← Back to paper list

Citation Analysis

Fast and Efficient Bayesian Analysis of Structural Vector Autoregressions Using the \proglangR
Tomasz Woźniak
https://arxiv.org/abs/2410.15090
131
Citation mentions
85
Cited references
4
Sections
6,372
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 Lutkepohl, Helmut and Shang, Fei and Uzeda, Luis a... 2024 11 5 18.0 0.084 1.000 100%
2 Joshua C. C. Chan and Gary Koop and Xuewen Yu 2024 5 3 7.0 0.038 1.000 100%
3 Waggoner, Daniel F. and Zha, Tao 7 3 11.0 0.053 1.000 100%
4 Kilian, L. and Lutkepohl, H. 2017 4 3 7.0 0.031 0.928 100%
5 Lanne, Markku and Lutkepohl, Helmut 2010 3 3 5.0 0.023 0.843 100%
6 Lanne, Markku and Meitz, Mika and Saikkonen, Pentt... 2017 3 3 5.0 0.023 0.843 100%
7 Malsiner-Walli, Gertraud and Fru 2016 3 3 5.0 0.023 0.843 100%
8 Lutkepohl, Helmut and Wo\'zniak, Tomasz 2020 3 3 5.0 0.023 0.843 100%
9 Giannone, Domenico and Lenza, Michele and Primicer... 2015 3 2 4.0 0.023 0.737 100%
10 Doan, Thomas and Litterman, Robert B. and Sims, Ch... 1984 2 2 3.0 0.015 0.644 100%
11 Daniel F. Waggoner and Tao Zha 2003 2 2 3.0 0.015 0.644 100%
12 Brunnermeier, Markus and Palia, Darius and Sastry,... 2021 2 2 3.0 0.015 0.644 100%
13 Fr\"u 2006 2 2 3.0 0.015 0.644 100%
14 Verdinelli, Isabella and Wasserman, Larry 1995 2 2 3.0 0.015 0.644 100%
15 Xiaolei Wang and Tomasz Wo\'z 2025 2 2 3.0 0.015 0.644 100%
16 Xiaolei Wang and Tomasz Wo\'z 2025 2 2 3.0 0.015 0.644 100%
17 Arias, Jonas E. and Rubio-Ram\'i 2018 2 2 3.0 0.015 0.644 100%
18 Bertsche, Dominik and Braun, Robin 2022 2 2 3.0 0.015 0.644 100%
19 Bauwens, Luc and Richard, J.F. and Lubrano, Michel 1999 2 2 4.0 0.015 0.644 100%
20 Wo\'z 2015 3 1 6.0 0.023 0.585 100%
21 Rubio-Ramirez, Juan F and Waggoner, Daniel F and Z... 2010 2 1 2.0 0.015 0.511 100%
22 Sims, Christopher A 1980 1 1 1.0 0.008 0.406 100%
23 Tomasz Wo\'zniak 2024 1 1 1.0 0.008 0.406 100%
24 R Core Team 2021 1 1 1.0 0.008 0.406 100%
25 Ba\'nbura, Marta and Giannone, Domenico and Reichl... 2010 1 1 1.0 0.008 0.406 100%
26 Wo\'zniak, Tomasz 2016 1 1 1.0 0.008 0.406 100%
27 Rigobon, R. 2003 1 1 1.0 0.008 0.406 100%
28 Antolín-Díaz, Juan and Rubio-Ramírez, Juan F. 2018 1 1 1.0 0.008 0.406 100%
29 Ruey S. Tsay and David Wood and Jon Lachmann 2022 1 1 1.0 0.008 0.406 100%
30 Bernhard Pfaff 2008 1 1 1.0 0.008 0.406 100%
31 Will Nicholson and David Matteson and Jacob Bien a... 2023 1 1 1.0 0.008 0.406 100%
32 Ines Wilms and David S. Matteson and Jacob Bien an... 2023 1 1 1.0 0.008 0.406 100%
33 Namgil Lee and Sung-Ho Kim 2019 1 1 1.0 0.008 0.406 100%
34 Franz X. Mohr 2022 1 1 1.0 0.008 0.406 100%
35 Luis Gruber 2024 1 1 1.0 0.008 0.406 100%
36 Maximilian Boeck and Martin Feldkircher and Floria... 2020 1 1 1.0 0.008 0.406 100%
37 N. Kuschnig and L. Vashold 2021 1 1 1.0 0.008 0.406 100%
38 Fabian Krueger 2015 1 1 1.0 0.008 0.406 100%
39 Primiceri, Giorgio E. 2005 1 1 1.0 0.008 0.406 100%
40 Pu Chen and Chen Chen 2022 1 1 1.0 0.008 0.406 100%
41 Bernanke, Ben S. and Boivin, Jean and Eliasz, Piot... 2005 1 1 1.0 0.008 0.406 100%
42 Patrick T. Brandt 2006 1 1 1.0 0.008 0.406 100%
43 Sims, Christopher A. and Zha, Tao 2006 1 1 1.0 0.008 0.406 100%
44 Christian Danne 2015 1 1 1.0 0.008 0.406 100%
45 Uhlig, Harald 2005 1 1 1.0 0.008 0.406 100%
46 Fry, Renee and Pagan, Adrian 2011 1 1 1.0 0.008 0.406 100%
47 Savi Virolainen 2024 1 1 1.0 0.008 0.406 100%
48 Leena Kalliovirta and Mika Meitz and Pentti Saikko... 2016 1 1 1.0 0.008 0.406 100%
49 Savi Virolainen 2024 1 1 1.0 0.008 0.406 100%
50 Savi Virolainen 2024 1 1 1.0 0.008 0.406 100%
51 Savi Virolainen 2024 1 1 1.0 0.008 0.406 100%
52 Heather M. Anderson and Farshid Vahid 1998 1 1 1.0 0.008 0.406 100%
53 Helmut Lütkepohl and Aleksei Netšunajev 2017 1 1 1.0 0.008 0.406 100%
54 Alistair Dieppe and Bj\"o 2024 1 1 1.0 0.008 0.406 100%
55 Dynare Team 2024 1 1 1.0 0.008 0.406 100%
56 Alexander Lange and Bernhard Dalheimer and Helmut ... 2021 1 1 1.0 0.008 0.406 100%
57 Clark, Todd E. and Ravazzolo, Francesco 2015 1 1 1.0 0.008 0.406 100%
58 Chan, Joshua CC and Eisenstat, Eric 2018 1 1 1.0 0.008 0.406 100%
59 Carriero, Andrea and Clark, Todd E. and Marcellino... 2019 1 1 1.0 0.008 0.406 100%
60 Chan, Joshua CC 2020 1 1 1.0 0.008 0.406 100%
61 Lewis, Daniel J 2021 1 1 2.0 0.008 0.406 100%
62 Droumaguet, Matthieu and Warne, Anders and Woźniak... (self) 2017 1 1 2.0 0.008 0.406 100%
63 Lanne, M. and Lutkepohl, H. and Maciejowska, K. 2010 1 1 2.0 0.008 0.406 100%
64 Song, Yong and Wo\'z 2021 1 1 2.0 0.008 0.406 100%
65 Geweke, J. 1993 1 1 2.0 0.008 0.406 100%
66 Mark J. Jensen and John M. Maheu 2013 1 1 2.0 0.008 0.406 100%
67 Alan E. Gelfand and Adrian F. M. Smith 1990 1 1 2.0 0.008 0.406 100%
68 George Casella and Edward I. George 1992 1 1 2.0 0.008 0.406 100%
69 Andrea Carriero and Joshua Chan and Todd E. Clark ... 2022 1 1 2.0 0.008 0.406 100%
70 Omori, Yasuhiro and Chib, Siddhartha and Shephard,... 2007 1 1 2.0 0.008 0.406 100%
71 McCausland, William J and Miller, Shirley and Pell... 2011 1 1 2.0 0.008 0.406 100%
72 Tomasz Wo\'zniak 2021 1 1 2.0 0.008 0.406 100%
73 Kastner, Gregor and Fr\"u 2014 1 1 2.0 0.008 0.406 100%
74 Chib, Siddhartha 1996 1 1 2.0 0.008 0.406 100%
75 Eddelbuettel, Dirk and Fran\cc 2011 1 1 2.0 0.008 0.406 100%
76 Eddelbuettel, Dirk 2013 1 1 2.0 0.008 0.406 100%
77 Eddelbuettel, Dirk and Sanderson, Conrad 2014 1 1 2.0 0.008 0.406 100%
78 Sanderson, Conrad and Curtin, Ryan 2016 1 1 2.0 0.008 0.406 100%
79 Hosszejni, Darjus and Kastner, Gregor 2021 1 1 2.0 0.008 0.406 100%
80 Jonathan Olmsted 2017 1 1 2.0 0.008 0.406 100%
81 Christian P. Robert 1995 1 1 2.0 0.008 0.406 100%
82 Josef Leydold and Wolfgang Hormann 2017 1 1 2.0 0.008 0.406 100%
83 Ho 2014 1 1 2.0 0.008 0.406 100%
84 Karl Forner 2020 1 1 2.0 0.008 0.406 100%
85 Winston Chang 2021 1 1 2.0 0.008 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.