Scientometric Analysis of Scheduling in Renewable Energy: A Keyword and Citation Analysis

The aim of this paper is the scientometric analysis of articles on “scheduling in renewable energy” that have been published between 2000 and 2017. For this purpose, the terms “scheduling in renewable energy” and “unit commitment in renewable energy” have been searched. We have found 1009 articles in the Scopus database which include the terms mentioned above. VOSviewer and CiteSpace, as two well-known the scientometric analysis tools, have been used. Keywords analysis and citation analysis are two analysis methods that have been used in this paper. China and the US are two countries with a high contribution to this topic among other countries. Two methods of counting, including full counting and fractional counting, have been applied. Citation analysis based on countries, document, source, author, and organization have been addressed, and results have been presented. Co-authorship and co-citation analysis also have been shown. IEEE Transactions journals have the most activity in published articles on the topic, while Energy and Engineering are two subjects with the most documents. The remaining part of the paper has focused on citation analysis and co-citation analysis based on authors, documents, sources, countries, organizations, and references.