Citation Analysis

$\ell_1$ Penalized Likelihood Inference with Survey Data
Joann Jasiak, Purevdorj Tuvaandorj
https://arxiv.org/abs/2304.07855

103

Citation mentions

Cited references

Sections

2,654

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	8	3	15.0	0.078	1.000	100%
2	8	3	14.0	0.078	1.000	100%
3	5	2	10.0	0.049	0.874	100%
4	8	2	16.0	0.078	0.874	100%
5	3	2	4.0	0.029	0.737	100%
6	3	2	4.0	0.029	0.737	100%
7	3	2	4.0	0.029	0.737	100%
8	2	2	3.0	0.019	0.644	100%
9	2	2	3.0	0.019	0.644	100%
10	2	2	3.0	0.019	0.644	100%
11	3	2	4.5	0.029	0.644	67%
12	10	2	9.5	0.097	0.585	30%
13	7	2	6.5	0.068	0.575	29%
14	6	4	4.5	0.058	0.550	17%
15	2	1	4.0	0.019	0.511	100%
16	2	2	2.5	0.019	0.511	50%
17	1	1	1.0	0.010	0.406	100%
18	1	1	1.0	0.010	0.406	100%
19	1	1	1.0	0.010	0.406	100%
20	1	1	2.0	0.010	0.406	100%
21	1	1	2.0	0.010	0.406	100%
22	1	1	2.0	0.010	0.406	100%
23	1	1	2.0	0.010	0.406	100%
24	1	1	2.0	0.010	0.406	100%
25	1	1	2.0	0.010	0.406	100%
26	13	2	8.0	0.126	0.371	8%
27	2	1	1.0	0.019	0.110	0%
28	2	1	1.0	0.019	0.110	0%
29	1	1	0.5	0.010	0.087	0%
30	1	1	0.5	0.010	0.087	0%
31	1	1	0.5	0.010	0.087	0%

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.