Concept drift has become a hot research topic with the increasing popularity of dynamic data. An extensive bibliometric analysis of concept drift is represented in this paper; which embraces the last four decades, namely from 1980 to 2020. Considering the scope and the discipline; the core collection of the Web of Science database is regarded as the resource of this study, and 1,468 publications related to concept drift are obtained. Through the classification of statistics and feature analysis of valid literature data, the bibliometric indicators are revealed such as; prolific countries, regions, institutions, authors. The analyses shed light on the research directions and highly authoritative publications. This paper aims to illustrate the bibliometric analysis method by using VOS viewer software and construct diverse informative graphs to designate the possible directions for more valuable further researches.