<![CDATA[Heart disease detection is crucial for timely intervention and management to prevent adverse outcomes. This study uses bibliometric analysis with the tools VOSviewer and Publish or Perish, leveraging data from Google Scholar to explore research trends in heart disease detection. Bibliometric mapping, a valuable method for visualizing and analyzing research trends, collaboration, and knowledge structures across various fields, is used to gain insights into the research landscape of heart disease detection. VOSviewer, a widely used software tool, helps build and visualize bibliometric networks by analyzing co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation data. This study aims to present detailed and systematic steps in the bibliometric data analysis related to heart disease detection research using VOSviewer, with the goal of observing the development of this research from 2019 to 2024. The two clusters identified are as follows: Cluster 1, colored red, consists of 3 words: hypertension, coronary, coronary heart disease. Cluster 2, colored green, consists of 2 words: heart disease, hypertension. Using bibliometric analysis, researchers identify influential sources, research themes, and key contributors in this field. By systematically analyzing publications and identifying major research areas, this study contributes to advancing knowledge in heart disease detection. These findings highlight the effectiveness of VOSviewer in mapping bibliometric data and its utility in providing comprehensive insights into scientific communication and collaboration in this important research area.]]>
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