2019/04/30 by László Csató · 14 citations
Chemistry · Computer Science · Decision Sciences · Economics, Econometrics and Finance · Physics and Astronomy · #Axiom #Axiomatic system #Citation #Complex Network Analysis Techniques #Dilemma #Graph #History and advancements in chemistry #Impossibility #Monotonic function #Ranking (information retrieval) #cs.DL #cs.GT #econ.TH #msc:91A80 #msc:91B14 #scientometrics and bibliometrics research
paper · pdf · doi:10.1016/j.joi.2019.100975
published in Journal of Informetrics 13(4), 100975 (Elsevier BV) · 10 pages, 2 figures
arxiv created 2019/09/02 · openalex publication_date 2019/09/17 · openalex created_date 2019/09/26 · arxiv updated 2020/05/28 · openalex updated_date 2026/08/05
Journal ranking is becoming more important in assessing the quality of academic research. Several indices have been suggested for this purpose, typically on the basis of a citation graph between the journals. We follow an axiomatic approach and find an impossibility theorem: any self-consistent ranking method, which satisfies a natural monotonicity property, should depend on the level of aggregation. Our result presents a trade-off between two axiomatic properties and reveals a dilemma of aggregation.