Citation Analysis

Common Functional Decompositions Can Mis-attribute Differences in Outcomes Between Populations
Manuel Quintero, William T. Stephenson, Advik Shreekumar, Tamara Broderick
https://arxiv.org/abs/2504.16864
43
Citation mentions
32
Cited references
12
Sections
6,653
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 4 3 7.0 0.093 0.928 100%
2 3 3 5.0 0.070 0.843 100%
3 3 3 5.0 0.070 0.843 100%
4 1 1 1.0 0.023 0.406 100%
5 1 1 1.0 0.023 0.406 100%
6 1 1 1.0 0.023 0.406 100%
7 1 1 1.0 0.023 0.406 100%
8 1 1 1.0 0.023 0.406 100%
9 1 1 1.0 0.023 0.406 100%
10 1 1 1.0 0.023 0.406 100%
11 1 1 1.0 0.023 0.406 100%
12 1 1 1.0 0.023 0.406 100%
13 1 1 1.0 0.023 0.406 100%
14 1 1 1.0 0.023 0.406 100%
15 1 1 1.0 0.023 0.406 100%
16 1 1 1.0 0.023 0.406 100%
17 1 1 1.0 0.023 0.406 100%
18 1 1 1.0 0.023 0.406 100%
19 1 1 1.0 0.023 0.406 100%
20 1 1 1.0 0.023 0.406 100%
21 1 1 2.0 0.023 0.406 100%
22 1 1 2.0 0.023 0.406 100%
23 2 2 1.0 0.047 0.139 0%
24 2 2 1.0 0.047 0.139 0%
25 3 1 1.5 0.070 0.126 0%
26 1 1 1.0 0.023 0.087 0%
27 1 1 0.5 0.023 0.087 0%
28 1 1 0.5 0.023 0.087 0%
29 1 1 0.5 0.023 0.087 0%
30 1 1 0.5 0.023 0.087 0%
31 1 1 0.5 0.023 0.087 0%
32 1 1 0.5 0.023 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.