Citation Analysis

Identification and estimation of treatment effects in a linear factor model with fixed number of time periods
Koki Fusejima, Takuya Ishihara
https://arxiv.org/abs/2503.21763
33
Citation mentions
16
Cited references
10
Sections
10,276
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 Imbens, Guido and Kallus, Nathan and Mao, Xiaojie 2021 6 4 9.0 0.182 1.000 100%
2 Brown, Nicholas and Butts, Kyle 2023 7 2 11.0 0.212 0.874 100%
3 Callaway, Brantly and Karami, Sonia 2022 4 2 5.0 0.121 0.811 100%
4 Ahn, Seung C and Lee, Young H and Schmidt, Peter 2013 3 1 3.0 0.091 0.585 100%
5 Ben-Israel, Adi and Greville, Thomas NE 2003 2 1 4.0 0.061 0.511 100%
6 Callaway, Brantly 2023 1 1 1.0 0.030 0.406 100%
7 Abadie, Alberto and Gardeazabal, Javier 2003 1 1 1.0 0.030 0.406 100%
8 Abadie, Alberto and Diamond, Alexis and Hainmuelle... 2010 1 1 1.0 0.030 0.406 100%
9 Abadie, Alberto and Diamond, Alexis and Hainmuelle... 2015 1 1 1.0 0.030 0.406 100%
10 Abadie, Alberto 2021 1 1 1.0 0.030 0.406 100%
11 Doudchenko, Nikolay and Imbens, Guido W 2016 1 1 1.0 0.030 0.406 100%
12 Gobillon, Laurent and Magnac, Thierry 2016 1 1 2.0 0.030 0.406 100%
13 Freyberger, Joachim 2018 1 1 2.0 0.030 0.406 100%
14 Stewart, GW 1969 1 1 2.0 0.030 0.406 100%
15 Hoerl, Arthur E and Kennard, Robert W 1970 1 1 2.0 0.030 0.406 100%
16 Ferman, Bruno and Pinto, Cristine and Possebom, Vi... 2020 1 1 2.0 0.030 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.