Citation Analysis

Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models
Stephan Hetzenecker, Maximilian Osterhaus
https://arxiv.org/abs/2408.09560

Citation mentions

Cited references

Sections

8,933

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	Max H Farrell and Tengyuan Liang and Sanjog Misra	2021	6	3	12.0	0.429	1.000	100%
2			2	1	4.0	0.143	0.511	100%
3	S Van Cranenburgh and S Wang and A Vij and F Perei...	2021	1	1	1.0	0.071	0.406	100%
4	Yann LeCun and Yoshua Bengio and Geoffrey Hinton	2015	1	1	1.0	0.071	0.406	100%
5			1	1	2.0	0.071	0.406	100%
6	Gianluca Antonini and Carmine Gioia and Emma Freji...	2007	1	1	2.0	0.071	0.406	100%
7			1	1	2.0	0.071	0.406	100%
8			1	1	2.0	0.071	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.