Citation Analysis

\textbfLayer-2 Adoption and Ethereum Mainnet Congestion: Regime-Aware Causal Evidence Across London, the Merge, and Dencun (2021--2024)
Aysajan Eziz
https://arxiv.org/abs/2512.14724

Citation mentions

Cited references

Sections

9,605

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	Buterin, Vitalik and Ansgar Dietrichs and others	2024	4	4	7.0	0.148	0.928	100%
2	Gogol, Krzysztof and Messias, Johnnatan and Miori,...	2024	5	5	8.5	0.185	0.928	80%
3	Wang, Shouqiao and Crapis, Davide and Moallemi, Ci...	2025	4	4	8.0	0.148	0.928	100%
4	Liu, Yulin and Lu, Yuxuan and Nayak, Kartik and Zh...	2022	8	8	12.0	0.296	0.909	75%
5	Buterin, Vitalik and Conner, Eric and Dudley, Rick...	2021	1	1	2.0	0.037	0.406	100%
6	Bernal, James Lopez and Cummins, Steven and Gaspar...	2017	1	1	2.0	0.037	0.406	100%
7	Penfold, Robert B. and Zhang, Fang	2013	1	1	2.0	0.037	0.406	100%
8	de Chaisemartin, Cl\'e	2020	1	1	2.0	0.037	0.406	100%
9	Brodersen, Kay H. and Gallusser, Fabian and Koehle...	2015	1	1	2.0	0.037	0.406	100%
10	Hausman, Catherine and Rapson, David S.	2018	1	1	2.0	0.037	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.