A bibliometric analysis of inverse optimization

This paper presents an overview of inverse optimization through a bibliometric approach. The goal of this study was to discover research trends and knowledge growth in the field of inverse optimization. We collected the most cited articles and documents related to the topic in the SCOPUS database. We analyzed and conducted bibliometric analyses, such as citation analysis, publication counts, and co-occurrence analysis on top articles, authors, countries, institutions, and journals, using the VOSviewer software. The results of our analyses are presented as comprehensive network maps, in which we can identify the previous and current publication trends as well as forecast future publishing trends, in the context of inverse optimization.