Citation Analysis

A Bayesian Perspective on the Maximum Score Problem
Christopher D. Walker
https://arxiv.org/abs/2410.17153

Citation mentions

Cited references

Sections

2,000

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	6	3	10.0	0.109	1.000	100%
2	6	5	9.0	0.109	0.941	83%
3	6	2	10.0	0.109	0.874	100%
4	4	4	5.0	0.073	0.843	75%
5	4	2	6.0	0.073	0.811	100%
6	4	2	6.0	0.073	0.811	100%
7	3	2	4.0	0.055	0.737	100%
8	3	2	6.0	0.055	0.737	100%
9	3	1	6.0	0.055	0.585	100%
10	2	1	2.0	0.036	0.511	100%
11	2	1	2.0	0.036	0.511	100%
12	1	1	1.0	0.018	0.406	100%
13	1	1	1.0	0.018	0.406	100%
14	1	1	1.0	0.018	0.406	100%
15	1	1	1.0	0.018	0.406	100%
16	1	1	1.0	0.018	0.406	100%
17	1	1	1.0	0.018	0.406	100%
18	1	1	1.0	0.018	0.406	100%
19	1	1	1.0	0.018	0.406	100%
20	1	1	1.0	0.018	0.406	100%
21	1	1	2.0	0.018	0.406	100%
22	1	1	2.0	0.018	0.406	100%
23	1	1	2.0	0.018	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.