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World Cities of Scientific Knowledge: Systems, Networks and Potential Dynamics. An Analysis Based on Bibliometric Indicators

Author

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  • Christian Wichmann Matthiessen

    (Institute of Geography, University of Copenhagen, Oster Voldgade 10, Copenhagen K, 3460, Denmark, cwm@geogr.ku.dk)

  • Annette Winkel Schwarz

    (Analysis and Research Promotion Centre, Technical University of Denmark, Anker Engelunds Vej 1, Kgs. Lyngby, DK-2800, Denmark,. aws@vitis.dtu.dk)

  • Søren Find

    (Analysis and Research Promotion Centre, Technical University of Denmark, Anker Engelunds Vej 1, Kgs. Lyngby, DK-2800, Denmark, sf@vitis.dtu.dk)

Abstract

This paper is based on identification of the pattern of the upper level of the world city network of knowledge as published in a series of earlier papers. It is our aim to update the findings and relate to the general world city discussion. The structure of the world cities of knowledge network has changed over the past decade in favour of south-east Asian and south European cities and in disfavour of the traditional centres of North America and north-western Europe. The analysis is based on bibliometric data on the world’s 100 largest cities measured in terms of research output. The level of co-authorship between researchers in different cities is an indicator of links and respect, and the number of citations of papers produced by researchers located in each city is an indicator of respect. Finally, one research discipline is selected for an experiment in forecasting future hot spots of research.

Suggested Citation

  • Christian Wichmann Matthiessen & Annette Winkel Schwarz & Søren Find, 2010. "World Cities of Scientific Knowledge: Systems, Networks and Potential Dynamics. An Analysis Based on Bibliometric Indicators," Urban Studies, Urban Studies Journal Limited, vol. 47(9), pages 1879-1897, August.
    • Handle: RePEc:sae:urbstu:v:47:y:2010:i:9:p:1879-1897
    DOI: 10.1177/0042098010372683
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    References listed on IDEAS

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    1. 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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    Citations

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    Cited by:

    1. Wuestman, Mignon L. & Hoekman, Jarno & Frenken, Koen, 2019. "The geography of scientific citations," Research Policy, Elsevier, vol. 48(7), pages 1771-1780.
    2. Christian Wichmann Matthiessen & Annette Winkel Schwarz & Søren Find, 2011. "Research Nodes and Networks," Chapters, in: David Emanuel Andersson & Åke E. Andersson & Charlotta Mellander (ed.), Handbook of Creative Cities, chapter 11, Edward Elgar Publishing.
    3. Jarno Hoekman & Koen Frenken, 2013. "Proximity and Stratification in European Scientific Research Collaboration Networks: A Policy Perspective," Advances in Spatial Science, in: Thomas Scherngell (ed.), The Geography of Networks and R&D Collaborations, edition 127, chapter 0, pages 263-277, Springer.
    4. Shiwei Lu & Yaping Huang & Zhiyuan Zhao & Xiping Yang, 2018. "Exploring the Hierarchical Structure of China’s Railway Network from 2008 to 2017," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    5. René Belderbos & Helen S. Du & Anthony Goerzen, 2017. "Global Cities, Connectivity, and the Location Choice of MNC Regional Headquarters," Journal of Management Studies, Wiley Blackwell, vol. 54(8), pages 1271-1302, December.
    6. Maisonobe, Marion & Eckert, Denis & Grossetti, Michel & Jégou, Laurent & Milard, Béatrice, 2016. "The world network of scientific collaborations between cities: domestic or international dynamics?," Journal of Informetrics, Elsevier, vol. 10(4), pages 1025-1036.
    7. Breandán hUallacháin & Der-Shiuan Lee, 2014. "Urban centers and networks of co-invention in American biotechnology," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(3), pages 799-823, May.
    8. Jingjing Zhang & Yan Yan & Jiancheng Guan, 2015. "Scientific relatedness in solar energy: a comparative study between the USA and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1595-1613, February.
    9. Ben Derudder & Christof Parnreiter, 2014. "Introduction: The Interlocking Network Model for Studying Urban Networks: Outline, Potential, Critiques, and Ways Forward," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(4), pages 373-386, September.
    10. Marion Maisonobe & Michel Grossetti & Béatrice Milard & Laurent Jégou & Denis Eckert, 2017. "The global geography of scientific visibility: a deconcentration process (1999–2011)," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 479-493, October.
    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. Zhongfan JING & Guang ZHANG, 2016. "On the Structural Features of Scientific and Technological Innovation Network in China’s Urban System: Based on the Analysis of Cooperation Network of High-Level Papers," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-22, December.
    13. William F. Lever, 2013. "Evaluating the urban milieu of an individual city," Chapters, in: Peter Karl Kresl & Jaime Sobrino (ed.), Handbook of Research Methods and Applications in Urban Economies, chapter 15, pages 372-395, Edward Elgar Publishing.

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