Modeling SCOPUS Trend of Decision Support Systems in Energy: A Bibliometric Analysis

Abstract

The purpose of this article is to provide a bibliometric analysis from SCOPUS database for identifying the current trending of decision support system (DSS) research on energy . The search resulted in 1458 documents that had been published in field computer science, 569 documents in field engineering, 437 documents in field mathematics, 223 documents in field decision sciences and 105 documents in field energy . The development of scientific research in the area of DSS in the context of energy is consistently growing since 2001 until recent year. It is of utmost necessity to identify the potential areas as well as the severity of this research. Thus, the aim of this study is to model the research trend on DSS for energy by conducting bibliometric analysis in Scopus database. The analysis was performed by using the VOSviewer software and data analysis tool available in the Scopus base. A total of 1458 publications in relation to DSS related energy, were extracted from Scopus database ranging from 2001 to 2021 for further modeling. Co-citation analysis and co-word analysis were conducted to model the evolution of research themes in this field. The findings of this study may help researchers understand the nature of DSS research related to energy from across the world and suggest future research directions.