA, 23–25 Oct 2008. Springer, BerlinGoogle Scholar
  8. Huang Z, Chen H, Yan L, Roco MC (2005) Longitudinal nanotechnology development (1991–2002): national science foundation funding and its impact on patents. J Nanopart Res 7(4):343–376Google Scholar
  9. Igami M, Okazaki T (2007) Capturing nanotechnology’s current state of development via analysis of patents. OECD science, technology and industry working papers, 2007/4. OECD Publishing, Paris CedexGoogle Scholar
  10. King J (1987) A review of bibliometric and other science indicators and their role in research evaluation. J Inf Sci 13(5):261–276CrossRefGoogle Scholar
  11. Kulkarni AV, Aziz B, Shams I, Busse JW (2009) Comparisons of citations in Web of Science, Scopus, and Google Scholar for articles published in general medical journals. JAMA 302(10):1092–1096Google Scholar
  12. Li X, Lin Y, Chen H, Roco MC (2007) Worldwide nanotechnology development: a comparative study of USPTO, EPO, and JPO patents (1976–2004). J Nanopart Res 9(6):977–1002Google Scholar
  13. Liu T, Liu S, Chen Z, Ma W (2003) An evaluation on feature selection for text clustering. In: Proceedings of the international conference on machine learning, AtlantaGoogle Scholar
  14. Narin F (1998) Patents and publicly funded research. Assessing the value of research in the chemical sciences. National Academy Press, Washington, DCGoogle Scholar
  15. Ordonez C, Cereghini P (2000) SQLEM: fast clustering in SQL using the EM algorithm. ACM SIGMOD Record. ACM, DallasGoogle Scholar
  16. Payne AA, Siow A (2003) Does federal research funding increase university research output? Adv Econ Anal Policy 3(1): Article 1Google Scholar
  17. Piekkola H (2007) Public funding of R&D and growth: firm-level evidence from Finland. Econ Innov New Technol 16(3):195–210CrossRefGoogle Scholar
  18. Roco MC (2000) Nanotechnology research directions. Kluwer, DordrechtCrossRefGoogle Scholar
  19. Sastry K, Rashmi H, Rao N (2010) Nanotechnology patents as R&D indicators for disease management strategies in agriculture. J Intellect Prop Rights 15:197–205Google Scholar
  20. Surdeanu M, Turmo J, Ageno A (2005) A hybrid unsupervised approach for document clustering. Proceedings of the eleventh ACM SIGKDD international conference on knowledge discovery in data mining. ACM, ParisGoogle Scholar
  21. Toole AA (2012) The impact of public basic research on industrial innovation: evidence from the pharmaceutical industry. Res Policy 41(1):1–12CrossRefGoogle Scholar
  22. Wang J, Shapira P (2011) Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology. Scientometrics 87(3):563–586CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Hsinchun Chen
    • 1
  • Mihail C. Roco
    • 2
  • Jaebong Son
    • 1
  • Shan Jiang
    • 1
  • Catherine A. Larson
    • 1
  • Qiang Gao
    • 1
  1. 1.Department of Management Information SystemsThe University of ArizonaTucsonUSA
  2. 2.National Science FoundationArlingtonUSA

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