Bibliometric analysis is of great importance for the scientific field and can be applied to any field, such as complex adaptive systems, called one of the multidisciplinary theories applied to understand different phenomena and build models for decision making. The objective of this article aims to perform a bibliometric analysis to describe, evaluate and monitor statistical data on the scientific evolution of complex adaptive systems from modeling. The methodology is quantitative, as a tool is the SCOPUS database structuring a search equation obtaining 301 results that were analyzed estimating the amount of publications, research methods, emerging and decreasing topics. Among the results found, it can be evidenced that it is a topic that is growing with a high interest for the scientific community where it has had a greater application in the simulation of information technologies, health, water resources and the supply chain.