Citation Analysis

Causal Interpretation of Regressions With Ranks
Lihua Lei
https://arxiv.org/abs/2406.05548

Citation mentions

Cited references

Sections

5,315

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	3	11.0	0.107	1.000	100%
2	4	3	6.0	0.053	0.928	100%
3	6	2	10.0	0.080	0.874	100%
4	3	3	5.0	0.040	0.843	100%
5	3	3	5.0	0.040	0.843	100%
6	4	2	6.0	0.053	0.811	100%
7	3	3	3.5	0.040	0.737	67%
8	2	2	3.0	0.027	0.644	100%
9	2	2	3.0	0.027	0.644	100%
10	2	2	3.0	0.027	0.644	100%
11	2	2	3.0	0.027	0.644	100%
12	3	1	3.0	0.040	0.585	100%
13	2	1	2.0	0.027	0.511	100%
14	2	1	2.0	0.027	0.511	100%
15	2	1	2.0	0.027	0.511	100%
16	2	1	2.0	0.027	0.511	100%
17	2	1	4.0	0.027	0.511	100%
18	2	1	4.0	0.027	0.511	100%
19	1	1	1.0	0.013	0.406	100%
20	1	1	1.0	0.013	0.406	100%
21	1	1	1.0	0.013	0.406	100%
22	1	1	1.0	0.013	0.406	100%
23	1	1	1.0	0.013	0.406	100%
24	1	1	1.0	0.013	0.406	100%
25	1	1	1.0	0.013	0.406	100%
26	1	1	1.0	0.013	0.406	100%
27	1	1	2.0	0.013	0.406	100%
28	1	1	2.0	0.013	0.406	100%
29	1	1	2.0	0.013	0.406	100%
30	1	1	2.0	0.013	0.406	100%
31	1	1	2.0	0.013	0.406	100%
32	1	1	2.0	0.013	0.406	100%
33	1	1	2.0	0.013	0.406	100%
34	1	1	2.0	0.013	0.406	100%
35	1	1	2.0	0.013	0.406	100%
36	1	1	2.0	0.013	0.406	100%
37	1	1	2.0	0.013	0.406	100%
38	1	1	2.0	0.013	0.406	100%
39	1	1	2.0	0.013	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.