R&D collaboration networks in the European framework programmes: data processing, network construction and selected results
By T. Roediger-Schluga, Michael J. Barber. 2008
119 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistical and Nonlinear Physics, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/c919c4d704abd35dd50e83cb4ca5e43567c88c3f
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In Economics and Econometrics
In Statistical and Nonlinear Physics
- Thomas Scherngell
- M. Paier
- Michael J. Barber
- Santo Fortunato
- Élisa Thébault
- Carsten F. Dormann
- Rouven Strauss
In Strategy and Management
Citations in the corpus
- Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Discrete Choice Model (2011, methodology): “2 The EUPRO database is constructed and maintained by AIT Austrian Institute of Technology GmbH by substantially standardizing raw data on EU-FP research collaborations obtained from the CORDIS database (Roediger-Schluga and Barber, 2008).”
- Modularity and community detection in bipartite networks. (2007, background): “Given the explicit dependence of the modularity upon a null model, it is clear that the specific choice of null model has a profound impact on the modularity.”
- Distinct spatial characteristics of industrial and public research collaborations: evidence from the fifth EU Framework Programme (2010, methodology): “…while for P(edu) we extract all 6 The sysres EUPRO database is constructed and maintained by the AIT Foresight & Policy Development Department by substantially standardising raw data on FP research collaborations obtained from the CORDIS database (see Roediger-Schluga and Barber 2008).”
- Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU framework programme (2009, methodology): “See, for example, Griliches (1990) for a detailed discussion on the advantages and shortcomings of patent data.”