Digital Tools for Visualizing the Knowledge Area of Renewable Energy Through Bibliometric Analysis
Abstract
The purpose of this study is to conduct a bibliometric analysis of the literature on Renewable energy based on the Web of Science collection. The study included references to works on this topic published from 2005 to 2021, since it was from 2005 that there was a significant increase in the number of studies. In total, about 4 000 of the most cited sources were analyzed. With the help of Web of Science analytics, the authors draw conclusions about the stages of studying this topic, as well as about the types of articles. CiteSpace software was used for further bibliometric analysis. As the analysis result, the thematic categories of articles were analyzed, as well as the key clusters into which all the works under study are divided were identified. The most productive institutions researching renewable energy sources are The National Renewable Energy Laboratory, The Chinese Academy of Sciences, and Stanford University. Based on the citation analysis of works, the leading author in this field is Yi Cui, and the most citable journal is Science. It was revealed that the consideration of the authors' works, which are a "link" between several groups of scientists, is of interest. The authors also identified the most commonly used keywords, which are: (1) performance, (2) renewable energy, (3) system, (4) energy, (5) biomass. As a result, all keywords were divided into clusters in the CiteSpace software. China and England are the countries with the most significant cooperation in this field of study. Conducting such an analysis gives a level of prior studies of this topic, and helps to choose the most important, interesting and competent works for further study.