Citation Analysis

Semiparametric Efficiency Gains From Parametric Restrictions on Propensity Scores
Haruki Kono
https://arxiv.org/abs/2306.04177
58
Citation mentions
25
Cited references
9
Sections
8,732
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 Chen, Xiaohong and Hong, Han and Tarozzi, Alessand... 2008 5 3 7.0 0.086 1.000 100%
2 Cattaneo, Matias D 2010 5 3 8.0 0.086 1.000 100%
3 Hahn, Jinyong 1998 11 6 15.5 0.190 0.969 91%
4 Lee, Ying-Ying 2018 11 5 14.5 0.190 0.969 91%
5 Bickel, PJ and Klaassen, CAJ and Ritov, Y and Well... 1993 3 3 3.5 0.052 0.737 67%
6 Firpo, Sergio 2007 2 2 3.0 0.034 0.644 100%
7 Fro 2004 2 2 3.0 0.034 0.644 100%
8 Hirano, Keisuke and Imbens, Guido W and Ridder, Ge... 2003 2 1 2.0 0.034 0.511 100%
9 Rosenbaum, Paul R and Rubin, Donald B 1983 1 1 1.0 0.017 0.406 100%
10 Rosenbaum, Paul R and Rubin, Donald B 1984 1 1 1.0 0.017 0.406 100%
11 Newey, Whitney K 1990 1 1 1.0 0.017 0.406 100%
12 Herren, Andrew and Hahn, P Richard 2023 1 1 1.0 0.017 0.406 100%
13 Imbens, Guido W 2000 1 1 1.0 0.017 0.406 100%
14 Farrell, Max H 2015 1 1 1.0 0.017 0.406 100%
15 Yang, Shu and Imbens, Guido W and Cui, Zhanglin an... 2016 1 1 1.0 0.017 0.406 100%
16 Imai, Kosuke and Van Dyk, David A 2004 1 1 1.0 0.017 0.406 100%
17 Chong, Alberto and Cohen, Isabelle and Field, Eric... 2016 1 1 1.0 0.017 0.406 100%
18 Bugni, Federico A and Canay, Ivan A and Shaikh, Az... 2019 1 1 1.0 0.017 0.406 100%
19 Hong, Han and Leung, Michael P and Li, Jessie 2020 1 1 1.0 0.017 0.406 100%
20 Cytrynbaum, Max 2021 1 1 1.0 0.017 0.406 100%
21 Tabord-Meehan, Max 2023 1 1 1.0 0.017 0.406 100%
22 Bai, Yuehao and Liu, Jizhou and Shaikh, Azeem M an... 2024 1 1 1.0 0.017 0.406 100%
23 Chen, Xiaohong 2007 1 1 1.0 0.017 0.406 100%
24 Chernozhukov, Victor and Chetverikov, Denis and De... 2018 1 1 2.0 0.017 0.406 100%
25 Chernozhukov, Victor and Escanciano, Juan Carlos a... 2022 1 1 2.0 0.017 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.