Citation Analysis

\Large\textbfNonlinearity in Dynamic Causal Effects: Making the Bad into the Good, and the Good into the Great?
Toru Kitagawa, Weining Wang, Mengshan Xu
https://arxiv.org/abs/2504.01140

Citation mentions

Cited references

Sections

5,627

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			2	2	4.0	0.100	0.644	100%
2	Casini, Alessandro and McCloskey, Adam	2024	2	2	4.0	0.100	0.644	100%
3	Bojinov, Iavor and Shephard, Neil	2019	2	2	4.0	0.100	0.644	100%
4	Imbens, Guido W and Angrist, Joshua D	1994	1	1	2.0	0.050	0.406	100%
5	Angrist, Joshua	1998	1	1	2.0	0.050	0.406	100%
6	De Chaisemartin, Cle	2020	1	1	2.0	0.050	0.406	100%
7	Bonsoo Koo and Seojeong Lee and Myunghwan Seo	2023	1	1	2.0	0.050	0.406	100%
8	Chen, Jiafeng	2024	1	1	2.0	0.050	0.406	100%
9	Richard K. Crump and V. Joseph Hotz and Guido W. I...	2009	1	1	2.0	0.050	0.406	100%
10	Angrist, Joshua D and Jorda	2018	1	1	2.0	0.050	0.406	100%
11	Kitagawa, Toru and Wang, Weining and Xu, Mengshan (self)	2024	1	1	2.0	0.050	0.406	100%
12	Rudin, Walter	1987	4	1	2.0	0.200	0.139	0%
13	Billingsley, Patrick	1995	2	1	1.0	0.100	0.110	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.