Citation Analysis

\MakeUppercaseWhy Do the Elderly Save? Using Health Shocks to Uncover Bequests Motives
Tetsuya Kaji, Elena Manresa
https://arxiv.org/abs/2511.13275

Citation mentions

Cited references

Sections

6,058

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	Kaji, Tetsuya and Manresa, Elena and Pouliot, Guil... (self)	2023	12	9	20.0	0.279	0.971	92%
2	De Nardi, Mariacristina and French, Eric and Jones...	2010	8	5	10.0	0.186	0.957	88%
3	De Nardi, Mariacristina and French, Eric and Jones...	2025	3	3	4.0	0.070	0.843	100%
4			2	2	3.0	0.047	0.644	100%
5	Kopczuk, Wojciech and Lupton, Joseph P	2007	2	2	3.0	0.047	0.644	100%
6	Lockwood, Lee M	2018	2	2	3.0	0.047	0.644	100%
7	Ameriks, John and Briggs, Joseph and Caplin, Andre...	2020	2	2	3.0	0.047	0.644	100%
8	Arjovsky, Martin and Bottou, Le	2017	2	1	4.0	0.047	0.511	100%
9	Kopecky, Karen A and Koreshkova, Tatyana	2010	1	1	2.0	0.023	0.406	100%
10	Gourie	1993	1	1	2.0	0.023	0.406	100%
11	Newey, Whitney K and Smith, Richard J	2004	1	1	2.0	0.023	0.406	100%
12	Cunha, Flavio and Heckman, James J and Schennach, ...	2010	1	1	2.0	0.023	0.406	100%
13	Honore	2017	1	1	2.0	0.023	0.406	100%
14	Goodfellow, Ian and Pouget-Abadie, Jean and Mirza,...	2014	1	1	2.0	0.023	0.406	100%
15	Nesterov, Yu	1983	1	1	2.0	0.023	0.406	100%
16	Riedmiller, Martin and Braun, Heinrich	1993	1	1	2.0	0.023	0.406	100%
17			1	1	2.0	0.023	0.406	100%
18	Bishop, Christopher M.	2006	1	1	2.0	0.023	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.