Citation Analysis

Three’s a crowd: Identification challenges in the triple difference model with spillover effects%The triple difference model in presence of spillovers
Silvia De Nicolò, Beatrice Biondi, Mario Mazzocchi
https://arxiv.org/abs/2601.15764
78
Citation mentions
43
Cited references
9
Sections
3,106
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 Olden, Andreas and M\o 2022 6 3 7.5 0.077 1.000 100%
2 Huber, Martin and Steinmayr, Andreas 2021 5 3 7.5 0.064 1.000 100%
3 Ortiz-Villavicencio, Marcelo and Sant'Anna, Pedro ... 2025 16 8 25.5 0.205 1.000 100%
4 Caron, Laura 2025 3 3 3.5 0.038 0.843 100%
5 Lee, Youjin and Hettinger, Gary and Mitra, Nandita 2025 3 3 4.5 0.038 0.843 100%
6 Bellou, Andriana and Bhatt, Rachana 2013 2 2 1.5 0.026 0.644 100%
7 Lee, Hwa-Young and Kim, Nam-Hee and Kawachi, Ichir... 2022 2 2 1.5 0.026 0.644 100%
8 Butts, Kyle 2021 2 2 1.5 0.026 0.644 100%
9 Fro 2019 2 2 4.0 0.026 0.644 100%
10 Fiorini, Mario and Lee, Wooyong and Pfeifer, Grego... 2024 2 2 4.0 0.026 0.644 100%
11 Cerqua, Augusto and Pellegrini, Guido 2017 2 2 4.0 0.026 0.644 100%
12 Lipton, Brandy J 2021 2 1 1.0 0.026 0.511 100%
13 Leung, Justin H 2021 1 1 1.0 0.013 0.406 100%
14 Liu, Li and Schmidt-Eisenlohr, Tim and Guo, Dongxi... 2020 1 1 1.0 0.013 0.406 100%
15 Yu, Da-Jin and Li, Jin 2021 1 1 1.0 0.013 0.406 100%
16 Curtis, E Mark 2018 1 1 1.0 0.013 0.406 100%
17 Roth, Jonathan and Sant’ 2023 1 1 1.0 0.013 0.406 100%
18 Strezhnev, Anton 2024 1 1 0.5 0.013 0.406 100%
19 Akbari, Sina and Kiyavash, Negar and Ghassami, Ami... 2025 1 1 0.5 0.013 0.406 100%
20 Strezhnev, Anton 2023 1 1 0.5 0.013 0.406 100%
21 Leventer, Dor 2025 1 1 0.5 0.013 0.406 100%
22 Akbari, Sina and Kiyavash, Negar 2024 1 1 0.5 0.013 0.406 100%
23 Xiong, Ding and Zhong, Xin and Sun, Kai and Zhao, ... 2025 1 1 0.5 0.013 0.406 100%
24 Barwick, Panle Jia and Chen, Luming and Li, Shanju... 2025 1 1 0.5 0.013 0.406 100%
25 Barkowski, Scott and Jun, Dajung and Zhang, Yuting 2025 1 1 0.5 0.013 0.406 100%
26 Premkumar, Deepak 2025 1 1 0.5 0.013 0.406 100%
27 Paredes, Valentina and Paserman, M. Daniele and Pi... 2025 1 1 0.5 0.013 0.406 100%
28 Reddig, Kole 2024 1 1 0.5 0.013 0.406 100%
29 Hettinger, Gary and Roberto, Christina and Lee, Yo... 2025 1 1 0.5 0.013 0.406 100%
30 Arkhangelsky, Dmitry and Imbens, Guido 2024 1 1 0.5 0.013 0.406 100%
31 McIntosh, Craig 2008 1 1 0.5 0.013 0.406 100%
32 Bratberg, Espen and Monstad, Karin 2015 1 1 0.5 0.013 0.406 100%
33 Gruber, Jonathan 1992 1 1 0.5 0.013 0.406 100%
34 Zhang, Yingjie and Zheng, Siqi and Song, Yan and Z... 2016 1 1 0.5 0.013 0.406 100%
35 Bokhari, Farasat AS and Chakraborty, Ratula and Do... 2024 1 1 0.5 0.013 0.406 100%
36 Forastiere, Laura and Mealli, Fabrizia and VanderW... 2016 1 1 2.0 0.013 0.406 100%
37 Michael G. Hudgens and M. Elizabeth Halloran 2008 1 1 2.0 0.013 0.406 100%
38 Egami, Naoki and Yamauchi, Soichiro 2023 1 1 2.0 0.013 0.406 100%
39 Lechner, Michael 2002 1 1 2.0 0.013 0.406 100%
40 Bergantino, Angela Stefania and Fusco, Giulio and ... 2025 1 1 2.0 0.013 0.406 100%
41 Miller, Douglas L 2023 1 1 2.0 0.013 0.406 100%
42 Kang, Joseph DY and Schafer, Joseph L 2007 1 1 2.0 0.013 0.406 100%
43 Sant’Anna, Pedro HC and Zhao, Jun 2020 1 1 2.0 0.013 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.