Citation Analysis

Ranking probabilistic forecasting models with different loss functions
Tomasz Serafin, Bartosz Uniejewski
https://arxiv.org/abs/2411.17743

Citation mentions

Cited references

Sections

1,771

Words (approx)

References by Citation Intensity

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

#	Reference	Year	Mentions	Breadth	Sec. Wtd	Share	Composite	Main %
1	Katarzyna Maciejowska and Tomasz Serafin and Barto... (self)	2024	6	6	12.0	0.150	1.000	100%
2	Bartosz Uniejewski (self)	2024	7	6	11.0	0.175	0.894	71%
3	T. Gneiting and A. Raftery		3	3	4.5	0.075	0.737	67%
4	Christopher Kath and Florian Ziel	2021	2	2	4.0	0.050	0.644	100%
5	Elizabeth Yardley and Fotios Petropoulos	2021	2	2	4.0	0.050	0.644	100%
6	Katarzyna Maciejowska and Bartosz Uniejewski and R... (self)	2023	3	2	3.0	0.075	0.511	33%
7	F. Ziel and R. Weron		1	1	2.0	0.025	0.406	100%
8			1	1	2.0	0.025	0.406	100%
9	Johnson, Norman L	1949	1	1	2.0	0.025	0.406	100%
10			1	1	2.0	0.025	0.406	100%
11	J. Nowotarski and R. Weron		1	1	2.0	0.025	0.406	100%
12			1	1	2.0	0.025	0.406	100%
13	R. W. Koenker		1	1	2.0	0.025	0.406	100%
14	G. Marcjasz and B. Uniejewski and R. Weron (self)		1	1	2.0	0.025	0.406	100%
15	Wang, Y. and Zhang, N. and Tan, Y. and Hong, T. an...	2019	1	1	2.0	0.025	0.406	100%
16	Bartosz Uniejewski and Rafał Weron (self)	2021	1	1	2.0	0.025	0.406	100%
17	Fernandes, Marcelo and Guerre, Emmanuel and Horta,...	2021	1	1	2.0	0.025	0.406	100%
18	Christopher Kath and Florian Ziel		1	1	2.0	0.025	0.406	100%
19	Serafin, T. and Weron, R. (self)	2024	1	1	2.0	0.025	0.406	100%
20	Grushka-Cockayne, Yael and Lichtendahl Jr, Kenneth...	2017	1	1	2.0	0.025	0.406	100%
21	Chatfield, Chris	1993	1	1	2.0	0.025	0.406	100%
22	Tao Hong and Pierre Pinson and Shu Fan and Hamidre...		1	1	0.5	0.025	0.087	0%
23	Marcjasz, Grzegorz and Narajewski, Micha\l	2023	1	1	0.5	0.025	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.