Circular Economy and Artificial Intelligence: Insights from a Bibliometric Analysis

Abstract

This study presents a bibliometric analysis of the intersection between circular economy (CE) and artificial intelligence (AI), utilizing the Scopus data-base to explore research trends and performance metrics. Microsoft Excel and the "Analyze Results" feature in Scopus were employed for data visualization and analysis. Results reveal a steady increase in publications, with a significant surge post-2018, and the number of publications doubling since 2022, driven by global sustainability initiatives and advancements in AI. India leads in research output with 96 publications (48% single-country publications), followed by China and the UK. Sustainability Switzerland is the most prolific journal, contributing 33 articles (9.3%), while Seeram A. Ramakrishna emerges as the most influential author with 150,978 citations and five impactful publications. The field of study primarily focuses on environ-mental science and engineering, reflecting the practical applications of AI in optimizing CE processes. Preferred publication types include journals and book series, with Elsevier and Springer Nature as dominant publishers. De-spite moderate international collaboration, the study underscores the potential for enhanced partnerships to advance CE/AI integration. These findings provide valuable insights for researchers and policymakers aiming to maximize the societal and environmental benefits of this interdisciplinary field.

Keywords: Circular Economy, Artificial Intelligence, Bibliometric Analysis, Sustainable Development.