Evolving landscape of US-China science collaboration: Convergence and divergence
Kensei Kitajima, Keisuke Okamura

TL;DR
This study analyzes the US-China scientific collaboration over recent decades, revealing an initial rapid convergence followed by recent divergence, using bibliometric data to quantify these dynamics across disciplines.
Contribution
It provides the first quantitative analysis of US-China science collaboration dynamics over time and across disciplines, highlighting phases of convergence and divergence.
Findings
Initial rapid convergence in US-China collaboration
Recent divergence in collaboration patterns
Quantitative evidence of dynamic shifts over decades
Abstract
International research collaboration among global scientific powerhouses has exhibited a discernible trend towards convergence in recent decades. Notably, the US and China have significantly fortified their collaboration across diverse scientific disciplines, solidifying their status as a national-level duopoly in global scientific knowledge production. However, recent reports hint at a potential decline in collaboration between these two giants, even amidst the backdrop of advancing global convergence. Understanding the intricate interplay between cooperation and disparity within the US-China relationship is vital for both academia and policy leaders, as it provides invaluable insights into the potential future trajectory of global science collaboration. Despite its significance, there remains a noticeable dearth of quantitative evidence that adequately encapsulates the dynamism across…
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Taxonomy
Topicsscientometrics and bibliometrics research · Research Data Management Practices · Scientific Computing and Data Management
