International collaboration in science and the formation of a core group
By Loet Leydesdorff, Caroline S. Wagner. J. Informetrics, 2008
442 citations recorded by the source corpus.
International collaboration as measured by co-authorship relations on refereed papers grew linearly from 1990 to 2005 in terms of the number of papers, but exponentially in terms of the number of international addresses. This confirms Persson et al.'s [Persson, O., Glanzel, W., & Danell, R. (2004). Inflationary bibliometrics values: The role of scientific collaboration and the need for relative indicators in evaluative studies. Scientometrics, 60(3), 421–432] hypothesis of an inflation in international collaboration. Patterns in international collaboration in science can be considered as network effects, since there is no political institution mediating relationships at that level except for the initiatives of the European Commission. Science at the international level shares features with other complex adaptive systems whose order arises from the interactions of hundreds of agents pursuing self-interested strategies. During the period 2000–2005, the network of global collaborations appears to have reinforced the formation of a core group of fourteen most cooperative countries. This core group can be expected to use knowledge from the global network with great efficiency, since these countries have strong national systems. Countries at the periphery may be disadvantaged by the increased strength of the core.
Subfields: Economics and Econometrics, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/296c410ffde68090cf06f941e474677ab4eaad8a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Enrique Herrera-Viedma
- Manuel Expósito-Langa
- J. Tomás-Miquel
- Débora Nicolau-Juliá
- Ming Tang
- Zhengjun Wan
- Huchang Liao
- Marc A. Rosen
In Statistical and Nonlinear Physics
- Enrique Herrera-Viedma
- Manuel Expósito-Langa
- J. Tomás-Miquel
- Débora Nicolau-Juliá
- Ming Tang
- Zhengjun Wan
- Huchang Liao
- Fereshteh Didegah
In Statistics and Probability
- Enrique Herrera-Viedma
- Manuel Expósito-Langa
- J. Tomás-Miquel
- Débora Nicolau-Juliá
- Ming Tang
- Zhengjun Wan
- Ali Gazni
- Huchang Liao
Citations in the corpus
- Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview (2018, background): “Furthermore, international co-authored articles normally have a good performance in terms of numbers and citations [51,52].”
- The influence of relationship networks on academic performance in higher education: a comparative study between students of a creative and a non-creative discipline (2016, methodology): “2003) or research networks (Leydesdorff and Wagner 2008; Kronegger et al. 2011), they have not been used to date to represent student networks, although recent literature has suggested their suitability for being applied in these contexts (Biancani and McFarland 2013: 185).”
- Mapping world scientific collaboration: Authors, institutions, and countries (2012, background): “However, the collaboration network particularly favors certain ―core‖ countries, as identified in many studies (Leydesdorff & Wagner, 2008; Schubert & Sooyramoorthy, 2010).”