Looking Toward the Future of Mental Workload Research Through the Past: A Bibliometric Analysis of 1990-2020

摘要

This article aims to conduct a bibliometric analysis of mental workload from 1990 to 2020. Publication source, publication organization, authors, country, citation of articles, citation of country and organization were recorded and analyzed. Bibliometric maps of authorship, citation, co-citation and network of co-occurrence of keywords are drawn. 11,157 articles and 461,366 cited references were analyzed. The USA dominates the publications (4748, 42.56%) and citations (159434 times). George Mason University (36) is the most productive organization. Murai (59) is the most productive author. Ergonomics is the top journal with the most papers about mental workload. Hart and Staveland's paper (1988) is the most co-cited. The latest burst keyword analysis shows that "machine learning", "classification", "automation", "physiology" and "mental health" have and burst end time of 2020. As for researchers and practitioners, this paper suggests an analysis of integrated visualization based on the area of mental workload in human factors and ergonomics.