Comparative Analysis of Scientific Publications of Research Entities Using Multiple Disciplinary Classifications

Abstract

This study attempts a comparative disciplinary analysis of a Web of Science (WoS) recorded dataset (ca. 15,000 core journal articles and reviews) of real publications for 5-years period by the research departments, dedicated to science, technology, engineering, mathematics, and medicine (STEMM), of a comprehensive university using different disciplinary schemes: Essential Science Indicators (ESI) 22 research fields, SCOPUS 27 subject areas and OECD Frascati 38 subordinate research fields. It demonstrates that assigning the publications to departments and disciplines followed by correspondence analysis and clustering of the contingency table comprising disciplinary share of publications results in enhanced understanding and visualization of the research output at different levels of disciplinary or research entities. Such exercise improves creation of publication subsets (for different research entities and disciplinary schemes) for further processing, visualization and interpretation with sophisticated bibliometric/scientometric tools including the science mapping techniques.