An increasing number of articles are published in the field of optimization research, and response surface methodology is an interesting optimization tool. As a result, the main goal of this work is to conduct a bibliometric analysis on the distribution of response surface methodology-related articles across the different domains of optimization research, as well as to track the evolution of their interest and identify the nations, publishers, and authors producing the greatest volume of scholarly works. For this investigation, the “LENS” database system was used since it covers a huge number of documents and simplifies the process of downloading and analyzing datasets. VOSviewer and the text mining program Orange Canvas were used to analyze the dataset. The survey indicates that the most prolific countries in this field of study are those in Europe. The most publications are found in iop conference series and materials, whereas the most citations are found in the journal of bioresource technology. Additionally, according to authors, the most used method for experimental optimization is response surface methodology, or RSM. Despite having several benefits over the traditional one parameter at a time strategy, RSM is not appropriate for every modeling and optimization study.