Citation Analysis

Bayesian semiparametric causal inference: Targeted doubly robust estimation of treatment effects
Gözde Sert, Abhishek Chakrabortty, Anirban Bhattacharya
https://arxiv.org/abs/2511.15904

115

Citation mentions

Cited references

Sections

8,453

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			12	4	21.0	0.104	1.000	100%
2			8	4	13.0	0.070	1.000	100%
3			7	3	12.0	0.061	1.000	100%
4			5	4	8.0	0.043	1.000	100%
5			18	4	35.0	0.157	1.000	100%
6			4	3	6.0	0.035	0.928	100%
7			4	3	8.0	0.035	0.928	100%
8			5	2	8.0	0.043	0.874	100%
9			3	3	5.0	0.026	0.843	100%
10			3	3	6.0	0.026	0.843	100%
11			3	2	4.0	0.026	0.737	100%
12			3	2	4.0	0.026	0.737	100%
13			3	2	6.0	0.026	0.737	100%
14			2	2	3.0	0.017	0.644	100%
15			2	2	3.0	0.017	0.644	100%
16			2	2	3.0	0.017	0.644	100%
17	Fan Li, Peng Ding, and Fabrizia Mealli. \newblock ...	2247	2	2	3.0	0.017	0.644	100%
18			2	2	3.0	0.017	0.644	100%
19			2	2	4.0	0.017	0.644	100%
20			2	2	4.0	0.017	0.644	100%
21			3	1	3.0	0.026	0.585	100%
22			3	1	6.0	0.026	0.585	100%
23			2	1	2.0	0.017	0.511	100%
24			1	1	1.0	0.009	0.406	100%
25			1	1	1.0	0.009	0.406	100%
26			1	1	1.0	0.009	0.406	100%
27			1	1	1.0	0.009	0.406	100%
28			1	1	1.0	0.009	0.406	100%
29			1	1	1.0	0.009	0.406	100%
30			1	1	2.0	0.009	0.406	100%
31			1	1	2.0	0.009	0.406	100%
32			1	1	2.0	0.009	0.406	100%
33			1	1	2.0	0.009	0.406	100%
34			1	1	2.0	0.009	0.406	100%
35			1	1	2.0	0.009	0.406	100%
36			1	1	2.0	0.009	0.406	100%
37			1	1	2.0	0.009	0.406	100%
38			1	1	2.0	0.009	0.406	100%

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.