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Citation Analysis

Leave No One Undermined: Policy Targeting with Regret Aversion
Toru Kitagawa, Sokbae Lee, Chen Qiu
https://arxiv.org/abs/2506.16430
136
Citation mentions
87
Cited references
13
Sections
12,212
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 Kitagawa, Toru and Tetenov, Aleksey (self) 2018 8 5 14.0 0.059 1.000 100%
2 Susan Athey and Stefan Wager 2021 7 4 11.0 0.051 1.000 100%
3 Kitagawa, Toru and Lee, Sokbae and Qiu, Chen (self) 2022 4 3 6.0 0.029 0.928 100%
4 Atkinson, Anthony B 1970 4 3 7.0 0.029 0.928 100%
5 Newey, Whitney K 1994 5 4 6.0 0.037 0.843 60%
6 Eric Mbakop and Max Tabord-Meehan 2021 3 2 4.0 0.022 0.737 100%
7 Michael Kohler 2000 4 4 4.0 0.029 0.737 50%
8 Manski, Charles F 2022 2 2 3.0 0.015 0.644 100%
9 Hayashi, Takashi 2008 2 2 3.0 0.015 0.644 100%
10 Stoye, Jo 2011 2 2 3.0 0.015 0.644 100%
11 Vapnik, VN and Chervonenkis, A Ya 1971 2 2 3.0 0.015 0.644 100%
12 Vapnik, Vladimir and Chervonenkis, Alexey 1974 2 2 3.0 0.015 0.644 100%
13 Stone, Charles J 1982 2 2 3.0 0.015 0.644 100%
14 Manski, Charles F 2004 3 1 3.0 0.022 0.585 100%
15 Manski, Charles F 2000 3 1 3.0 0.022 0.585 100%
16 Manski, Charles F 2005 2 1 2.0 0.015 0.511 100%
17 Manski, Charles F 2007 2 1 2.0 0.015 0.511 100%
18 Manski, Charles F 2007 2 1 2.0 0.015 0.511 100%
19 Stoye, Jo 2012 2 1 2.0 0.015 0.511 100%
20 Kohei Yata 2021 2 1 2.0 0.015 0.511 100%
21 Manski, Charles F 2022 2 1 2.0 0.015 0.511 100%
22 Montiel Olea, Jose 2023 2 1 2.0 0.015 0.511 100%
23 Manski, Charles F 2009 2 1 2.0 0.015 0.511 100%
24 Chernozhukov, Victor and Chetverikov, Denis and De... 2018 2 1 4.0 0.015 0.511 100%
25 President's Council of Advisors on Science and Tec... 2008 1 1 1.0 0.007 0.406 100%
26 Abraham Wald 1950 1 1 1.0 0.007 0.406 100%
27 Kitagawa, Toru and Lee, Sokbae and Qiu, Chen (self) 2023 1 1 1.0 0.007 0.406 100%
28 Manski, Charles F and Tetenov, Aleksey 2007 1 1 1.0 0.007 0.406 100%
29 Kock, Anders Bredahl and Preinerstorfer, David and... 2022 1 1 1.0 0.007 0.406 100%
30 Kock, Anders Bredahl and Preinerstorfer, David and... 2023 1 1 1.0 0.007 0.406 100%
31 Munro, Evan 2023 1 1 1.0 0.007 0.406 100%
32 Chernozhukov, Victor and Newey, Whitney K and Sing... 2022 1 1 1.0 0.007 0.406 100%
33 Manski, Charles F 2002 1 1 1.0 0.007 0.406 100%
34 Dehejia 2005 1 1 1.0 0.007 0.406 100%
35 Schlag, Karl H 2006 1 1 1.0 0.007 0.406 100%
36 Stoye, Jo 2009 1 1 1.0 0.007 0.406 100%
37 Hirano, Keisuke and Porter, Jack R. 2009 1 1 1.0 0.007 0.406 100%
38 Tetenov, Aleksey 2012 1 1 1.0 0.007 0.406 100%
39 Masten, Matthew A 2023 1 1 1.0 0.007 0.406 100%
40 Chen, Haoning and Guggenberger, Patrik 2024 1 1 1.0 0.007 0.406 100%
41 Manski, Charles F and Tetenov, Aleksey 2023 1 1 1.0 0.007 0.406 100%
42 Guggenberger, Patrik and Mehta, Nihal and Pavlov, ... 2024 1 1 1.0 0.007 0.406 100%
43 T. Christensen and H.R. Moon and Frank Schorfheide 2020 1 1 1.0 0.007 0.406 100%
44 Takuya Ishihara and Toru Kitagawa (self) 2021 1 1 1.0 0.007 0.406 100%
45 Ishihara, Takuya 2023 1 1 1.0 0.007 0.406 100%
46 Debopam Bhattacharya and Pascaline Dupas 2012 1 1 1.0 0.007 0.406 100%
47 Kitagawa, Toru and Tetenov, Aleksey (self) 2021 1 1 1.0 0.007 0.406 100%
48 Sun, Liyang 2021 1 1 1.0 0.007 0.406 100%
49 Adjaho, Christopher and Christensen, Timothy 2022 1 1 1.0 0.007 0.406 100%
50 Han, Sukjin 2023 1 1 1.0 0.007 0.406 100%
51 Cui, Yifan and Han, Sukjin 2023 1 1 1.0 0.007 0.406 100%
52 Terschuur, Joe 2024 1 1 1.0 0.007 0.406 100%
53 Viviano, Davide 2024 1 1 1.0 0.007 0.406 100%
54 Viviano, Davide and Bradic, Jelena 2024 1 1 1.0 0.007 0.406 100%
55 Zhang, Tong 2004 1 1 1.0 0.007 0.406 100%
56 Bartlett, Peter L. and Jordan, Michael I. and McAu... 2006 1 1 1.0 0.007 0.406 100%
57 Toru Kitagawa and Shosei Sakaguchi and Aleksey Tet... (self) 2021 1 1 1.0 0.007 0.406 100%
58 Briggs, Andrew H 2022 1 1 2.0 0.007 0.406 100%
59 Manski, Charles F and Mullahy, John and Venkataram... 2023 1 1 2.0 0.007 0.406 100%
60 Tan, Xiaoqing and Qi, Zhengling and Seymour, Chris... 2022 1 1 2.0 0.007 0.406 100%
61 Crippa, Federico 2024 1 1 2.0 0.007 0.406 100%
62 Chernozhukov, Victor and Demirer, Mert and Duflo, ... 2024 1 1 2.0 0.007 0.406 100%
63 Manski, Charles F and Tetenov, Aleksey 2016 1 1 2.0 0.007 0.406 100%
64 Hainmueller, Jens 2012 1 1 2.0 0.007 0.406 100%
65 Zubizarreta, Jose 2015 1 1 2.0 0.007 0.406 100%
66 Athey, Susan and Imbens, Guido W and Wager, Stefan 2018 1 1 2.0 0.007 0.406 100%
67 Chen, Xiaohong and Pouzo, Demian 2012 1 1 2.0 0.007 0.406 100%
68 Qiu, Chen (self) 2022 1 1 2.0 0.007 0.406 100%
69 Velez, Amilcar 2024 1 1 2.0 0.007 0.406 100%
70 Chen, Xiaohong and Hong, Han and Tarozzi, Alessand... 2008 1 1 2.0 0.007 0.406 100%
71 Newey, Whitney K 1994 1 1 2.0 0.007 0.406 100%
72 Newey, Whitney K and Powell, James L and Vella, Fr... 1999 1 1 2.0 0.007 0.406 100%
73 Huang, Jianhua Z 2003 1 1 2.0 0.007 0.406 100%
74 Belloni, Alexandre and Chernozhukov, Victor and Ch... 2015 1 1 2.0 0.007 0.406 100%
75 Chen, Xiaohong and Christensen, Timothy M 2015 1 1 2.0 0.007 0.406 100%
76 Tsybakov, Alexander B 2004 1 1 2.0 0.007 0.406 100%
77 Newey, Whitney K 1997 1 1 2.0 0.007 0.406 100%
78 Ackerberg, Daniel and Chen, Xiaohong and Hahn, Jin... 2014 1 1 2.0 0.007 0.406 100%
79 Ai, Chunrong and Chen, Xiaohong 2003 1 1 2.0 0.007 0.406 100%
80 Chen, Xiaohong and Linton, Oliver and Van Keilegom... 2003 1 1 2.0 0.007 0.406 100%
81 Hirano, Keisuke and Imbens, Guido W and Ridder, Ge... 2003 1 1 2.0 0.007 0.406 100%
82 International Stroke Trial Collaborative Group 1997 1 1 2.0 0.007 0.406 100%
83 Yadlowsky, Steve and Fleming, Scott and Shah, Niga... 2025 1 1 2.0 0.007 0.406 100%
84 Gyo 2006 2 2 1.0 0.015 0.139 0%
85 Tropp, Joel A 2015 2 1 1.0 0.015 0.110 0%
86 van de Geer, Sara A 2000 1 1 0.5 0.007 0.087 0%
87 Chen, Richard Y and Gittens, Alex and Tropp, Joel ... 2012 1 1 0.5 0.007 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.

Citation intensity data generated from LaTeX source analysis.