This study provides an in-depth bibliometric analysis of research on sustainable data centres, using the Scopus database and VOSviewer software. The objective is to identify the key research trends, leading publications, patterns and emerging themes in the field. This research examines a dataset of 238 documents from Scopus spanning from 2008 to August 2025. VOSviewer is used for data visualisation and analysis of keyword co-occurrences and citation relationships. This study reveals a growing interest in sustainable data centres, particularly regarding their environmental impact. Key findings include the identification of six distinct thematic clusters derived from keyword co-occurrence analysis and the delineation of influential sources, authors, and countries through bibliographic coupling analysis. Notably, China, India and the United States emerged as significant contributors and the journal “IEEE Transactions on Sustainable Computing” was identified as a leading publication. The analysis underscores the importance of exploring topics such as energy efficiency, environmental sustainability, and green computing. This study provides valuable insights into the evolution of sustainable data centres, identifies areas requiring further exploration, and establishes a robust foundation for subsequent interdisciplinary research. It emphasises the need for longitudinal research to determine the long-term impact of data centres on energy management, AI-based optimisations, and green computing, which can provide insights for fellow researchers, policymakers, and practitioners.

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Sustainable Data Centres: A Bibliometric Analysis of Research Trends, Patterns, and Future Directions

  • M Sharmila Manavala Gurusamy,
  • Shamsiah Banu Mohamad Hanefar,
  • Marini Othman,
  • Wael Jabbar Abed Al-nidawi,
  • Hidayah Sulaiman

摘要

This study provides an in-depth bibliometric analysis of research on sustainable data centres, using the Scopus database and VOSviewer software. The objective is to identify the key research trends, leading publications, patterns and emerging themes in the field. This research examines a dataset of 238 documents from Scopus spanning from 2008 to August 2025. VOSviewer is used for data visualisation and analysis of keyword co-occurrences and citation relationships. This study reveals a growing interest in sustainable data centres, particularly regarding their environmental impact. Key findings include the identification of six distinct thematic clusters derived from keyword co-occurrence analysis and the delineation of influential sources, authors, and countries through bibliographic coupling analysis. Notably, China, India and the United States emerged as significant contributors and the journal “IEEE Transactions on Sustainable Computing” was identified as a leading publication. The analysis underscores the importance of exploring topics such as energy efficiency, environmental sustainability, and green computing. This study provides valuable insights into the evolution of sustainable data centres, identifies areas requiring further exploration, and establishes a robust foundation for subsequent interdisciplinary research. It emphasises the need for longitudinal research to determine the long-term impact of data centres on energy management, AI-based optimisations, and green computing, which can provide insights for fellow researchers, policymakers, and practitioners.