Systematic Literature Review With Bibliometric Analysis on Markov Switching Model

Methods and Applications

Bibliographic Data

ID16913804
AuthorsSeuk Wai Phoong (0000-0002-9925-0901, Sultan Idris Education University, corresponding author), Seuk Yen Phoong (0000-0002-9978-9771, Sultan Idris Education University), Shi Ling Khek (0000-0003-4751-3658, Sultan Idris Education University)
Year2022
Volume12
Issue2
Publication date2022-04-01
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440221093062
OpenAlexW4293108562
LanguageEN
Citations received6
References cited70

This study involved a systematic literature review using bibliometric analysis to examine the evolution and current trends of Markov switching studies. The bibliometric analysis was used for the descriptive, intellectual, social, and conceptual network analyses, while systematic reviews were used to identify the application of the Markov switching model. A total of 449 articles were selected and extracted from the Web of Science (WoS) between 1992 and 2021. The publication trends, most influential countries and articles, leading journals, collaboration networks, research hotspots, research fronts, coupling networks, and application of the model in various disciplines were described. This study summarized the research agenda of the Markov switching field, which would be helpful for researchers and funding agencies

Bibliographic coupling · Bibliometrics · Citation · Data mining · Data science · Economics · Library science · Machine learning · Management science · Markov chain · Markov model · MEDLINE · Network analysis · Political science · Social media · Social network analysis · Systematic review · Web of science · World Wide Web · Computer Science · Engineering · Mathematics · Mental Health Research Topics

Tools

Open DOIOpen Access