Abstract
A positive influence of international collaboration on the impact of research has been extensively described. This paper delves further into this issue and studies to what extent the type of collaborating country—high, medium or low R&D intensive country—and which country is the leader in the research may influence the impact of the final scientific output. Among 9,961 papers co-authored by scientists from Spain and from another country (bilateral collaboration) during 2008–2009, papers with high R&D intensive countries predominated (60 %) and received the highest number of citations. This holds true in eight out of nine fields, being Social Sciences the one which benefited the most from partnerships with high R&D intensive countries. Mathematics emerges as a special case where other factors such as the partner’s specialisation in the field may have a greater influence on research impact than the level of investment in R&D of the collaborating country. No significant influence of the type of country leading the research on the impact of the final papers is observed in most fields. Research policy implications are finally discussed.
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Notes
a) High R&D countries: Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Israel, Japan, Luxembourg, Netherlands, Norway, Singapore, Slovenia, South Korea, Sweden, Switzerland, United Kingdom, United States of America.
b) Low R&D countries: Ethiopia, Greece, Guatemala, Hungary, India, Iran, Jordan, Kuwait, Latvia, Lithuania, Malaysia, Mexico, Moldova, Morocco, Mozambique, Pakistan, Panama, Paraguay, Philippines, Poland, Romania, Russia, Saudi Arabia, Senegal, Serbia, Slovakia, South Africa, Tanzania, Thailand, Trinidad & Tobago, Tunisia, Turkey, Ukraine, Uruguay, Zambia.
c) Similar to Spain countries: China, Czech Republic, Estonia, Ireland, Italy, New Zealand, Portugal.
Note: only countries included in the Spanish publications are shown.
Agriculture, Biology and Environment (AGRI); Biomedicine (BIOM); Chemistry (CHEM); Clinical Medicine (CLIN); Engineering/Technology (ENGI); Humanities (HUMA); Mathematics (MATH); Multidisciplinary (MULT); Physics (PHYS) and Social Sciences (SOCI).
Kruskal–Wallis test for non-parametric distributions.
Mann–Whitney test for non-parametric distributions.
Kruskal–Wallis test for non-parametric distributions.
Since we observed that: (a) apart from the author with two addresses (one in Spain and a second one in other country) there was at least one co-author with a Spanish affiliation and one co-author with a foreign affiliation in a given paper; or (b) Spanish and foreign authors’ names coexisted in a given paper.
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Acknowledgments
Financial support from the Spanish National R&D Plan (Research project CSO2008-06310) is acknowledged. We are very grateful to Isabel Gómez, for her comments on a previous version of this paper and to Laura Barrios and José Manuel Rojo for their statistical advice. The comments of two anonymous referees which contribute significantly to improve the content of the paper are also acknowledged.
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Bordons, M., González-Albo, B., Aparicio, J. et al. The influence of R&D intensity of countries on the impact of international collaborative research: evidence from Spain. Scientometrics 102, 1385–1400 (2015). https://doi.org/10.1007/s11192-014-1491-4
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DOI: https://doi.org/10.1007/s11192-014-1491-4