Several studies have empirically explored biometric voting using the IoT to
transfer votes to the central system. There aren't many bibliometric studies that
categorize the output in this area, though. By keeping an eye on the papers posted on
the Scopus platform, this study’s goal is to present a research bibliometric analysis of
biometric voting utilizing IoT to transfer votes to a central system, classifying trends,
the state of the art, and other indications. 267 different materials made up the sample.
Using the VOS viewer program, the data was processed and the outcomes graphically
represented. According to a study, that examined publications’ simultaneous
occurrence by year, trends of keyword, co-citations, coupling bibliographic, and coauthorship analysis, institutions, and countries, the body of knowledge on biometric
voting that uses the Internet of Things to transfer votes to a central system is expanding
quickly. More than 530 citations were found in just eight works. However, there are
other industrious writers. The most significant of the 267 sources used in the review
were published in 26.066 percent of the papers. China is the world's leader in this field.
This study offers knowledge about the current state of the art and indicates research
opportunities and gaps in IoT-based biometric voting.
Keywords: Blockchain, Bibliometric, Centralised system, IoT, Vos viewer.
