TITLE:
Bibliometric Analysis of Credit Risk Based on the Web of Science (WOS)
AUTHORS:
Jian Xue, Yixue Fan
KEYWORDS:
Credit Risk, Bibliometric Study, COOC Analysis, Visualization Analysis
JOURNAL NAME:
American Journal of Industrial and Business Management,
Vol.13 No.9,
September
14,
2023
ABSTRACT: To clarify the evolution of credit risk research,
the article searches the literature data on credit risk research from 2007 to
2022 through the Web of Science (WOS) database and adopts the scientometric
method to analyze the number of publications, the distribution of
countries/regions in the field of credit risk research with the help of Co-Occurrence
(Cooc) metrology software, respectively, distribution of important journals,
and analysis of highly cited literature, which elaborates the current status
and research hotspots of credit risk
research; secondly, we analyze the distribution pattern and evolution trend by
drawing the relevant knowledge maps of keyword co-occurrence network,
keyword clustering analysis, author-keyword clustering, and research hotspots.
It aims to summarize the achievements and shortcomings of the existing
literature, clarify the future research direction, and promote the development
of corporate credit research.