Citation Analysis

\textbfA Systematic Paradigm for Detecting, Surfacing, and Characterizing Heterogeneous Treatment Effects (HTE)
John Cai, Weinan Wang
https://arxiv.org/abs/2211.01547
18
Citation mentions
11
Cited references
5
Sections
2,747
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 Ding, Peng and Feller, Avi and Miratrix, Luke 2019 6 3 9.0 0.333 1.000 100%
2 Ding, Peng and Feller, Avi and Miratrix, Luke 2016 3 2 3.0 0.167 0.737 100%
3 Chang, Minsu and Lee, Sokbae and Whang, Yoon-Jae 2015 1 1 0.5 0.056 0.406 100%
4 Crump, Richard K and Hotz, V Joseph and Imbens, Gu... 2008 1 1 0.5 0.056 0.406 100%
5 Rosenbaum, Paul R 2002 1 1 0.5 0.056 0.406 100%
6 Fan, Yanqin and Park, Sang Soo 2010 1 1 0.5 0.056 0.406 100%
7 Heckman, James J and Smith, Jeffrey and Clements, ... 1997 1 1 0.5 0.056 0.406 100%
8 Cox, David R 1984 1 1 2.0 0.056 0.406 100%
9 Benjamini, Yoav and Hochberg, Yosef 1995 1 1 2.0 0.056 0.406 100%
10 Aronow, Peter M and Green, Donald P and Lee, Donal... 2014 1 1 2.0 0.056 0.406 100%
11 Hilbe, Joseph M 2011 1 1 2.0 0.056 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.