Citation Analysis

\LARGE \textbfMachine Learning the Macroeconomic Effects of Financial Shocks
Niko Hauzenberger, Florian Huber, Karin Klieber, Massimiliano Marcellino
https://arxiv.org/abs/2412.07649
34
Citation mentions
21
Cited references
5
Sections
2,230
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 Barnichon, Regis and Matthes, Christian and Ziegen... 2022 4 3 7.0 0.118 0.928 100%
2 Hauzenberger, Niko and Huber, Florian and Klieber,... (self) 2024 5 2 8.0 0.147 0.874 100%
3 Mumtaz, Haroon and Piffer, Michele 2022 3 3 5.0 0.088 0.843 100%
4 Gilchrist, Simon and Zakraj\vs 2012 3 2 5.0 0.088 0.737 100%
5 Brunnermeier, Markus K and Sannikov, Yuliy 2014 2 2 3.0 0.059 0.644 100%
6 Kilian, Lutz and Lu 2017 2 1 4.0 0.059 0.511 100%
7 Jorda 2005 1 1 1.0 0.029 0.406 100%
8 Kastner, Gregor and Fru 2014 1 1 2.0 0.029 0.406 100%
9 Carvalho, Carlos M and Polson, Nicholas G and Scot... 2009 1 1 2.0 0.029 0.406 100%
10 Ghosh, Soumya and Yao, Jiayu and Doshi-Velez, Fina... 2019 1 1 2.0 0.029 0.406 100%
11 Bhadra, Anindya and Datta, Jyotishka and Li, Yunfa... 2020 1 1 2.0 0.029 0.406 100%
12 Neal, Radford M 2011 1 1 2.0 0.029 0.406 100%
13 Makalic, Enes and Schmidt, Daniel F 2015 1 1 2.0 0.029 0.406 100%
14 Balke, Nathan S 2000 1 1 2.0 0.029 0.406 100%
15 Gon\cc 2024 1 1 2.0 0.029 0.406 100%
16 Inoue, Atsushi and Rossi, Barbara and Wang, Yiru 2024 1 1 2.0 0.029 0.406 100%
17 Clark, Todd E and Huber, Florian and Koop, Gary an... (self) 2024 1 1 2.0 0.029 0.406 100%
18 Lusompa, Amaze 2023 1 1 2.0 0.029 0.406 100%
19 McCracken, Michael W and Ng, Serena 2016 1 1 2.0 0.029 0.406 100%
20 Barnichon, Regis and Matthes, Christian and Ziegen... 2016 1 1 2.0 0.029 0.406 100%
21 Forni, Mario and Gambetti, Luca and Maffei-Facciol... 2024 1 1 2.0 0.029 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.