Citation Analysis

Weighted Regression with Sybil Networks
Nihar Shah
https://arxiv.org/abs/2408.17426

Citation mentions

Cited references

Sections

3,338

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	Mysten Labs	2023	2	1	4.0	0.222	0.511	100%
2	Douceur, John R	2002	1	1	1.0	0.111	0.406	100%
3	Abadie, Alberto and Athey, Susan and Imbens, Guido...	2022	1	1	1.0	0.111	0.406	100%
4	Zhi Yang and Christo Wilson and Xiao Wang and Ting...	2011	1	1	1.0	0.111	0.406	100%
5	Danezis, George and Mittal, Prateek	2009	1	1	1.0	0.111	0.406	100%
6	Gong, Neil Zhenqiang and Frank, Mario and Mittal, ...	2014	1	1	1.0	0.111	0.406	100%
7	Carroll, Raymond J and Ruppert, David	2017	1	1	2.0	0.111	0.406	100%
8	Van Aken, Andrew	2024	1	1	2.0	0.111	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.