Citation Analysis

Bayesian Double Machine Learning for Causal Inference
Francis J. DiTraglia, Laura Liu
https://arxiv.org/abs/2508.12688
77
Citation mentions
35
Cited references
8
Sections
2,729
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 Hahn, P. Richard and Carvalho, Carlos M. and Puelz... 2018 10 4 18.0 0.130 1.000 100%
2 Belloni, A. and Chernozhukov, V. and Hansen, C. 2014 5 3 8.0 0.065 1.000 100%
3 Linero, Antonio R. 2023 20 6 34.0 0.260 0.966 90%
4 Hahn, P. Richard and Murray, Jared S. and Carvalho... 2020 5 2 8.0 0.065 0.874 100%
5 Chernozhukov, Victor and Chetverikov, Denis and De... 2018 3 2 4.0 0.039 0.737 100%
6 Walker, Christopher D. 2025 2 1 2.0 0.026 0.511 100%
7 Luo, Yu and Graham, Daniel J. and McCoy, Emma J. 2023 2 1 2.0 0.026 0.511 100%
8 Breunig, Christoph and Liu, Ruixuan and Yu, Zhengf... (self) 2024 2 1 2.0 0.026 0.511 100%
9 Ahrens, Achim and Chernozhukov, Victor and Hansen,... 2025 2 1 2.0 0.026 0.511 100%
10 Sims, Christopher A 2012 1 1 1.0 0.013 0.406 100%
11 Dube, Arindrajit and Jacobs, Jeff and Naidu, Sures... 2020 1 1 1.0 0.013 0.406 100%
12 Jui-Chung Yang and Hui-Ching Chuang and Chung-Ming... 2020 1 1 1.0 0.013 0.406 100%
13 Alsan, Marcella and Durvasula, Maya and Gupta, Har... 2023 1 1 1.0 0.013 0.406 100%
14 Armand, Alex and Coutts, Alexander and Vicente, Pe... 2020 1 1 1.0 0.013 0.406 100%
15 Hussam, Reshmaan and Kelley, Erin M. and Lane, Gre... 2022 1 1 1.0 0.013 0.406 100%
16 Chad Cotti and Charles Courtemanche and Yang Liang... 2025 1 1 1.0 0.013 0.406 100%
17 Delfino, Alexia 2024 1 1 1.0 0.013 0.406 100%
18 Chioda, Laura and Contreras-Loya, David and Gertle... 2021 1 1 1.0 0.013 0.406 100%
19 Esther Duflo and Pascaline Dupas and Michael Kreme... 2021 1 1 1.0 0.013 0.406 100%
20 Gordon, Brett R. and Moakler, Robert and Zettelmey... 2023 1 1 1.0 0.013 0.406 100%
21 Angrist, Joshua D. and Frandsen, Brigham 2022 1 1 1.0 0.013 0.406 100%
22 Wüthrich, Kaspar and Zhu, Ying 2023 1 1 1.0 0.013 0.406 100%
23 Bach, Philipp and Bach, Philipp and De, Uni-Hambur... 2024 1 1 1.0 0.013 0.406 100%
24 Heckman, James J. and Lopes, Hedibert F. and Piate... 2014 1 1 1.0 0.013 0.406 100%
25 Li, Fan and Ding, Peng and Mealli, Fabrizia 2023 1 1 1.0 0.013 0.406 100%
26 Linero, Antonio R. and Antonelli, Joseph L. 2023 1 1 1.0 0.013 0.406 100%
27 Saarela, O. and Belzile, L. R. and Stephens, D. A. 2016 1 1 1.0 0.013 0.406 100%
28 Ray, Kolyan and Van Der Vaart, Aad 2020 1 1 1.0 0.013 0.406 100%
29 Antonelli, Joseph and Papadogeorgou, Georgia and D... 2022 1 1 1.0 0.013 0.406 100%
30 Breunig, Christoph and Liu, Ruixuan and Yu, Zhengf... (self) 2025 1 1 1.0 0.013 0.406 100%
31 Zhang, Yan Dora and Naughton, Brian P. and Bondell... 2022 1 1 2.0 0.013 0.406 100%
32 Zigler, Corwin Matthew 2016 1 1 2.0 0.013 0.406 100%
33 Zellner, Arnold 1971 1 1 2.0 0.013 0.406 100%
34 Kolesár, Michal and Müller, Ulrich K. and Roelsgaa... 2025 1 1 2.0 0.013 0.406 100%
35 Shen, Zhouyu and Xiu, Dacheng 2024 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.