期刊
JOURNAL OF CORPORATE FINANCE
卷 66, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jcorpfin.2020.101572
关键词
Journal of Corporate Finance; Scientometrics; Text mining; Scopus; Citations
The study utilizes scientometrics and network analysis techniques to analyze the impact, prominent topics, authors and their affiliated institutions and countries of the Journal of Corporate Finance. By studying bibliographic couplings, co-citations and co-occurrences, the research depicts the characteristics of JCF, and presents the major content using word clouds.
The Journal of Corporate Finance (JCF) is a highly regarded academic journal specializing in corporate finance. The journal celebrated its silver jubilee year in 2018. We use scientometrics to analyze the journal's impact, prominent topics, most frequent authors, and their affiliated institutions and countries. Using network analysis, we group JCF publications into nine main clusters. Our study depicts the bibliographic couplings of authors and their affiliated institutions and countries, co-citations of journals, and co-occurrences of the authors' specified keywords. Using text mining techniques, we also present the major content of JCF titles, keywords, or abstracts in the form of word clouds.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据