Citation Analysis

Fast Algorithms for Quantile Regression with Selection
Santiago Pereda-Fernández
https://arxiv.org/abs/2402.16693

Citation mentions

Cited references

Sections

4,060

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	Portnoy, S. and R. Koenker	1997	8	5	12.0	0.222	1.000	100%
2	Chernozhukov, V., I. Fernandez-Val, and B. Melly	2022	10	4	14.0	0.278	1.000	100%
3	Arellano, M. and S. Bonhomme	2017a	7	4	13.0	0.194	1.000	100%
4	Pereda-Fern\'andez, S	2023	3	3	5.0	0.083	0.843	100%
5	Koenker, R. and G. Bassett	1978	2	2	3.0	0.056	0.644	100%
6	Pereda-Fernandez, S	2022	2	2	4.0	0.056	0.644	100%
7	Arellano, M. and S. Bonhomme	2017b	1	1	1.0	0.028	0.406	100%
8	Chen, S. and Q. Wang	2022	1	1	1.0	0.028	0.406	100%
9	Sancetta, A. and S. Satchell	2004	1	1	2.0	0.028	0.406	100%
10	Ma, S. and M. R. Kosorok	2005	1	1	2.0	0.028	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.