Citation Analysis

Minimum Sliced Distance Estimation in a Class of Nonregular Econometric Models
Yanqin Fan, Hyeonseok Park
https://arxiv.org/abs/2412.05621

115

Citation mentions

Cited references

Sections

5,058

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			19	4	31.0	0.165	1.000	100%
2			33	3	60.0	0.287	1.000	100%
3			13	3	26.0	0.113	1.000	100%
4			5	2	7.0	0.043	0.874	100%
5			5	2	7.0	0.043	0.874	100%
6			6	2	9.0	0.052	0.874	100%
7			4	2	8.0	0.035	0.811	100%
8			5	1	5.0	0.043	0.693	100%
9			2	2	4.0	0.017	0.644	100%
10			2	2	4.0	0.017	0.644	100%
11			2	2	4.0	0.017	0.644	100%
12			2	1	2.0	0.017	0.511	100%
13			1	1	1.0	0.009	0.406	100%
14			1	1	1.0	0.009	0.406	100%
15			1	1	2.0	0.009	0.406	100%
16			1	1	2.0	0.009	0.406	100%
17			1	1	2.0	0.009	0.406	100%
18			1	1	2.0	0.009	0.406	100%
19			1	1	2.0	0.009	0.406	100%
20			1	1	2.0	0.009	0.406	100%
21			1	1	2.0	0.009	0.406	100%
22			1	1	2.0	0.009	0.406	100%
23			1	1	2.0	0.009	0.406	100%
24			1	1	2.0	0.009	0.406	100%
25			1	1	2.0	0.009	0.406	100%
26	Sergey Bobkov and Michel Ledoux. \newblock One-Dim...	1259	1	1	2.0	0.009	0.406	100%
27			1	1	2.0	0.009	0.406	100%
28			1	1	2.0	0.009	0.406	100%
29			1	1	1.0	0.009	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.