Citation Analysis

srvar-toolkit: A Python Implementation of Shadow-Rate Vector Autoregressions with Stochastic Volatility
Charles Shaw
https://arxiv.org/abs/2512.19589

Citation mentions

Cited references

Sections

1,627

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	Grammatikopoulos, Michael	2025	5	5	7.0	0.500	0.928	80%
2	Sims, Christopher A.	1980	1	1	1.0	0.100	0.406	100%
3	Wu, Jing Cynthia and Xia, Fan Dora	2016	1	1	1.0	0.100	0.406	100%
4	Doan, Thomas and Litterman, Robert and Sims, Chris...	1984	1	1	2.0	0.100	0.406	100%
5	Kim, Sangjoon and Shephard, Neil and Chib, Siddhar...	1998	1	1	2.0	0.100	0.406	100%
6	George, Edward I. and McCulloch, Robert E.	1993	1	1	2.0	0.100	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.