Bibliometric Analysis of Hybrid Cloud Computing

Abstract

Hybrid cloud computing has emerged as a critical technological paradigm that enables organizations to combine the flexibility of public cloud services with the control and security of private cloud infrastructures. This study aims to examine the intellectual development, research trends, collaboration patterns, and emerging themes in hybrid cloud computing literature using a bibliometric analysis approach. Data were collected from the Scopus database and analyzed using VOSviewer to identify publication trends, influential literature, author and country collaboration networks, and keyword co-occurrence patterns. The findings reveal that hybrid cloud computing research has expanded significantly, with major contributions focusing on computation offloading, cloud-edge integration, Internet of Things (IoT), resource management, task scheduling, and optimization algorithms. Citation analysis highlights those influential studies primarily address improving computational efficiency, reducing latency, and optimizing resource utilization in distributed cloud environments. The collaboration analysis demonstrates that countries such as China, India, and the United States play central roles in advancing hybrid cloud research, although global collaboration remains concentrated within specific research networks. Furthermore, keyword analysis indicates a transition from traditional cloud infrastructure studies toward advanced research areas involving artificial intelligence, edge computing, cybersecurity, energy efficiency, and green computing. This study provides valuable insights into the evolution of hybrid cloud computing research and identifies future opportunities for developing intelligent, secure, and sustainable cloud ecosystems.