Statistical analysis of the 2021 university ranking of Shanghai by using the Scopus/SciVal databases Cover Image

A 2021. évi sanghaji egyetemi rangsor statisztikai vizsgálata a Scopus/SciVal adatbázisok segítségével
Statistical analysis of the 2021 university ranking of Shanghai by using the Scopus/SciVal databases

Author(s): Imre Dobos, Péter Sasvári
Subject(s): Social Sciences, Economy, Geography, Regional studies
Published by: Központi Statisztikai Hivatal
Keywords: ARWU university rankings; international scientific competitiveness; multivariate statistics

Summary/Abstract: ARWU (Academic Ranking of World Universities)is one of the three major university rating organisations, along with QS and THE. The latter two organisations compile their publication and citation data using the Scopus database, while the ARWU rankingis based on the Web of Science (WoS) database. The aim of this paper is to study whether the data from the Scopus and SciVal databases allow the estimation of rankings based on WoS. The paper also analyses, based on the selected variables, the country affiliation of the universities included in the ARWU ranking. Next, the authors analyse whether the variables selected from the Scopus/SciVal datasets may be used to define the next year's ranking. In order to complete this task, the authors estimate the ranking of 2021 using 2020 data. Finally, the group of 1,000 universities according to statistical variables are presented. The study is seeking to answer the question of how each cluster’s composition depends on the country where the universities belong.

  • Issue Year: 63/2023
  • Issue No: 02
  • Page Range: 157-178
  • Page Count: 22
  • Language: Hungarian