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Citation Analysis

\mboxLarge Bayesian Tensor VARs with Stochastic Volatility
Joshua C. C. Chan, Yaling Qi
https://arxiv.org/abs/2409.16132
80
Citation mentions
53
Cited references
9
Sections
5,082
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 Cogley and Sargent 2005 4 2 6.0 0.050 0.811 100%
2 Wang, Zheng, Lian, and Li 2022 3 2 4.0 0.037 0.737 100%
3 Doan, Litterman, and Sims 1984 2 2 3.0 0.025 0.644 100%
4 Litterman 1986 2 2 3.0 0.025 0.644 100%
5 Kadiyala and Karlsson 1993 2 2 3.0 0.025 0.644 100%
6 Kadiyala and Karlsson 1997 2 2 3.0 0.025 0.644 100%
7 Giannone, Lenza, and Primiceri 2015 2 2 3.0 0.025 0.644 100%
8 Chan (self) 2022 2 2 3.0 0.025 0.644 100%
9 Korobilis and Pettenuzzo 2019 2 2 3.0 0.025 0.644 100%
10 Huber and Feldkircher 2019 2 2 3.0 0.025 0.644 100%
11 Kastner and Huber 2020 2 2 3.0 0.025 0.644 100%
12 Chan (self) 2021 2 2 3.0 0.025 0.644 100%
13 Carriero, Kapetanios, and Marcellino 2011 2 2 3.0 0.025 0.644 100%
14 Carriero, Clark, Marcellino, and Mertens 2022 2 2 3.0 0.025 0.644 100%
15 Carriero, Clark, and Marcellino 2019 2 2 3.0 0.025 0.644 100%
16 Carriero, Chan, Clark, and Marcellino (self) 2022 2 2 3.0 0.025 0.644 100%
17 Carriero, Clark, and Marcellino 2016 2 2 3.0 0.025 0.644 100%
18 Luo and Griffin 2023 2 2 3.0 0.025 0.644 100%
19 Clark 2011 2 2 4.0 0.025 0.644 100%
20 D'Agostino, Gambetti, and Giannone 2013 2 2 4.0 0.025 0.644 100%
21 Kolda and Bader 2009 2 2 4.0 0.025 0.644 100%
22 Chan (self) 2023 2 2 4.0 0.025 0.644 100%
23 McCracken and Ng 2020 2 2 4.0 0.025 0.644 100%
24 Primiceri 2005 2 1 4.0 0.025 0.511 100%
25 Ba\'nbura, Giannone, and Reichlin 2010 1 1 1.0 0.013 0.406 100%
26 Carriero, Kapetanios, and Marcellino 2009 1 1 1.0 0.013 0.406 100%
27 Koop 2013 1 1 1.0 0.013 0.406 100%
28 Park and Casella 2008 1 1 1.0 0.013 0.406 100%
29 Griffin and Brown 2010 1 1 1.0 0.013 0.406 100%
30 Carvalho, Polson, and Scott 2010 1 1 1.0 0.013 0.406 100%
31 Follett and Yu 2019 1 1 1.0 0.013 0.406 100%
32 Bhattacharya, Pati, Pillai, and Dunson 2015 1 1 1.0 0.013 0.406 100%
33 Hauzenberger, Huber, and Koop 2024 1 1 1.0 0.013 0.406 100%
34 Lenza and Primiceri 2022 1 1 1.0 0.013 0.406 100%
35 Billio, Casarin, Iacopini, and Kaufmann 2023 1 1 1.0 0.013 0.406 100%
36 Wang, Zheng, and Li 2024 1 1 1.0 0.013 0.406 100%
37 Sims and Zha 2006 1 1 2.0 0.013 0.406 100%
38 Koop and Korobilis 2013 1 1 2.0 0.013 0.406 100%
39 Clark and Ravazzolo 2015 1 1 2.0 0.013 0.406 100%
40 Cross and Poon 2016 1 1 2.0 0.013 0.406 100%
41 Chan and Eisenstat (self) 2018 1 1 2.0 0.013 0.406 100%
42 Chan (self) 2020 1 1 2.0 0.013 0.406 100%
43 Arias, Rubio-Ramirez, and Shin 2023 1 1 2.0 0.013 0.406 100%
44 Chan, Koop, and Yu (self) 2024 1 1 2.0 0.013 0.406 100%
45 Bertsche and Braun 2022 1 1 2.0 0.013 0.406 100%
46 Stock and Watson 2016 1 1 2.0 0.013 0.406 100%
47 Clark and Mertens 2023 1 1 2.0 0.013 0.406 100%
48 Chan (self) 2024 1 1 2.0 0.013 0.406 100%
49 Gefang, Koop, and Poon 2023 1 1 2.0 0.013 0.406 100%
50 Bernardi, Bianchi, and Bianco 2024 1 1 2.0 0.013 0.406 100%
51 Chan (self) 2023 1 1 2.0 0.013 0.406 100%
52 Koop and Korobilis 2018 1 1 2.0 0.013 0.406 100%
53 Huber, Koop, and Onorante 2019 1 1 2.0 0.013 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.

Citation intensity data generated from LaTeX source analysis.