Citation Analysis

\bf Factor-augmented sparse MIDAS regressions with an application to nowcasting
Jad Beyhum, Jonas Striaukas
https://arxiv.org/abs/2306.13362
90
Citation mentions
52
Cited references
7
Sections
6,185
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 Babii, Andrii and Ghysels, Eric and Striaukas, Jon... (self) 2022 14 4 21.0 0.156 1.000 100%
2 Ahn, Seung C and Horenstein, Alex R 2013 4 4 8.0 0.044 0.928 100%
3 Bickel, Peter J and Ritov, Ya’acov and Tsybakov, A... 2009 5 2 9.0 0.056 0.874 100%
4 Fan, Jianqing and Masini, Ricardo P and Medeiros, ... 2023 4 2 7.0 0.044 0.811 100%
5 Dedecker, Je 2004 3 2 4.0 0.033 0.737 100%
6 Beyhum, Jad and Striaukas, Jonas (self) 2024 3 2 5.0 0.033 0.737 100%
7 Diebold, Francis X. 2020 3 2 5.0 0.033 0.737 100%
8 Bai, Jushan and Ng, Serena 2002 2 2 4.0 0.022 0.644 100%
9 Bai, Jushan and Ng, Serena 2019 2 2 4.0 0.022 0.644 100%
10 Bai, Jushan 2003 3 1 6.0 0.033 0.585 100%
11 Marcellino, Massimiliano and Schumacher, Christian 2010 2 1 2.0 0.022 0.511 100%
12 Andreou, Elena and Ghysels, Eric and Kourtellos, A... 2013 2 1 2.0 0.022 0.511 100%
13 Koh, Yookyung Julia 2023 2 1 2.0 0.022 0.511 100%
14 Bai, Jushan and Ng, Serena 2006 2 1 4.0 0.022 0.511 100%
15 Dezeure, Ruben and Bu 2017 2 1 4.0 0.022 0.511 100%
16 Stock, James H and Watson, Mark W 1999 1 1 1.0 0.011 0.406 100%
17 Stock, James H and Watson, Mark W 2002 1 1 1.0 0.011 0.406 100%
18 Tibshirani, Robert 1996 1 1 1.0 0.011 0.406 100%
19 Andreou, Elena and Ghysels, Eric and Kourtellos, A... 2010 1 1 1.0 0.011 0.406 100%
20 Siliverstovs, Boriss 2017 1 1 1.0 0.011 0.406 100%
21 Uematsu, Yoshimasa and Tanaka, Shinya 2019 1 1 1.0 0.011 0.406 100%
22 Ferrara, Laurent and Marsilli, Cle 2019 1 1 1.0 0.011 0.406 100%
23 Krampe, Jonas and Margaritella, Luca 2025 1 1 1.0 0.011 0.406 100%
24 Hansen, Christian and Liao, Yuan 2019 1 1 1.0 0.011 0.406 100%
25 Vogt, Michael and Walsh, Christopher and Linton, O... 2022 1 1 1.0 0.011 0.406 100%
26 Bai, Jushan and Ng, Serena 2008 1 1 1.0 0.011 0.406 100%
27 Bessec, Marie 2013 1 1 1.0 0.011 0.406 100%
28 Franjic, Domenic and Schweikert, Karsten 2024 1 1 1.0 0.011 0.406 100%
29 Mogliani, Matteo and Simoni, Anna 2021 1 1 1.0 0.011 0.406 100%
30 Kohns, David and Potjagailo, Galina 2025 1 1 1.0 0.011 0.406 100%
31 Foroni, Claudia and Marcellino, Massimiliano and S... 2022 1 1 1.0 0.011 0.406 100%
32 Huber, Florian and Koop, Gary and Onorante, Luca a... 2023 1 1 1.0 0.011 0.406 100%
33 Carriero, Andrea and Clark, Todd E and Marcellino,... 2024 1 1 1.0 0.011 0.406 100%
34 Hauzenberger, Niko and Marcellino, Massimiliano an... 2024 1 1 1.0 0.011 0.406 100%
35 Onatski, Alexei 2010 1 1 2.0 0.011 0.406 100%
36 Fan, Jianqing and Guo, Jianhua and Zheng, Shurong 2022 1 1 2.0 0.011 0.406 100%
37 Beyhum, Jad and Gautier, Eric (self) 2023 1 1 2.0 0.011 0.406 100%
38 Freeman, Hugo and Weidner, Martin 2023 1 1 2.0 0.011 0.406 100%
39 Fan, Jianqing and Liao, Yuan and Mincheva, Martina 2013 1 1 2.0 0.011 0.406 100%
40 Lederer, Johannes and Vogt, Michael 2021 1 1 2.0 0.011 0.406 100%
41 Fan, Jianqing and Ke, Yuan and Wang, Kaizheng 2020 1 1 2.0 0.011 0.406 100%
42 McCracken, Michael W and Ng, Serena 2016 1 1 2.0 0.011 0.406 100%
43 Quaedvlieg, Rogier 2021 1 1 2.0 0.011 0.406 100%
44 Igan, Deniz and Kirti, Divya and Peria, Soledad Ma... 2020 1 1 2.0 0.011 0.406 100%
45 Aruoba, S Bora\ug 2009 1 1 2.0 0.011 0.406 100%
46 Brave, Scott A and Butters, R Andrew and Kelley, D... 2019 1 1 2.0 0.011 0.406 100%
47 Brave, Scott A and Kelley, David 2017 1 1 2.0 0.011 0.406 100%
48 Amburgey, Aaron J and McCracken, Michael W 2023 1 1 2.0 0.011 0.406 100%
49 Uematsu, Yoshimasa and Yamagata, Takashi 2022 1 1 2.0 0.011 0.406 100%
50 Zou, Hui and Hastie, Trevor and Tibshirani, Robert 2006 1 1 2.0 0.011 0.406 100%
51 Andreou, Elena and Gagliardini, Patrick and Ghysel... 2020 1 1 2.0 0.011 0.406 100%
52 Boot, Tom and Pick, Andreas 2020 1 1 2.0 0.011 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.