Information Systems (IS) scholars attempted to explore the intellectual structure of the IS discipline from previous literature. However, the corpus data, analytical method, and sample size are significantly different among these review studies, which lead to rather mixed results. In this bibliometric review, the authors portray and visualize the panorama of the evolutionary process of IS research with two powerful bibliometric tools, including both CiteSpace and VOSviewer. Specifically, based on a series of bibliometric algorithms (e.g., SCI-Map and referene-NLP), the authors analyze 80,147 primary articles and 1,325,376 secondary articles in the IS domain to examine its 1) intellectual output mode, 2) knowledge bases, and 3) the popular and promising topics in the future from the evolutionary and clustering perspectives. By doing so, the authors provide a comprehensive navigation for the IS studies and set up an agenda for future research.

中文翻译：

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1975-2018 年信息系统研究的文献计量学回顾

信息系统（IS）学者试图从以前的文献中探索信息系统学科的知识结构。然而，这些综述性研究的语料库数据、分析方法和样本量存在显着差异，导致结果参差不齐。在这篇文献计量评论中，作者使用两个强大的文献计量工具（包括 CiteSpace 和 VOSviewer）描绘和可视化了 IS 研究的进化过程的全景。具体而言，作者基于一系列文献计量算法（例如，SCI-Map和referene-NLP），分析了IS领域的80,147篇原始文章和1,325,376篇次要文章，以检验其1）智力输出模式，2）知识库，以及3）从进化和聚类的角度来看，未来的热门和有前途的话题。通过这样做，