Citation Analysis

Robustifying Empirical Bayes
Roger Koenker, Jiaying Gu
https://arxiv.org/abs/2603.00704
54
Citation mentions
27
Cited references
8
Sections
2,779
Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

# Reference Year Mentions Breadth Sec. Wtd Share Composite Main %
1 7 3 13.0 0.130 1.000 100%
2 6 3 12.0 0.111 1.000 100%
3 8 5 13.5 0.148 0.957 88%
4 4 4 7.0 0.074 0.928 100%
5 2 2 3.0 0.037 0.644 100%
6 2 2 4.0 0.037 0.644 100%
7 3 1 6.0 0.056 0.585 100%
8 2 1 2.0 0.037 0.511 100%
9 2 1 4.0 0.037 0.511 100%
10 1 1 1.0 0.019 0.406 100%
11 1 1 1.0 0.019 0.406 100%
12 1 1 1.0 0.019 0.406 100%
13 1 1 1.0 0.019 0.406 100%
14 1 1 1.0 0.019 0.406 100%
15 1 1 1.0 0.019 0.406 100%
16 1 1 1.0 0.019 0.406 100%
17 1 1 1.0 0.019 0.406 100%
18 1 1 2.0 0.019 0.406 100%
19 1 1 2.0 0.019 0.406 100%
20 1 1 2.0 0.019 0.406 100%
21 1 1 2.0 0.019 0.406 100%
22 1 1 2.0 0.019 0.406 100%
23 1 1 2.0 0.019 0.406 100%
24 1 1 0.5 0.019 0.087 0%
25 1 1 0.5 0.019 0.087 0%
26 1 1 0.5 0.019 0.087 0%
27 1 1 0.5 0.019 0.087 0%
Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.