Citation Analysis

Empirical Crypto Asset Pricing
Adam Baybutt
https://arxiv.org/abs/2405.15716

Citation mentions

Cited references

Sections

4,518

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	Borri, Massacci, Rubin, and Ruzzi	2022	3	3	5.0	0.079	0.843	100%
2	Liu, Tsyvinski, and Wu	2022	3	2	5.0	0.079	0.737	100%
3	Cong, Karolyi, Tang, and Zhao	2022	3	2	5.0	0.079	0.737	100%
4	Shams	2020	2	2	3.0	0.053	0.644	100%
5	Liu and Tsyvinski	2021	2	2	3.0	0.053	0.644	100%
6	Zhang and Li	2020	2	2	3.0	0.053	0.644	100%
7	Zhang, Li, Xiong, and Wang	2021	2	2	3.0	0.053	0.644	100%
8	Zhang and Li	2023	2	2	3.0	0.053	0.644	100%
9	Bianchi, Guidolin, and Pedio	2022	2	2	3.0	0.053	0.644	100%
10	Liebi	2022	2	2	3.0	0.053	0.644	100%
11	Hayek	1976	2	2	3.0	0.053	0.644	100%
12	Nakamoto	2008	1	1	1.0	0.026	0.406	100%
13	Lamport, Shostak, and Pease	1982	1	1	1.0	0.026	0.406	100%
14	Makarov and Schoar	2020	1	1	1.0	0.026	0.406	100%
15	Hu, Parlour, and Rajan	2019	1	1	1.0	0.026	0.406	100%
16	Borri	2019	1	1	1.0	0.026	0.406	100%
17	Bianchi	2020	1	1	1.0	0.026	0.406	100%
18	Cheah, Luo, Zhang, and Sung	2022	1	1	1.0	0.026	0.406	100%
19	Giglio and Xiu	2021	1	1	1.0	0.026	0.406	100%
20	Liu, Tsyvinski, and Wu	2021	1	1	2.0	0.026	0.406	100%
21	Yao, Kong, Sensoy, Akyildirim, and Cheng	2021	1	1	2.0	0.026	0.406	100%
22	Fratzscher	2009	1	1	2.0	0.026	0.406	100%
23	Aiello, Baker, Balyuk, Di Maggio, Johnson, and Kot...	2023	1	1	2.0	0.026	0.406	100%
24	Bali, Engle, and Murray	2016	1	1	2.0	0.026	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.