论文标题
未来一代计算机系统中研究出版物中的文献计量模式和概念进化轨迹
Bibliometric Patterns and Concept Evolution Trajectories in research publications in Future Generation Computer Systems
论文作者
论文摘要
Elsevier出版的未来一代计算机系统(FGC)是一本著名的同行评审期刊,始于1984年。截至截至撰写本文的日期,该期刊已在其第137卷中。由于其出版质量和持续的学术标准,它已被主要的学术数据库(例如Web of Science,Scopus,doaj等)所索引。它现在被评为计算机科学领域的顶级期刊(一般)。在1984 - 2020年期间(37年)期间,本研究的漫长历史,学术声誉和声望的促进,试图对杂志的出版物进行基于文献学和文本分析。文献计量分析有助于确定出版和引用模式,作者身份和协作结构,已发表研究的资金模式,开放访问和高度指标影响,性别分布和可持续发展的连接等。文本综合路径分析有助于识别主题结构和主要概念进化轨迹。分析的结果表明,FGCS期刊是一本高质量的研究杂志,随着出版物,引用和排名,随着时间的流逝而增长。它在指定的主题区域中发表文章,其中包括云,网格,物联网,区块链等,作为主要主题。从云计算到多域网络的知识扩展是可见的,对服务功能链,分布式机器学习和边缘计算系统的差异是可见的。因此,本文对FGC的研究出版趋势介绍了非常有用且有用的见解。
Future Generation Computer Systems (FGCS), published by Elsevier, is a prestigious peer reviewed journal that started in 1984. As on date of writing this article, the journal is in its 137th volume. Owing to its publication quality and continued academic standards, it has been indexed by major academic databases such as Web of Science, Scopus, DOAJ etc. It is now ranked among the top journals in the area of Computer Science (General). Motivated by the long history, academic reputation and prestige of the journal, the present study attempts to do a bibliometric and text-based analysis of publications in the journal during the period of 1984-2020 (37 years). Bibliometric analysis helped to identify publishing and citation patterns, authorship and collaboration structure, funding patterns of the published research, open access and altmetric impact, gender distribution and SDG connections etc. The text-integrated path analysis helped in identifying the thematic structure and major concept evolution trajectories. The results of the analysis indicate that the FGCS journal is a high-quality research journal that has grown over time in terms of publications, citations and rankings. It publishes articles in specified thematic areas, with cloud, grid, IoT, Blockchain etc. found as the major themes addressed. Knowledge extension from cloud computing to multi-domain networks is witnessed and a divergence towards service function chains, distributed machine learning and edge computing systems is visible. The article thus presents very informative and useful insight about research publication trends in FGCS.