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.

中文翻译：

---

引文指标中的深度和广度相关性

引文列表的欧几里得长度是“深度相关的”：当引文从较少引用的论文转移到较多引用的论文时，度量会增加。我们引入了“广度相关性”，它有利于一致的成功者而不是一击的奇迹。然后，就深度相关性而言，CES聚合器的指数小于1而不是大于1。使用两个关于美国和全球排名前 50 位大学的经济学家引用数据集，简单地计算引用可以最大限度地提高研究人员的引用指标与其部门同行评审排名之间的相关性。然而，引用深度可以解释研究人员在较低级别部门之间的分配。