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Commonalities and differences between scholarly and technical collaboration

Author

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  • Martin Meyer

    (SPRU, University of Sussex, Freemann Centre Brighton)

  • Sujit Bhattacharya

    (NISTADS National Institute of Science, Technology and Development Studies)

Abstract

Co-authorship analysis is a well-established tool in bibliometric analysis. It can be used at various levels to trace collaborative links between individuals, organisations, or countries. Increasingly, informetric methods are applied to patent data. It has been shown for another method that bibliometric tools cannot be applied without difficulty. This is due to the different process in which a patent is filed, examined, and granted and a scientific paper is submitted, refereed and published. However, in spite of the differences, there are also parallels between scholarly papers and patents. For instance, both papers and patents are the result of an intellectual effort, both disclose relevant information, and both are subject to a process of examination. Given the similarities, we shall raise the question as to which extent one can transfer co-authorship analysis to patent data.

Suggested Citation

  • Martin Meyer & Sujit Bhattacharya, 2004. "Commonalities and differences between scholarly and technical collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 443-456, November.
  • Handle: RePEc:spr:scient:v:61:y:2004:i:3:d:10.1023_b:scie.0000045120.04489.80
    DOI: 10.1023/B:SCIE.0000045120.04489.80
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    References listed on IDEAS

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    8. Martin Meyer & Tatiana Siniläinen & Jan Timm Utecht, 2003. "Towards hybrid Triple Helix indicators: A study of university-related patents and a survey of academic inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 321-350, October.
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    Cited by:

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    3. Cimenler, Oguz & Reeves, Kingsley A. & Skvoretz, John, 2015. "An evaluation of collaborative research in a college of engineering," Journal of Informetrics, Elsevier, vol. 9(3), pages 577-590.
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    5. Domenico De Stefano & Susanna Zaccarin, 2013. "Modelling Multiple Interactions in Science and Technology Networks," Industry and Innovation, Taylor & Francis Journals, vol. 20(3), pages 221-240, April.
    6. 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.
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    8. Lissoni, Francesco & Montobbio, Fabio & Zirulia, Lorenzo, 2013. "Inventorship and authorship as attribution rights: An enquiry into the economics of scientific credit," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 49-69.
    9. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2011. "Ranking patent assignee performance by h-index and shape descriptors," Journal of Informetrics, Elsevier, vol. 5(2), pages 303-312.
    10. Xia Gao & Jiancheng Guan & Ronald Rousseau, 2011. "Mapping collaborative knowledge production in China using patent co-inventorships," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 343-362, August.
    11. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    12. Mirko Titze & Matthias Brachert, 2014. "European Cluster Networks ? Insights from 7th EU Framework Program," ERSA conference papers ersa14p552, European Regional Science Association.
    13. Jo Royle & Louisa Coles & Dorothy Williams & Paul Evans, 2007. "Publishing in international journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 59-86, April.
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    15. José Luis Ortega, 2011. "Collaboration patterns in patent networks and their relationship with the transfer of technology: the case study of the CSIC patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 657-666, June.
    16. Bergek, Anna & Bruzelius, Maria, 2010. "Are patents with multiple inventors from different countries a good indicator of international R&D collaboration? The case of ABB," Research Policy, Elsevier, vol. 39(10), pages 1321-1334, December.
    17. Joon Hyung Cho & So Young Sohn, 2017. "Competing risk model for predicting stabilization period of university spin-off ventures," International Entrepreneurship and Management Journal, Springer, vol. 13(3), pages 777-796, September.
    18. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Chunmian Ge & Ke-Wei Huang & Ivan P. L. Png, 2016. "Engineer/scientist careers: Patents, online profiles, and misclassification bias," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 232-253, January.
    19. Cimenler, Oguz & Reeves, Kingsley A. & Skvoretz, John, 2014. "A regression analysis of researchers’ social network metrics on their citation performance in a college of engineering," Journal of Informetrics, Elsevier, vol. 8(3), pages 667-682.
    20. Mu-Hsuan Huang & Hsiao-Wen Yang & Dar-Zen Chen, 2015. "Industry–academia collaboration in fuel cells: a perspective from paper and patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1301-1318, November.

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