Finance journal rankings: a paper affiliation methodology

Purpose In this paper, the authors use a new methodology, called paper affiliation index, to create finance journal ranking using expert judgment and research impact, both of which are based on secondary, objective measures, thus making it possible produce lists every year without human manipulation at virtually no cost. Design/methodology/approach Bibliometrics. Python implementation. Findings A with 65 journals. Research limitations/implications This procedure helps reduce bias deal known problems associated current methodologies. The data used in methodology comes from public sources; is therefore easily replicable. not subject-dependent can be transferred other realms knowledge. Once bibliometric institutional has been gathered, computationally costly: implementation algorithm executes whole computation few seconds. Results seem correct pernicious Matthew effect so evident citation-based methods. Originality/value classification created includes all institutions that have contributed papers field finance. sources, costly.