Citation Analysis

Crypto Pricing with Hidden Factors
Matthew Brigida
https://arxiv.org/abs/2601.07664
20
Citation mentions
11
Cited references
3
Sections
3,304
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 Giglio, Stefano and Xiu, Dacheng 5 3 9.0 0.250 0.928 80%
2 Borri, Nicola and Massacci, Daniele and Rubin, Mir... 3 2 5.0 0.150 0.644 67%
3 Matthew Brigida (self) 2025 2 2 4.0 0.100 0.644 100%
4 Fama, Eugene F and French, Kenneth R 1993 1 1 2.0 0.050 0.406 100%
5 Fama, Eugene F. and MacBeth, James D. 1 1 2.0 0.050 0.406 100%
6 Shanken, Jay 1 1 2.0 0.050 0.406 100%
7 Cochrane, John H. 2005 1 1 2.0 0.050 0.406 100%
8 Foley, Sean and Li, Simeng and Malloch, Hamish and... 2022 2 1 2.0 0.100 0.110 0%
9 Almeida, Caio and Grith, Maria and Miftachov, Ratm... 2024 2 1 2.0 0.100 0.110 0%
10 Liu, Yukun and Tsyvinski, Aleh 1 1 1.0 0.050 0.087 0%
11 Liu, Yukun and Tsyvinski, Aleh and Wu, Xi 2022 1 1 1.0 0.050 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.