The most-cited articles in Data in Brief Journal: A bibliometric analysis using Scopus data

Bibliometric analysis is one of the research approaches that utilizes quantitative and mathematical data to address problems posed in the context of visualization to see patterns in the field of science. In fact, bibliometric analysis may also include a wider overview of the names of the most influential writers in the area of science. This data analysis would discuss the most-cited articles in Data in Brief Journal including the countries, authors. The data was collected on 31st May 2020 of Scopus database. The literature review was conducted using the keyword: ISSN (2352-3409). The bibliometric analysis is visualized utilizing the VosViewer software