Citation Analysis

\bf Identification and Inference for Synthetic Controls with Confounding
Guido W. Imbens, Davide Viviano
https://arxiv.org/abs/2312.00955
83
Citation mentions
40
Cited references
10
Sections
10,282
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 Arkhangelsky, Dmitry and Athey, Susan and Hirshber... (self) 2021 14 6 23.0 0.169 1.000 100%
2 Athey, Susan and Bayati, Mohsen and Doudchenko, Ni... (self) 2021 6 4 9.0 0.072 1.000 100%
3 Abadie, Alberto and Diamond, Alexis and Hainmuelle... 2010 10 6 13.0 0.120 0.928 80%
4 Shen, Dennis and Ding, Peng and Sekhon, Jasjeet an... 2022 3 3 5.0 0.036 0.843 100%
5 Moon, Hyungsik Roger and Weidner, Martin 2017 3 2 5.0 0.036 0.737 100%
6 Bai, Jushan and Ng, Serena 2019 3 2 5.0 0.036 0.737 100%
7 Shi, Xu and Miao, Wang and Hu, Mengtong and Tchetg... 2021 2 2 3.0 0.024 0.644 100%
8 Imbens, Guido and Kallus, Nathan and Mao, Xiaojie (self) 2021 2 2 3.0 0.024 0.644 100%
9 Bai, Jushan 2009 2 2 3.0 0.024 0.644 100%
10 Hirshberg, David A 2021 3 2 4.5 0.036 0.644 67%
11 Abadie, Alberto and Gardeazabal, Javier 2003 2 1 2.0 0.024 0.511 100%
12 Hahn, Jinyong and Shi, Ruoyao 2017 2 2 1.5 0.024 0.511 50%
13 Chernozhukov, Victor and Wu 2021 2 2 1.5 0.024 0.511 50%
14 Chamberlain, Gary and Rothschild, Michael 1982 2 1 4.0 0.024 0.511 100%
15 Gobillon, Laurent and Magnac, Thierry 2016 1 1 1.0 0.012 0.406 100%
16 Xu, Yiqing 2017 1 1 1.0 0.012 0.406 100%
17 Ferman, Bruno 2021 1 1 1.0 0.012 0.406 100%
18 Doudchenko, Nikolay and Imbens, Guido W (self) 2016 1 1 1.0 0.012 0.406 100%
19 Abadie, Alberto and Vives-i-Bastida, Jaume 2022 1 1 1.0 0.012 0.406 100%
20 Liu, Licheng and Wang, Ye and Xu, Yiqing 2022 1 1 1.0 0.012 0.406 100%
21 Arkhangelsky, Dmitry and Hirshberg, David 2023 1 1 1.0 0.012 0.406 100%
22 Ben-Michael, Eli and Feller, Avi and Rothstein, Je... 2021 1 1 1.0 0.012 0.406 100%
23 Ferman, Bruno and Pinto, Cristine 2016 1 1 1.0 0.012 0.406 100%
24 Kellogg, Maxwell and Mogstad, Magne and Pouliot, G... 2021 1 1 1.0 0.012 0.406 100%
25 Agarwal, Anish and Syrgkanis, Vasilis 2022 1 1 1.0 0.012 0.406 100%
26 Bottmer, Lea and Imbens, Guido and Spiess, Jann an... (self) 2021 1 1 1.0 0.012 0.406 100%
27 Chernozhukov, V and Wuthrich, K and Zhu, Y 2019 1 1 1.0 0.012 0.406 100%
28 Cattaneo, Matias D and Feng, Yingjie and Titiunik,... 2021 1 1 1.0 0.012 0.406 100%
29 Viviano, Davide and Bradic, Jelena (self) 2023 1 1 1.0 0.012 0.406 100%
30 Imai, Kosuke and Kim, In Song 2021 1 1 1.0 0.012 0.406 100%
31 Shaikh, Azeem M and Toulis, Panos 2021 1 1 1.0 0.012 0.406 100%
32 Bai, Jushan 2003 1 1 2.0 0.012 0.406 100%
33 Farrell, Max H 2015 1 1 2.0 0.012 0.406 100%
34 Arkhangelsky, Dmitry and Imbens, Guido (self) 2018 1 1 2.0 0.012 0.406 100%
35 Van Handel, Ramon 2017 1 1 2.0 0.012 0.406 100%
36 Moon, Hyungsik Roger and Weidner, Martin 2015 1 1 2.0 0.012 0.406 100%
37 Cande 2011 1 1 2.0 0.012 0.406 100%
38 Robins, James M and Rotnitzky, Andrea and Zhao, Lu... 1994 1 1 1.0 0.012 0.406 100%
39 2 1 2.0 0.024 0.110 0%
40 Canay, Ivan A and Romano, Joseph P and Shaikh, Aze... 2017 1 1 0.5 0.012 0.087 0%
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.