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University rankings, despite facing criticism, continue to maintain theirpopularity. In the 2023 Scopus Ranking of Ukrainian Universities, certaininstitutions stood out due to their high h-index, despite modest publicationand citation numbers. This phenomenon can be attributed to influential researchtopics or involvement in international collaborative research. However, theseresults may also be due to the authors' own efforts to increase the number ofcitations of their publications in order to improve their h-index. Toinvestigate this, the publications from the top 30 universities in the rankingwere analysed, revealing humpback rank-citation curves for two universities.These humpbacks indicate unusual trends in the citation data, especiallyconsidering the high percentage of self-citations and FWCI of analysed papers.While quantitative analysis has limitations, the combination of humpedrank-citation curves, self-citations, FWCI, and previous research findingsraises concerns about the possible causes of these anomalies in the citationdata of the analysed universities. The method presented in this paper can aidranking compilers and citation databases managers in identifying potentialinstances of citation data anomalies, emphasizing the importance of expertassessment for accurate conclusions.

Visualization of rank-citation curves for fast detection of h-index anomalies in university metrics