Citation Analysis

Riesz Regression As Direct Density Ratio Estimation
Masahiro Kato
https://arxiv.org/abs/2511.04568

Citation mentions

Cited references

Sections

3,297

Words (approx)

References by Citation Intensity

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

#	Mentions	Breadth	Sec. Wtd	Share	Composite	Main %
1	8	5	14.0	0.083	1.000	100%
2	5	5	9.0	0.052	1.000	100%
3	6	5	8.0	0.062	0.941	83%
4	6	5	9.0	0.062	0.941	83%
5	6	3	9.0	0.062	0.941	83%
6	6	3	8.0	0.062	0.941	83%
7	5	2	9.0	0.052	0.874	100%
8	3	3	5.0	0.031	0.843	100%
9	4	2	7.0	0.042	0.811	100%
10	3	2	5.0	0.031	0.737	100%
11	3	2	5.0	0.031	0.737	100%
12	3	2	4.0	0.031	0.737	100%
13	2	2	3.0	0.021	0.644	100%
14	2	2	4.0	0.021	0.644	100%
15	2	2	4.0	0.021	0.644	100%
16	2	2	4.0	0.021	0.644	100%
17	2	2	4.0	0.021	0.644	100%
18	2	2	4.0	0.021	0.644	100%
19	3	1	6.0	0.031	0.585	100%
20	2	1	4.0	0.021	0.511	100%
21	1	1	1.0	0.010	0.406	100%
22	1	1	1.0	0.010	0.406	100%
23	1	1	1.0	0.010	0.406	100%
24	1	1	2.0	0.010	0.406	100%
25	1	1	2.0	0.010	0.406	100%
26	1	1	2.0	0.010	0.406	100%
27	1	1	2.0	0.010	0.406	100%
28	1	1	2.0	0.010	0.406	100%
29	1	1	2.0	0.010	0.406	100%
30	1	1	2.0	0.010	0.406	100%
31	1	1	2.0	0.010	0.406	100%
32	1	1	2.0	0.010	0.406	100%
33	1	1	2.0	0.010	0.406	100%
34	1	1	2.0	0.010	0.406	100%
35	1	1	2.0	0.010	0.406	100%
36	1	1	2.0	0.010	0.406	100%
37	1	1	2.0	0.010	0.406	100%
38	1	1	2.0	0.010	0.406	100%
39	1	1	2.0	0.010	0.406	100%
40	1	1	2.0	0.010	0.406	100%
41	1	1	2.0	0.010	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.