Citation Analysis

\textbfArtificial neural networks and time series of counts: A class of nonlinear INGARCH models
Malte Jahn
https://arxiv.org/abs/2304.01025

Citation mentions

Cited references

Sections

3,231

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	4	3	7.0	0.100	0.928	100%
2	3	3	5.0	0.075	0.843	100%
3	3	3	5.0	0.075	0.843	100%
4	3	2	4.0	0.075	0.737	100%
5	5	1	10.0	0.125	0.693	100%
6	6	1	12.0	0.150	0.693	100%
7	3	1	6.0	0.075	0.585	100%
8	2	1	2.0	0.050	0.511	100%
9	2	1	4.0	0.050	0.511	100%
10	2	1	4.0	0.050	0.511	100%
11	1	1	1.0	0.025	0.406	100%
12	1	1	1.0	0.025	0.406	100%
13	1	1	1.0	0.025	0.406	100%
14	1	1	1.0	0.025	0.406	100%
15	1	1	2.0	0.025	0.406	100%
16	1	1	2.0	0.025	0.406	100%
17	1	1	2.0	0.025	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.