Highly productive research institutions produce higher impact research than less productive ones.
the verdict
CONTESTED
contested - the weight sits with the supporting side
refutedsupported
the weight of evidence
2 sources for · 0 against
The sources examine institutional assumptions regarding productivity and citation impact, showing that the relationship between collaboration, productivity, and scientific impact is complex rather than straightforwardly supportive.
Abstract The widely held assumption that international collaboration boosts scientific impact oversimplifies a more complex relationship. This study examines how different levels of international collaboration affect the citation impact of the most productive countries and research fields, based on Scopus data from 1996 to 2017. Both field-normalized and non-normalized citation metrics are employed. While international collaboration and scientific impact are highly correlated under standard linear regression, such models fail to capture the skewed and heteroskedastic nature of citation distributions. To address this limitation, we apply pooled quantile regression with panel data covering 23 countries. Three key findings emerge: (i) Higher levels of international collaboration are generally associated with increased citation impact across quantiles. However, this effect varies substantially across disciplines, even among highly productive fields such as Medicine, Physics, Engineering, and Computer Science, suggesting that field-specific citation practices, rather than collaboration per se, may drive the observed differences; (ii) When using field-normalized metrics, the increasing effect of collaboration across quantiles largely disappears; (iii) Significant regional disparities emerge when controlling for geography through dummy variables. These findings challenge the validity of one-size-fits-all collaboration policies and underscore the importance of tailoring science strategies to each country’s research capacity and disciplinary strengths. The study offers actionable insights for evidence-based science and innovation policymaking.
Institutions assume that if they are more productive (i.e., publish more papers), they will produce more high quality research. They also assume that if they collaborate more, they will be more productive. We test these causal assumptions using nearly 30 years of worldwide publication and citation data in Computer Science and Psychology. Four quality metrics, three collaboration metrics and one productivity metric were used. Spearman’s Rank Order non-parametric correlation shows that these three groups of variables are highly inter-correlated. Regression analysis was used to partial out the effect of the third variable and reveal the independent correlation between each pair of the variables. In Computer Science, the more productive institutions publish higher quality research as measured by citation counts (including citation counts recursively weighted by the citation counts of the citing institution); the effect is the same, but not as strong, in Psychology. Higher average paper quality in both Computer Science and Psychology are more likely to be a result of greater institutional collaboration than of higher institutional productivity. The proportion of the institutional collaboration is closely linked to institutional quality and productivity. The more proportionally collaborated institutions in fact are less qualitative as well as less productive
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