Citation Analysis

\Large \textbfHigh-dimensional Penalized Linear IV Estimation & Inference using BRIDGE and Adaptive LASSO
Eleftheria Kelekidou
https://arxiv.org/abs/2512.00265
24
Citation mentions
22
Cited references
1
Sections
4,912
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 2 2 4.0 0.083 0.644 100%
2 2 1 4.0 0.083 0.511 100%
3 1 1 2.0 0.042 0.406 100%
4 1 1 2.0 0.042 0.406 100%
5 1 1 2.0 0.042 0.406 100%
6 1 1 2.0 0.042 0.406 100%
7 1 1 1.0 0.042 0.087 0%
8 1 1 1.0 0.042 0.087 0%
9 1 1 1.0 0.042 0.087 0%
10 1 1 1.0 0.042 0.087 0%
11 1 1 1.0 0.042 0.087 0%
12 1 1 1.0 0.042 0.087 0%
13 1 1 1.0 0.042 0.087 0%
14 1 1 1.0 0.042 0.087 0%
15 1 1 1.0 0.042 0.087 0%
16 1 1 1.0 0.042 0.087 0%
17 1 1 1.0 0.042 0.087 0%
18 1 1 1.0 0.042 0.087 0%
19 1 1 1.0 0.042 0.087 0%
20 1 1 1.0 0.042 0.087 0%
21 1 1 1.0 0.042 0.087 0%
22 1 1 1.0 0.042 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.