Insights on Cloud Computing: a bibliometric analysis

Abstract

The goal of the study is to assess the volume of research on Cloud Computing (CC) and, using bibliometric analysis, to discover study patterns, growth, and evolution in the Scopus database. This study's main goal is to undertake a thorough bibliometric analysis of works that concentrate on the use, identification, network structure, and conceptual framework of CC. With the aid of an electronic search, the most pertinent articles were located. The Scopus database served as the source for the studies that will be reviewed. Between 2009 and 2023, 1,361 articles were discovered and reduced to 1009 papers. With the aid of the R programming language and the VOSviewer software, each composition has been examined in terms of co-authorship, co-citation, conceptual structure, co-word occurrence, trend topics analysis, thematic map, topic dendrogram, three field plot diagram, and visualization analysis. The rise in researchers' multi-authored, interdisciplinary, and collaborative efforts likewise showed an annual growth rate of 18.28%. Overall, this study improved knowledge of the cloud computing phenomena and helped to evaluate a variety of statistics based on publications and citations. This study contributes to our understanding of the networks of collaboration among various scholars and institutions, as well as the advantages and disadvantages of working cross-disciplinarily, globally, or with corporate or industry institutions.