Citation Analysis

Reinsurance Strategy Optimization: A Hybrid Framework with Generative AI and Reinforcement Learning
Stella C. Dong, James R. Finlay
https://arxiv.org/abs/2501.06404

Citation mentions

Cited references

Sections

3,511

Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

#	Mentions	Breadth	Sec. Wtd	Share	Composite	Main %
1	5	5	8.0	0.079	1.000	100%
2	5	4	7.0	0.079	1.000	100%
3	6	5	10.0	0.095	1.000	100%
4	5	5	8.0	0.079	1.000	100%
5	4	4	6.0	0.063	0.928	100%
6	4	4	7.0	0.063	0.928	100%
7	3	3	5.0	0.048	0.843	100%
8	3	3	5.0	0.048	0.843	100%
9	3	3	5.0	0.048	0.843	100%
10	3	2	5.0	0.048	0.737	100%
11	3	2	5.0	0.048	0.737	100%
12	3	2	5.0	0.048	0.737	100%
13	3	2	5.0	0.048	0.737	100%
14	2	2	3.0	0.032	0.644	100%
15	2	2	3.0	0.032	0.644	100%
16	2	1	4.0	0.032	0.511	100%
17	2	1	4.0	0.032	0.511	100%
18	1	1	1.0	0.016	0.406	100%
19	1	1	2.0	0.016	0.406	100%
20	1	1	2.0	0.016	0.406	100%
21	1	1	2.0	0.016	0.406	100%
22	1	1	1.0	0.016	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.