Abstract

Bibliometric analysis is a statistical tool that can quantitatively measure and assess the research impact of a subject of interest. It focuses on identifying research strengths and weaknesses, assessing country contributions, and recognizing the impact of journals and top authors. Recently, a bibliometric analysis was applied to characterize the author’s affiliation, citation habits, and research collaborations. Petri net tool is evolving rapidly and gaining popularity in the research community. This paper displays a public picture of research in Petri nets in manufacturing systems sciences by utilizing and analyzing indicators of bibliometric analysis. The main objective is that these indicators present a public review, determining the most effective and influential research around this field. The analysis of the study is partitioned into key areas that related to journals, papers, keywords, authors, and nations or countries. Moreover, the study aims to be informative and identifying most researches in this field. However, some very influential issues may omit if they are not included in the Web of Science database. The outcomes of the study give a clear roadmap for research in this field in future.