Mapping the Evolving Landscape of Cloud Computing Research: A Bibliometric Analysis

Q4 Engineering 弹道学报 Pub Date : 2023-12-21 DOI:10.52783/dxjb.v35.115
Deepak Hajoary, Raju Narzary, Rinku Basumatary
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Abstract

This research paper presents an in-depth bibliometric analysis of cloud computing literature, aiming to uncover underlying patterns, assess citation levels, and identify key trends shaping this rapidly evolving field. The study employs robust bibliometric techniques, analyzing data collected from reputable academic databases, including Scopus. The methodology involves comprehensive data acquisition, preprocessing, analysis, and interpretation, using advanced tools like VOSviewer and Biblioshiny for visualization and statistical analysis.Our findings reveal significant growth in cloud computing research from 2019 to 2023, with a fluctuating yet ascending trajectory of scholarly output. Key contributors include China and India, underscoring their roles in advancing cloud computing research. The analysis of keyword frequency highlights 'cloud', 'data', 'computing', 'security', and 'block chain' as dominant themes, indicating a strong emphasis on data integrity, security, and emerging technologies in cloud computing.Sentiment analysis of research abstracts reveals a predominantly positive yet cautiously optimistic tone, reflecting the field's optimistic outlook towards advancements and potential applications, balanced by an awareness of inherent challenges. The study also delves into the impact of authors and organizations, identifying influential contributors and collaborative networks within the academic community.In conclusion, this paper provide a comprehensive overview of the cloud computing research landscape, offering valuable insights for researchers, policymakers, and industry leaders. It underscores the significance of cloud computing in modern society and highlights the need for continued exploration and innovation in this critical technology domain.
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绘制云计算研究的演变图景:文献计量分析
本研究论文对云计算文献进行了深入的文献计量分析,旨在揭示潜在的模式、评估引用水平并确定影响这一快速发展领域的主要趋势。研究采用了强大的文献计量学技术,分析了从 Scopus 等著名学术数据库收集的数据。研究方法包括全面的数据采集、预处理、分析和解释,并使用 VOSviewer 和 Biblioshiny 等先进工具进行可视化和统计分析。主要贡献者包括中国和印度,凸显了它们在推动云计算研究方面的作用。研究摘要的情感分析显示了一种积极但谨慎乐观的基调,反映了该领域对进步和潜在应用的乐观前景,同时也意识到了固有的挑战。总之,本文全面概述了云计算的研究现状,为研究人员、政策制定者和行业领导者提供了有价值的见解。本文强调了云计算在现代社会中的重要意义,并强调了在这一关键技术领域继续探索和创新的必要性。
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来源期刊
弹道学报
弹道学报 Engineering-Mechanical Engineering
CiteScore
0.90
自引率
0.00%
发文量
2632
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