“…The best-known ranking systems, Quacquarelli Symonds (QS) and Times Higher Education (THE) (Ciubotaru, 2022) are based on indicators of research reputation, the learning and teaching environment, citations, internationalization, and industry income (QS, 2021;. There is a wealth of research on modelling global university ranks using their performance indicator components (Agarwal & Tayal, 2022;Anahideh & Mohabbati-Kalejahi, 2022;De Luna Pamanes et al, 2020a;Kaycheng, 2015;Liu et al, 2022;Tabassum et al, 2017), or independent variables including financial, scientific, staff-related metrics, or past ranks (Cantwell & Taylor, 2013;Marconi & Ritzen, 2015;McAleer et al, 2019;Pride & Knoth, 2018) The existing applied techniques included a range of regression (Cantwell & Taylor, 2013;De Luna Pamanes et al, 2020a;Kaycheng, 2015;Liu et al, 2022;Marconi & Ritzen, 2015;McAleer et al, 2019) and machine-learning models (Agarwal & Tayal, 2022;De Luna Pamanes et al, 2020a;Liu et al, 2022;Popoola et al, 2018;Tabassum et al, 2017) Anumber of studies suggest that the performance indicators of THE ranking are highly correlated, and university ranks are mainly predicted by two factors: academic reputation and citations (De Luna Pamanes et al, 2020a;Kaycheng, 2015).…”