Citation Analysis

Double Machine Learning for Causal Inference under Shared-State Interference
Chris Hays, Manish Raghavan
https://arxiv.org/abs/2504.08836
122
Citation mentions
50
Cited references
13
Sections
11,823
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 Bojinov, Iavor and Simchi-Levi, David and Zhao, Ji... 2022 6 4 12.0 0.049 1.000 100%
2 Johari, Ramesh and Li, Hannah and Liskovich, Iness... 2021 4 3 4.0 0.033 0.928 100%
3 Farias, Vivek F. and Li, Hao and Peng, Tianyi and ... 2023 4 3 4.0 0.033 0.928 100%
4 Li, Shuangning and Johari, Ramesh and Kuang, Xu an... 2024 4 3 4.0 0.033 0.928 100%
5 Chernozhukov, Victor and Chetverikov, Denis and De... 2018 25 7 34.0 0.205 0.862 64%
6 Wager, Stefan 2024 3 3 3.5 0.025 0.843 100%
7 Munro, Evan 2024 4 3 2.5 0.033 0.843 75%
8 Ballinari, Daniele and Wehrli, Alexander 2024 4 4 5.0 0.033 0.843 75%
9 Farias, Vivek F. and Li, Andrew A. and Peng, Tiany... 2022 4 2 2.5 0.033 0.811 100%
10 Jones, Galin L and Haran, Murali and Caffo, Brian ... 2006 5 2 7.0 0.041 0.737 60%
11 Bradley, Richard C. 2007 3 3 4.5 0.025 0.737 67%
12 Basse, Guillaume W. and Soufiani, Hossein Azari an... 2016 2 2 1.5 0.016 0.644 100%
13 Simchi-Levi, David and Wang, Chonghuan 2023 2 2 1.5 0.016 0.644 100%
14 Dhaouadi, Wassim and Johari, Ramesh and Weintraub,... 2023 2 2 1.5 0.016 0.644 100%
15 Wager, Stefan and Xu, Kuang 2021 2 2 2.5 0.016 0.644 100%
16 Meyn, Sean and Tweedie, Richard L. 2009 3 2 4.5 0.025 0.644 67%
17 Brennan, Jennifer and Cong, Yahu and Yu, Yiwei and... 2024 2 1 1.0 0.016 0.511 100%
18 Kennedy, Edward H. 2023 2 2 1.0 0.016 0.511 50%
19 Emmenegger, Corinne and Spohn, Meta-Lina and Elmer... 2023 3 2 1.5 0.025 0.511 33%
20 Zhan, Ruohan and Han, Shichao and Hu, Yuchen and J... 2024 2 2 1.0 0.016 0.511 50%
21 Angelopoulos, Anastasios N. and Bates, Stephen and... 2023 2 2 2.5 0.016 0.511 50%
22 van der Vaart, A. W. 2000 2 2 2.5 0.016 0.511 50%
23 Chan, Kung Sik and Geyer, Charles J. 1994 2 2 2.5 0.016 0.511 50%
24 Hoeffding, Wassily and Robbins, Herbert 1948 2 2 2.5 0.016 0.511 50%
25 Jones, Galin L. 2005 2 2 2.5 0.016 0.511 50%
26 Holtz, David and Lobel, Felipe and Lobel, Ruben an... 2024 1 1 0.5 0.008 0.406 100%
27 Bajari, Patrick and Burdick, Brian and Imbens, Gui... 2023 1 1 0.5 0.008 0.406 100%
28 Bright, Ido and Delarue, Arthur and Lobel, Ilan 2023 1 1 0.5 0.008 0.406 100%
29 Glynn, Peter and Johari, Ramesh and Rasouli, Moham... 2022 1 1 0.5 0.008 0.406 100%
30 Kennedy, Edward H. and Ma, Zongming and McHugh, Ma... 2017 1 1 0.5 0.008 0.406 100%
31 Kallus, Nathan and Mao, Xiaojie and Uehara, Masato... 2022 1 1 0.5 0.008 0.406 100%
32 Rambachan, Ashesh and Coston, Amanda and Kennedy, ... 2024 1 1 0.5 0.008 0.406 100%
33 Ogburn, Elizabeth L. and Sofrygin, Oleg and Díaz, ... 2024 1 1 0.5 0.008 0.406 100%
34 Aronow, Peter M. and Samii, Cyrus 2017 1 1 2.0 0.008 0.406 100%
35 Eckles, Dean and Karrer, Brian and Ugander, Johan 2014 1 1 2.0 0.008 0.406 100%
36 Chernozhukov, Victor and Hansen, Christian and Kal... 2024 1 1 2.0 0.008 0.406 100%
37 Kennedy, Edward H. 2016 1 1 2.0 0.008 0.406 100%
38 Sävje, Fredrik and Aronow, Peter M. and Hudgens, M... 2019 1 1 2.0 0.008 0.406 100%
39 Robins, James M. and Rotnitzky, Andrea and Zhao, L... 1994 1 1 2.0 0.008 0.406 100%
40 Ma, Mingliang and Safikhani, Abolfazl 2022 1 1 2.0 0.008 0.406 100%
41 Goehry, Benjamin 2020 1 1 2.0 0.008 0.406 100%
42 Irle, A. 1997 1 1 2.0 0.008 0.406 100%
43 Steinwart, Ingo and Hush, Don and Scovel, Clint 2009 1 1 2.0 0.008 0.406 100%
44 Lozano, Aurelie C. and Kulkarni, Sanjeev R. and Sc... 2014 1 1 2.0 0.008 0.406 100%
45 Wong, Kam Chung and Li, Zifan and Tewari, Ambuj 2020 1 1 2.0 0.008 0.406 100%
46 Munro, Evan and Wager, Stefan and Xu, Kuang 2023 1 1 2.0 0.008 0.406 100%
47 2 1 2.0 0.016 0.110 0%
48 Aronow, Peter M. and Eckles, Dean and Samii, Cyrus... 2020 1 1 0.5 0.008 0.087 0%
49 Leung, Michael P. 2022 1 1 0.5 0.008 0.087 0%
50 Chin, Alex 2019 1 1 0.5 0.008 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.