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The Top-level Global Research System, 1997-99: Centres, Networks and Nodality. An Analysis Based on Bibliometric Indicators

Author

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  • Christian Wichmann Matthiessen

    (Institute of Geography, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen K, Denmark, cwm@geogr.ku.dk)

  • Annette Winkel Schwarz

    (Technical Knowledge Centre of Denmark, Postbox 777, 2800 Lyngby, Denmark, aws@dtv.dk)

  • Søren Find

    (Technical Knowledge Centre of Denmark, Postbox 777, 2800 Lyngby, Denmark, sf@dtv.dk)

Abstract

The importance of the knowledge-base in regional and urban competition is generally recognised, although causal relations between urban and regional economic growth and knowledge level are far from clear. This paper presents the first analysis of the strength, interrelations and nodality of the global research centres. The data are records in the Science Catation Index 1997-99 of papers produced by authors from the 40 largest `greater' urban regions of the world as measured by research output. The network of research co-operation depends on nationality, distance and other factors. The top-level nodes in the co-operation network of the world are London, Geneve-Lausanne and the San Francisco Bay Area. In absolute number of co-authored papers, Los Angeles, Boston and New York constitute a second level and, when observed links are related to expected links, the second level combines Amsterdam-Hague-Rotterdam-Utrecht, Paris, Basel-Mulhouse-Freiburg and Copenhagen-Lund. As expected, the networks of citation are, by contrast, very independent of distance, but not of nationality. The primary categories of research centres for the total number of citings presented are San Diego, Seattle, Boston, New York and the San Francisco Bay Area. When we turn to the international data-set, it is Mannheim-Heidelberg, Geneve-Lausanne, Basel-Mulhouse-Freiburg and Cambridge which are in the lead.

Suggested Citation

  • Christian Wichmann Matthiessen & Annette Winkel Schwarz & Søren Find, 2002. "The Top-level Global Research System, 1997-99: Centres, Networks and Nodality. An Analysis Based on Bibliometric Indicators," Urban Studies, Urban Studies Journal Limited, vol. 39(5-6), pages 903-927, May.
    • Handle: RePEc:sae:urbstu:v:39:y:2002:i:5-6:p:903-927
    DOI: 10.1080/00420980220128372
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    References listed on IDEAS

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    2. Andersson, Ake E & Persson, Olle, 1993. "Networking Scientists," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 27(1), pages 11-21.
    3. Andersson, Ake E. & Anderstig, Christer & Harsman, Bjorn, 1990. "Knowledge and communications infrastructure and regional economic change," Regional Science and Urban Economics, Elsevier, vol. 20(3), pages 359-376, November.
    4. Zhang, Wei-Bin, 1994. "Knowledge, Growth and Patterns of Trade," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 28(3), pages 285-303, September.
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    Citations

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    Cited by:

    1. Wang, Jue & Zhang, Liwei, 2018. "Proximal advantage in knowledge diffusion: The time dimension," Journal of Informetrics, Elsevier, vol. 12(3), pages 858-867.
    2. Wuestman, Mignon L. & Hoekman, Jarno & Frenken, Koen, 2019. "The geography of scientific citations," Research Policy, Elsevier, vol. 48(7), pages 1771-1780.
    3. Jiang Wu, 2013. "Geographical knowledge diffusion and spatial diversity citation rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 181-201, January.
    4. Todd M. Gabe, 2009. "Knowledge And Earnings," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 439-457, August.
    5. Jo Royle & Louisa Coles & Dorothy Williams & Paul Evans, 2007. "Publishing in international journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 59-86, April.
    6. Edward J. Malecki, 2010. "Everywhere? The Geography Of Knowledge," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 493-513, February.
    7. Fenglian Liu & Aiwen Lin & Huanhuan Wang & Yuling Peng & Song Hong, 2016. "Global research trends of geographical information system from 1961 to 2010: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 751-768, February.
    8. Matthias Firgo & Peter Mayerhofer, 2016. "Wissensintensive Unternehmensdienste, Wissens-Spillovers und regionales Wachstum. Teilprojekt 3: Zur Standortstruktur von wissensintensiven Unternehmensdiensten – Fakten, Bestimmungsgründe, regionalpo," WIFO Studies, WIFO, number 59427.
    9. Bornmann, Lutz & Leydesdorff, Loet & Walch-Solimena, Christiane & Ettl, Christoph, 2011. "Mapping excellence in the geography of science: An approach based on Scopus data," Journal of Informetrics, Elsevier, vol. 5(4), pages 537-546.
    10. Leo van den Berg & Erik Braun & Willem van Winden, 2014. "Enhancing urban competitiveness through innovative growth clusters," Chapters, in: Pengfei Ni & Zheng Qiongjie (ed.), Urban Competitiveness and Innovation, chapter 6, pages 67-90, Edward Elgar Publishing.
    11. Bornmann, Lutz & Waltman, Ludo, 2011. "The detection of “hot regions” in the geography of science—A visualization approach by using density maps," Journal of Informetrics, Elsevier, vol. 5(4), pages 547-553.
    12. Daniel Nepelski & Giuseppe Piroli & Giuditta De Prato, 2016. "European Start-up Hotspots: An Analysis based on VC-backed Companies," JRC Research Reports JRC101215, Joint Research Centre.

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