Personal Research Database Bibliometric

Title: Urban Studies

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ISSN: 0042-0980

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Matthiessen, C.W. and Schwarz, A.W. (1999), Scientific centres in Europe: An analysis of research strength and patterns of specialisation based on bibliometric indicators. Urban Studies, 36 (3), 453-477.

Full Text: 1999\Urb Stu36, 453.pdf

Abstract: This paper presents the first analysis of scientific strength by output (papers in the Science Citation Index 1994-96) produced by authors from the ‘greater’ urban regions of Europe. Top lists of European centres are indicated. Four agglomerations constitute the European super-league of science: London, Paris, Moscow and the Dutch urban agglomeration of Amsterdam, the Hague, Rotterdam and Utrecht. The next layer could be named the primary league and comprises 19 large research centres. A third group of 16 cities forms a secondary league of 16 smaller research centres. These upper-level research strongholds are categorised in the paper where patterns of specialisations by absolute and relative distribution of research disciplines for each city are identified and families of cities by research pattern are analysed and compared within the perspective of urban economic growth and change.

Matthiessen, C.W., Schwarz, A.W. and Find, S. (2002), The top-level global research system, 1997-99: Centres, networks and nodality. An analysis based on bibliometric indicators. Urban Studies, 39 (5-6), 903-927.

Full Text: 2002\Urb Stu39, 903.pdf

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 Citation 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, Genève-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, Genève-LaUSAnne, Basel-Mulhouse-Freiburg and Cambridge which are in the lead.

? Matthiessen, C.W., Schwarz, A.W. and Find, S. (2010), World cities of scientific knowledge: Systems, networks and potential dynamics. An analysis based on bibliometric indicators. Urban Studies, 47 (9), 1879-1897.

Full Text: 2010\Urb Stu47, 1879.pdf

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.

Keywords: Bibliometric, Centers, Citations, City Network, Collaboration, Europe, Geographical Proximity, Indicators, Knowledge Network, Localization, Patterns, Research, Research Output

? Grossetti, M., Eckert, D., Gingras, Y., Jegou, L., Lariviere, V. and Milard, B. (2014), Cities and the geographical deconcentration of scientific activity: A multilevel analysis of publications (1987-2007). Urban Studies, 51 (10), 2219-2234.

Full Text: 2014\Urb Stu51, 2219.pdf

Abstract: Most current scientific policies incorporate debates on cities and the geographic organisation of scientific activity. Research on ‘world cities’ develops the idea that interconnected agglomerations can better take advantage of international competition. Thus, the increasing concentration of activities in these cities at the expense of others could be observed by certain scholars using measures based on scientific publications. Others, however, show that an opposite trend is emerging: the largest cities are undergoing a relative decline in a country’s scientific activities. To go beyond this seeming contradiction, this paper provides a global analysis of all countries with papers in the Web of Science over the period 1987-2007. The author’s addresses were geocoded and grouped into agglomerations. Registering of papers was based on the fractional counting of multi-authored publications, and the results are unambiguous: deconcentration is the dominant trend both globally and within countries, with some exceptions for which explanations are suggested.

Keywords: Activity, Agglomeration, Agglomerations, Analysis, Bibliometric Indicators, Citations, Cities, Collaboration, Competition, Concentration, Decline, Europe, Geography, Global, International, Measures, Networks, Papers, Patterns, Policies, Publications, Research, Science, Science Studies, Scientific Activities, Scientific Publications, Systems, Trend, Web Of Science, World

? Nepelski, D. and De Prato, G. (2015), Corporate control, location and complexity of ICT R&D: A network analysis at the city level. Urban Studies, 52 (4), 721-737.

Full Text: 2015\Urb Stu52, 721.pdf

Abstract: We study the global system of information and communication technology (ICT) research and development (R&D) locations at city level by applying network analysis and profiling R&D locations with respect to technological complexity. We analyse how the position of a city in the network interacts with the level of its technological complexity. The results show that the ownership and location of R&D activities are concentrated. However, cities with high levels of R&D-centre ownership are not necessarily the most important locations of R&D activity. Instead, cities where the corporate control of R&D activities is concentrated play the role of the network hubs. We find that there is a clear relationship between the level of technological complexity and the choice of a city as a location for R&D activity and its role as a network hub. Along with the already established global cities, Chinese cities now occupy key positions in the ICT R&D network.

Keywords: Activity, Analysis, Asia, Bibliometric Indicators, Centers, Chinese, Chinese Cities, Choice, Cities, Communication, Complexity, Control, Development, European-Union, Firms, Global, Globalisation, Globalization, Ict, Information, Information And Communication, Information And Communication Technology, Innovation And R&D, Internationalization, Location, Mar, Network, Network Analysis, Networks, Position, Profiling, R&D, Research, Research And Development, Role, Specialisation, Technological Complexity, Technology, World