Citation Analysis

\bf Reduced-Rank Matrix Autoregressive Models: \\ A Medium $N$ Approach
Alain Hecq, Ivan Ricardo, Ines Wilms
https://arxiv.org/abs/2407.07973
89
Citation mentions
52
Cited references
8
Sections
7,279
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 Wang, Di and Zheng, Yao and Li, Guodong 10 5 16.0 0.112 1.000 100%
2 Wang, Di and Zheng, Yao and Lian, Heng and Li, Guo... 5 4 8.0 0.056 1.000 100%
3 Cubadda, Gianluca and Hecq, Alain (self) 5 2 7.0 0.056 0.874 100%
4 Xiao, H and Han, Y and Chen, R and Liu, C 4 2 7.0 0.045 0.811 100%
5 Lam, Clifford and Yao, Qiwei 4 2 6.0 0.045 0.811 100%
6 Andrea Carriero and George Kapetanios and Massimil... 3 2 4.0 0.034 0.737 100%
7 Chen, Rong and Xiao, Han and Yang, Dan 3 2 4.0 0.034 0.737 100%
8 Engle, Robert F and Kozicki, Sharon 3 2 4.0 0.034 0.737 100%
9 Billio, Monica and Casarin, Roberto and Iacopini, ... 2 2 3.0 0.022 0.644 100%
10 Wang, Di and Zhang, Xiaoyu and Li, Guodong and Tsa... 2 2 3.0 0.022 0.644 100%
11 Velu, Raja P and Reinsel, Gregory C and Wichern, D... 2 2 4.0 0.022 0.644 100%
12 Cubadda, Gianluca and Guardabascio, Barbara and He... (self) 3 1 3.0 0.034 0.585 100%
13 Cubadda, Gianluca and Hecq, Alain (self) 2 1 2.0 0.022 0.511 100%
14 Cubadda, Gianluca and Guardabascio, Barbara 2 1 2.0 0.022 0.511 100%
15 Wang, Dong and Liu, Xialu and Chen, Rong 2 1 2.0 0.022 0.511 100%
16 Basu, Sumanta and Michailidis, George 1 1 1.0 0.011 0.406 100%
17 Kock, Anders Bredahl and Callot, Laurent 1 1 1.0 0.011 0.406 100%
18 Koop, Gary and Korobilis, Dimitris 1 1 1.0 0.011 0.406 100%
19 Nicholson, William B and Wilms, Ines and Bien, Jac... (self) 1 1 1.0 0.011 0.406 100%
20 Stock, James H. and Watson, Mark W. 1 1 1.0 0.011 0.406 100%
21 Korobilis, Dimitris 1 1 1.0 0.011 0.406 100%
22 Samadi, S. Yaser and Billard, Lynne 1 1 1.0 0.011 0.406 100%
23 Yuan, Chaofeng and Gao, Zhigen and He, Xuming and ... 1 1 1.0 0.011 0.406 100%
24 Diebold, Francis X and Y\i 1 1 1.0 0.011 0.406 100%
25 Chen, Elynn Y. and Tsay, Ruey S. and Chen, Rong 1 1 1.0 0.011 0.406 100%
26 Chen, Rong and Yang, Dan and Zhang, Cun-Hui 1 1 1.0 0.011 0.406 100%
27 Han, Yuefeng and Chen, Rong and Zhang, Cun-Hui 1 1 1.0 0.011 0.406 100%
28 Han, Rungang and Willett, Rebecca and Zhang, Anru ... 1 1 1.0 0.011 0.406 100%
29 Chen, Elynn Y and Fan, Jianqing 1 1 1.0 0.011 0.406 100%
30 Cubadda, Gianluca and Hecq, Alain and Palm, Franz ... (self) 1 1 1.0 0.011 0.406 100%
31 Vahid, Farshid and Engle, Robert F 1 1 1.0 0.011 0.406 100%
32 Hecq, Alain and Palm, Franz C and Urbain, Jean-Pie... (self) 1 1 1.0 0.011 0.406 100%
33 Cubadda, Gianluca and Hecq, Alain and Telg, Sean (self) 1 1 1.0 0.011 0.406 100%
34 Samadi, S. Yaser and Herath, H. M. Wiranthe B. 1 1 1.0 0.011 0.406 100%
35 Reinsel, Gregory 1 1 1.0 0.011 0.406 100%
36 Cubadda, Gianluca and Mazzali, Marco 1 1 1.0 0.011 0.406 100%
37 Kolda, Tamara G. and Bader, Brett W. 1 1 2.0 0.011 0.406 100%
38 Tucker, Ledyard R. 1 1 2.0 0.011 0.406 100%
39 De Lathauwer, Lieven and De Moor, Bart and Vandewa... 1 1 2.0 0.011 0.406 100%
40 De Lathauwer, Lieven and De Moor, Bart and Vandewa... 1 1 2.0 0.011 0.406 100%
41 Connor, Gregory and Korajczyk, Robert A 1 1 2.0 0.011 0.406 100%
42 Bai, Jushan and Ng, Serena 1 1 2.0 0.011 0.406 100%
43 Forni, Mario and Lippi, Marco 1 1 2.0 0.011 0.406 100%
44 Stock, James H and Watson, Mark W 1 1 2.0 0.011 0.406 100%
45 Stock, James H and Watson, Mark W 1 1 2.0 0.011 0.406 100%
46 Chi, Yuejie and Lu, Yue M and Chen, Yuxin 1 1 2.0 0.011 0.406 100%
47 Chen, Han and Raskutti, Garvesh and Yuan, Ming 1 1 2.0 0.011 0.406 100%
48 Akaike, Hirotugu 1 1 2.0 0.011 0.406 100%
49 Schwarz, Gideon 1 1 2.0 0.011 0.406 100%
50 Tiao, George C and Tsay, Ruey S 1 1 2.0 0.011 0.406 100%
51 Stock, James H and Watson, Mark W 1 1 2.0 0.011 0.406 100%
52 Sung K. Ahn and Gregory C. Reinsel 1 1 1.0 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.