Citation Analysis

Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
Xingyu Chen, Lin Liu, Rajarshi Mukherjee
https://arxiv.org/abs/2408.06103
194
Citation mentions
96
Cited references
17
Sections
14,660
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 8 3 16.0 0.041 1.000 100%
2 15 6 25.0 0.077 0.953 87%
3 12 7 21.0 0.062 0.941 83%
4 4 3 7.0 0.021 0.928 100%
5 5 3 8.5 0.026 0.928 80%
6 3 3 5.0 0.015 0.843 100%
7 3 3 5.0 0.015 0.843 100%
8 3 3 5.0 0.015 0.843 100%
9 3 3 6.0 0.015 0.843 100%
10 3 3 6.0 0.015 0.843 100%
11 4 4 6.5 0.021 0.843 75%
12 3 2 4.0 0.015 0.737 100%
13 3 2 4.0 0.015 0.737 100%
14 3 2 4.0 0.015 0.737 100%
15 3 2 4.0 0.015 0.737 100%
16 3 2 5.0 0.015 0.737 100%
17 3 3 3.5 0.015 0.737 67%
18 3 2 6.0 0.015 0.737 100%
19 3 3 4.5 0.015 0.737 67%
20 4 3 5.0 0.021 0.737 50%
21 2 2 3.0 0.010 0.644 100%
22 2 2 3.0 0.010 0.644 100%
23 2 2 3.0 0.010 0.644 100%
24 2 2 3.0 0.010 0.644 100%
25 2 2 3.0 0.010 0.644 100%
26 2 2 3.0 0.010 0.644 100%
27 2 2 3.0 0.010 0.644 100%
28 2 2 3.0 0.010 0.644 100%
29 2 2 3.0 0.010 0.644 100%
30 2 2 3.0 0.010 0.644 100%
31 2 2 3.0 0.010 0.644 100%
32 2 2 3.0 0.010 0.644 100%
33 2 2 3.0 0.010 0.644 100%
34 2 2 3.0 0.010 0.644 100%
35 2 2 3.0 0.010 0.644 100%
36 2 2 4.0 0.010 0.644 100%
37 2 2 4.0 0.010 0.644 100%
38 3 2 4.5 0.015 0.644 67%
39 2 2 4.0 0.010 0.644 100%
40 2 1 4.0 0.010 0.511 100%
41 4 2 3.5 0.021 0.511 25%
42 2 1 4.0 0.010 0.511 100%
43 1 1 1.0 0.005 0.406 100%
44 1 1 1.0 0.005 0.406 100%
45 1 1 1.0 0.005 0.406 100%
46 1 1 1.0 0.005 0.406 100%
47 1 1 1.0 0.005 0.406 100%
48 1 1 1.0 0.005 0.406 100%
49 1 1 1.0 0.005 0.406 100%
50 1 1 1.0 0.005 0.406 100%
51 1 1 1.0 0.005 0.406 100%
52 1 1 1.0 0.005 0.406 100%
53 1 1 1.0 0.005 0.406 100%
54 1 1 1.0 0.005 0.406 100%
55 1 1 1.0 0.005 0.406 100%
56 1 1 1.0 0.005 0.406 100%
57 1 1 1.0 0.005 0.406 100%
58 1 1 1.0 0.005 0.406 100%
59 1 1 2.0 0.005 0.406 100%
60 1 1 2.0 0.005 0.406 100%
61 1 1 2.0 0.005 0.406 100%
62 1 1 2.0 0.005 0.406 100%
63 1 1 2.0 0.005 0.406 100%
64 1 1 2.0 0.005 0.406 100%
65 1 1 2.0 0.005 0.406 100%
66 1 1 2.0 0.005 0.406 100%
67 1 1 2.0 0.005 0.406 100%
68 1 1 2.0 0.005 0.406 100%
69 1 1 2.0 0.005 0.406 100%
70 1 1 2.0 0.005 0.406 100%
71 1 1 2.0 0.005 0.406 100%
72 1 1 2.0 0.005 0.406 100%
73 1 1 2.0 0.005 0.406 100%
74 1 1 2.0 0.005 0.406 100%
75 1 1 2.0 0.005 0.406 100%
76 1 1 2.0 0.005 0.406 100%
77 1 1 2.0 0.005 0.406 100%
78 1 1 2.0 0.005 0.406 100%
79 1 1 2.0 0.005 0.406 100%
80 1 1 2.0 0.005 0.406 100%
81 1 1 2.0 0.005 0.406 100%
82 1 1 2.0 0.005 0.406 100%
83 1 1 2.0 0.005 0.406 100%
84 1 1 2.0 0.005 0.406 100%
85 1 1 2.0 0.005 0.406 100%
86 1 1 2.0 0.005 0.406 100%
87 1 1 2.0 0.005 0.406 100%
88 1 1 2.0 0.005 0.406 100%
89 1 1 2.0 0.005 0.406 100%
90 1 1 2.0 0.005 0.406 100%
91 1 1 2.0 0.005 0.406 100%
92 1 1 2.0 0.005 0.406 100%
93 3 1 1.5 0.015 0.126 0%
94 1 1 0.5 0.005 0.087 0%
95 1 1 0.5 0.005 0.087 0%
96 1 1 0.5 0.005 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.