Bibliometric Analysis of Stress Recognition Models using VOSviewer

Abstract

Stress is one of the most significant issues in our society because it has been a serious reason for many health-related
problems and a giant loss for firms, offices, and universities. Regular high mental workloads and fast technological
development, which end up in constant modification and also the want for adaptation, build the matter a lot more serious at
the geographic point. This examination intends to investigate the extent of Stress Recognition Research with the help of a
bibliometric review. The Scopus database was utilized to acquire data about Stress Recognition. Subject names with keywords
titles, abstracts in human Stress Recognition studies were used as a kind of perspective for retrieval of the search results.
Search result extraction was utilizing the VOSviewer software. Later, the outcomes of bibliometric mapping were investigated
further. A sum of 500 research articles was found in the Scopus information base got to in 2021. After examining we shortlisted
231 articles. There was a significant expansion in the number of publications on Stress recognition from 2019, 2020, and 2021.
Among all nations, the USA contributed the foremost publication. In the meantime, the watchwords Physiology, Machine
Learning, and Human ended up being the territory's most generally examined. Through VOS Viewer we tend to analyze what
numbers of articles are published regarding Stress Recognition and its relationships to a subject area. This review actually will
give a reference for more analysis associated with the Stress Recognition happening