Introduction: Computational Experiments are crucial in various fields, including biological sciences, engineering, social sciences, etc., and are a powerful tool for understanding complex systems, optimizing processes, and driving innovation. Their importance lies in their ability to integrate with experimental methods, facilitate simulation-based learning, and provide cost-effective, scalable, and flexible solutions for analyzing complex systems. The purpose of this study is to make a bibliometric analysis of the research related to Computational Experiments in Computer Science. Methods: This bibliometric analysis was performed using information from 2013 and 2024 from the Scopus and Web of Science databases, with published articles This bibliometric study followed the guidelines proposed in the publication “How to conduct a bibliometric analysis: An overview and guidelines” by the author Gonthu N. To answer the research questions, the number of articles per year, number of articles per country, number of articles per subject area, list of main journals, and citation analysis were analyzed. Results: The results show that Scopus has more publications on the subject, China is the co
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