International Research Collaboration: Novelty, Conventionality, and Atypicality in Knowledge Recombination
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Abstract (arXiv)
Research articles produced through international collaboration are more highly cited than other work, but are they also more novel? Using measures developed by Uzzi et al. (2013), and replicated by Boyack and Klavans (2014), this article tests for novelty and conventionality in international research collaboration. Scholars have found that coauthored articles are more novel and have suggested that diverse groups have a greater chance of producing creative work. As such, we expected to find that international collaboration tends to produce more novel research. Using data from Web of Science and Scopus in 2005, we failed to show that international collaboration tends to produce more novel articles. In fact, international collaboration appears to produce less novel and more conventional knowledge combinations. Transaction costs and communication barriers to international collaboration may suppress novelty. Higher citations to international work may be explained by an audience effect, where more authors from more countries results in greater access to a larger citing community. The findings are consistent with explanations of growth in international collaboration that posit a social dynamic of preferential attachment based upon reputation.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Apr 2018.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 0; 2025: 1; 2026: 2.
8 papers.
- 2021Team Power Dynamics and Team Impact: New Perspectives on Scientific Collaboration using Career Age as a Proxy for Team Powercited by 5
- 2022Predicting article quality scores with machine learning: The UK Research Excellence Frameworkcited by 3
- 2023Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializerscited by 2
- 2025Mapping the Evolution of Research Contributions using KnoVocited by 2
- 2022Artificial intelligence technologies to support research assessment: A reviewcited by 1
- 2021Internationalizing AI: Evolution and Impact of Distance Factorscited by 0
- 2026Forecasting Conceptual Diffusion in Science: The Case of Quantum Computingcited by 0
- 2026Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entitiescited by 0
- 2026Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entities30 Jun 2026
- 2026Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing2 Jun 2026
- 2025Mapping the Evolution of Research Contributions using KnoVo20 Jun 2025
- 2023Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers11 Jul 2023
- 2022Artificial intelligence technologies to support research assessment: A review11 Dec 2022
- 2022Predicting article quality scores with machine learning: The UK Research Excellence Framework11 Dec 2022
- 2021Internationalizing AI: Evolution and Impact of Distance Factors10 Nov 2021
- 2021Team Power Dynamics and Team Impact: New Perspectives on Scientific Collaboration using Career Age as a Proxy for Team Power9 Aug 2021