Citation Analysis

Shrinkage-Based Regressions with Many Related Treatments
Enes Dilber, Colin Gray
https://arxiv.org/abs/2507.01202
12
Citation mentions
9
Cited references
5
Sections
2,517
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 Nie, Xinkun and Wager, Stefan 2017 2 2 3.0 0.167 0.644 100%
2 Chernozhukov, Victor and Chetverikov, Denis and De... 2016 2 1 2.0 0.167 0.511 100%
3 Chernozhukov, Victor and Hansen, Christian and Kal... 2024 2 1 2.0 0.167 0.511 100%
4 Athey, Susan and Imbens, Guido 2025 1 1 1.0 0.083 0.406 100%
5 Kennedy, Edward H 2020 1 1 1.0 0.083 0.406 100%
6 Künzel, Sören R. and Sekhon, Jasjeet S. and Bickel... 2019 1 1 1.0 0.083 0.406 100%
7 Mahajan, Divyat and Mitliagkas, Ioannis and Neal, ... 2022 1 1 1.0 0.083 0.406 100%
8 Gelman, A. and Carlin, J.B. and Stern, H.S. and Du... 2013 1 1 1.0 0.083 0.406 100%
9 Lal, Apoorva 2024 1 1 1.0 0.083 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.