Citation Analysis

\bf Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions
Paul Ghelasi, Florian Ziel
https://arxiv.org/abs/2305.16255

Citation mentions

Cited references

Sections

3,700

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	12	5	21.0	0.185	1.000	100%
2	7	4	11.0	0.108	1.000	100%
3	6	4	9.0	0.092	1.000	100%
4	3	3	4.0	0.046	0.843	100%
5	3	2	3.0	0.046	0.737	100%
6	2	2	2.0	0.031	0.644	100%
7	2	2	3.0	0.031	0.644	100%
8	2	1	2.0	0.031	0.511	100%
9	2	1	4.0	0.031	0.511	100%
10	2	1	4.0	0.031	0.511	100%
11	2	1	4.0	0.031	0.511	100%
12	1	1	1.0	0.015	0.406	100%
13	1	1	1.0	0.015	0.406	100%
14	1	1	1.0	0.015	0.406	100%
15	1	1	1.0	0.015	0.406	100%
16	1	1	1.0	0.015	0.406	100%
17	1	1	1.0	0.015	0.406	100%
18	1	1	1.0	0.015	0.406	100%
19	1	1	1.0	0.015	0.406	100%
20	1	1	1.0	0.015	0.406	100%
21	1	1	1.0	0.015	0.406	100%
22	1	1	1.0	0.015	0.406	100%
23	1	1	1.0	0.015	0.406	100%
24	1	1	1.0	0.015	0.406	100%
25	1	1	1.0	0.015	0.406	100%
26	1	1	1.0	0.015	0.406	100%
27	1	1	1.0	0.015	0.406	100%
28	1	1	2.0	0.015	0.406	100%
29	1	1	2.0	0.015	0.406	100%
30	1	1	2.0	0.015	0.406	100%
31	1	1	2.0	0.015	0.406	100%
32	1	1	2.0	0.015	0.406	100%
33	1	1	1.0	0.015	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.