An Overview of Bibliometric Indices and Keyword Classification in Shift Scheduling

Abstract

Bibliometric analysis is an important method for evaluating the impact and productivity of scholarly literature. Therefore, this research aims to conduct a bibliometric analysis and a visual analysis to analyze the previous publications about shift scheduling in Google Scholar. This study will use Publish and Perish (PoP) to retrieve all related publications from Google Scholar and then visualize the results in VOSviewer software. Initially, there are about 600 articles that are retrieved from Google Scholar, which were published in the years of 2018–2023. After the screening process, only 297 articles will proceed to categorize and visualize the related matrices in VOSviewer software. With help from VOSviewer, there are 11 keywords that successfully clustered in 3 categories which sort by using the cooccurrences of the terms in the 297 chosen publications. In addition to the occurrence of keywords used, popular journals, and publishers that have published articles related to shift scheduling were also investigated in this study. The result of this study can help researchers identify keywords, top journals, and publishers, which will assist in making decisions about research strategies and collaborations.