Citation Analysis

Fast Learning of Optimal Policy Trees
James Cussens, Julia Hatamyar, Vishalie Shah, Noemi Kreif
https://arxiv.org/abs/2506.15435

Citation mentions

Cited references

Sections

5,197

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	Zhengyuan Zhou and Susan Athey and Stefan Wager		4	2	7.0	0.167	0.811	100%
2			3	2	5.0	0.125	0.737	100%
3			2	2	4.0	0.083	0.644	100%
4			3	1	3.0	0.125	0.585	100%
5			1	1	1.0	0.042	0.406	100%
6			1	1	1.0	0.042	0.406	100%
7			1	1	1.0	0.042	0.406	100%
8			1	1	1.0	0.042	0.406	100%
9			1	1	1.0	0.042	0.406	100%
10			1	1	1.0	0.042	0.406	100%
11			1	1	1.0	0.042	0.406	100%
12	Gurobi Optimization, LLC		1	1	1.0	0.042	0.406	100%
13	Boost C++ Libraries		1	1	2.0	0.042	0.406	100%
14	Cormen, Thomas H. and Leiserson, Charles E. and Ri...		1	1	2.0	0.042	0.406	100%
15			1	1	2.0	0.042	0.406	100%
16	van der Linden, Jacobus and de Weerdt, Mathijs and...	2023	1	1	1.0	0.042	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.