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A Simple Paradigm for Augmenting the Euclidean Index to Reflect Journal Impact and Visibility
Author(s) -
Haley M. Ryan
Publication year - 2020
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.24224
Subject(s) - ranking (information retrieval) , metric (unit) , computer science , citation , promotion (chess) , visibility , journal ranking , citation impact , index (typography) , information retrieval , euclidean distance , preference , impact factor , operations research , euclidean geometry , data science , statistics , mathematics , library science , artificial intelligence , political science , world wide web , marketing , law , geography , business , geometry , politics , meteorology
This article offers an adjustment to the recently developed Euclidean Index (Perry and Reny, 2016). The proposed companion metric reflects the impact of the journal in which an article appears; the rationale for incorporating this information is to reflect higher costs of production and higher review standards, and to mitigate the heavily truncated citation counts that often arise in promotion, renewal, and tenure deliberations. Additionally, focusing jointly on citations and journal impact diversifies the assessment process, and can thereby help avoid misjudging scholars with modest citation counts in high‐level journals. A combination of both metrics is also proposed, which nests each as a special case. The approach is demonstrated using a generic journal ranking metric, but can be adapted to most any stated or revealed preference measure of journal impact.