Citation Analysis

Efficiency of QMLE for dynamic panel data models with interactive effects
Jushan Bai
https://arxiv.org/abs/2312.07881

Citation mentions

Cited references

Sections

6,202

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			10	5	17.0	0.196	1.000	100%
2			4	3	5.5	0.078	0.928	100%
3			3	3	4.5	0.059	0.843	100%
4			4	2	8.0	0.078	0.811	100%
5			2	2	3.0	0.039	0.644	100%
6			2	2	3.0	0.039	0.644	100%
7			2	2	3.0	0.039	0.644	100%
8			2	2	3.0	0.039	0.644	100%
9			2	2	2.5	0.039	0.644	100%
10			2	2	2.5	0.039	0.644	100%
11			2	2	4.0	0.039	0.644	100%
12	Lam, C. and Q. Yao	2012	2	1	1.0	0.039	0.511	100%
13			1	1	1.0	0.020	0.406	100%
14			1	1	1.0	0.020	0.406	100%
15			1	1	1.0	0.020	0.406	100%
16			1	1	1.0	0.020	0.406	100%
17			1	1	1.0	0.020	0.406	100%
18			1	1	1.0	0.020	0.406	100%
19			1	1	1.0	0.020	0.406	100%
20			1	1	1.0	0.020	0.406	100%
21			1	1	2.0	0.020	0.406	100%
22			1	1	0.5	0.020	0.406	100%
23			1	1	0.5	0.020	0.406	100%
24	Shi, W. and Lee, L. F	2017	1	1	0.5	0.020	0.406	100%
25	Miao, K., PCB Phillips, and L. Su	2023	1	1	0.5	0.020	0.406	100%
26			1	1	2.0	0.020	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.