A multimetric clustering approach for unbiased categorization of computer science journals: the framework proposed
Purpose The rank of a journal is usually quantified by a single metric like Impact Factor (IF), CiteScore or SCImago Journal Rank (SJR). To avoid bias due to the use of a single metric, a multimetric-based data-centric unsupervised machine learning framework is proposed for journal categorization. Design/methodology/ap...