Research on the topic of Comprehensive Assessment has been widely conducted; however, studies that map the trends and developments of this topic within research databases remain limited. This study aims to map research trends on Comprehensive Assessment available in the Dimensions AI database and identify underexplored topics that could serve as references for future research. The method used in this study is the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), supported by the VOSviewer tool for data visualization and searches through the Dimensions AI database. The analysis was conducted using a bibliometric approach to map research trends and performance in specific subjects. The results of the study indicate a significant increase in the number of publications on Comprehensive Assessment. These findings highlight a growing trend in research on Comprehensive Assessment and identify several underexplored topics or keywords, such as educators, higher education, effectiveness, applications, employment, and other factors. These topics hold great potential to contribute new insights if further developed in future studies related to Comprehensive Assessment