Depth and breadth relevance in citation metrics
提出引文指标的“广度相关性”概念，与已有的“深度相关性”形成对比，并利用经济学家引文数据发现简单计数引文与同行评议排名相关性最高，但深度相关性可能解释低排名院系的科研人员分布。
Abstract The Euclidean length of a citation list is “depth relevant”: the metric increases when citations are transferred from less to more cited papers. We introduce “breadth relevance,” which favors consistent achievers over one‐hit wonders. The exponent of the CES aggregator then is less than unity rather than greater than unity, as for depth relevance. Using two datasets on citations of economists for the top 50 US and global universities, simply counting citations maximizes the correlation between the citation metrics of researchers and the peer‐reviewed rank of their department. However, citation depth may explain the allocation of researchers across lower‐ranked departments.