Citation Analysis

Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
Masahiro Kato
https://arxiv.org/abs/2510.24433
59
Citation mentions
23
Cited references
7
Sections
2,214
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 23 8 40.0 0.390 0.970 91%
2 5 3 7.0 0.085 0.928 80%
3 4 3 5.0 0.068 0.843 75%
4 3 3 4.0 0.051 0.737 67%
5 3 3 4.0 0.051 0.737 67%
6 2 2 4.0 0.034 0.644 100%
7 3 1 6.0 0.051 0.585 100%
8 1 1 2.0 0.017 0.406 100%
9 1 1 2.0 0.017 0.406 100%
10 1 1 2.0 0.017 0.406 100%
11 1 1 2.0 0.017 0.406 100%
12 1 1 2.0 0.017 0.406 100%
13 1 1 2.0 0.017 0.406 100%
14 1 1 2.0 0.017 0.406 100%
15 1 1 2.0 0.017 0.406 100%
16 1 1 2.0 0.017 0.406 100%
17 1 1 2.0 0.017 0.406 100%
18 1 1 2.0 0.017 0.406 100%
19 1 1 2.0 0.017 0.406 100%
20 1 1 2.0 0.017 0.406 100%
21 1 1 2.0 0.017 0.406 100%
22 1 1 2.0 0.017 0.406 100%
23 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.