Citation Analysis

Adaptive Experimental Design for Policy Learning
Masahiro Kato, Kyohei Okumura, Takuya Ishihara, Toru Kitagawa
https://arxiv.org/abs/2401.03756
196
Citation mentions
101
Cited references
13
Sections
4,153
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 5 5 6.5 0.026 0.928 80%
2 6 5 7.0 0.031 0.874 67%
3 3 3 5.0 0.015 0.843 100%
4 3 3 2.5 0.015 0.737 67%
5 3 3 3.5 0.015 0.737 67%
6 6 4 4.0 0.031 0.693 33%
7 10 3 6.5 0.051 0.669 30%
8 2 2 4.0 0.010 0.644 100%
9 2 2 4.0 0.010 0.644 100%
10 4 2 3.0 0.020 0.644 50%
11 3 1 3.0 0.015 0.585 100%
12 10 2 6.5 0.051 0.585 30%
13 3 3 3.0 0.015 0.585 33%
14 2 2 1.5 0.010 0.511 50%
15 3 2 2.0 0.015 0.511 33%
16 2 2 1.5 0.010 0.511 50%
17 5 2 3.0 0.026 0.511 20%
18 2 2 1.5 0.010 0.511 50%
19 3 2 2.0 0.015 0.511 33%
20 3 2 2.0 0.015 0.511 33%
21 3 2 2.0 0.015 0.511 33%
22 2 2 1.5 0.010 0.511 50%
23 2 2 2.5 0.010 0.511 50%
24 3 2 2.0 0.015 0.511 33%
25 2 2 1.5 0.010 0.511 50%
26 2 2 1.5 0.010 0.511 50%
27 1 1 1.0 0.005 0.406 100%
28 1 1 1.0 0.005 0.406 100%
29 1 1 1.0 0.005 0.406 100%
30 1 1 1.0 0.005 0.406 100%
31 1 1 1.0 0.005 0.406 100%
32 1 1 2.0 0.005 0.406 100%
33 1 1 2.0 0.005 0.406 100%
34 1 1 2.0 0.005 0.406 100%
35 1 1 2.0 0.005 0.406 100%
36 1 1 2.0 0.005 0.406 100%
37 1 1 1.0 0.005 0.406 100%
38 1 1 1.0 0.005 0.406 100%
39 1 1 1.0 0.005 0.406 100%
40 17 8 9.0 0.087 0.389 6%
41 2 1 1.0 0.010 0.110 0%
42 2 1 1.0 0.010 0.110 0%
43 2 1 1.0 0.010 0.110 0%
44 2 1 1.0 0.010 0.110 0%
45 2 1 1.0 0.010 0.110 0%
46 2 1 1.0 0.010 0.110 0%
47 2 1 1.0 0.010 0.110 0%
48 2 1 1.0 0.010 0.110 0%
49 2 1 1.0 0.010 0.110 0%
50 2 1 1.0 0.010 0.110 0%
51 2 1 1.0 0.010 0.110 0%
52 1 1 0.5 0.005 0.087 0%
53 1 1 0.5 0.005 0.087 0%
54 1 1 0.5 0.005 0.087 0%
55 1 1 0.5 0.005 0.087 0%
56 1 1 0.5 0.005 0.087 0%
57 1 1 0.5 0.005 0.087 0%
58 1 1 0.5 0.005 0.087 0%
59 1 1 0.5 0.005 0.087 0%
60 1 1 0.5 0.005 0.087 0%
61 1 1 0.5 0.005 0.087 0%
62 1 1 0.5 0.005 0.087 0%
63 1 1 0.5 0.005 0.087 0%
64 1 1 0.5 0.005 0.087 0%
65 1 1 0.5 0.005 0.087 0%
66 1 1 0.5 0.005 0.087 0%
67 1 1 0.5 0.005 0.087 0%
68 1 1 0.5 0.005 0.087 0%
69 1 1 0.5 0.005 0.087 0%
70 1 1 0.5 0.005 0.087 0%
71 1 1 0.5 0.005 0.087 0%
72 1 1 0.5 0.005 0.087 0%
73 1 1 0.5 0.005 0.087 0%
74 1 1 0.5 0.005 0.087 0%
75 1 1 0.5 0.005 0.087 0%
76 1 1 0.5 0.005 0.087 0%
77 1 1 0.5 0.005 0.087 0%
78 1 1 0.5 0.005 0.087 0%
79 1 1 0.5 0.005 0.087 0%
80 1 1 0.5 0.005 0.087 0%
81 1 1 0.5 0.005 0.087 0%
82 1 1 0.5 0.005 0.087 0%
83 1 1 0.5 0.005 0.087 0%
84 1 1 0.5 0.005 0.087 0%
85 1 1 0.5 0.005 0.087 0%
86 1 1 0.5 0.005 0.087 0%
87 1 1 0.5 0.005 0.087 0%
88 1 1 0.5 0.005 0.087 0%
89 1 1 0.5 0.005 0.087 0%
90 1 1 0.5 0.005 0.087 0%
91 1 1 0.5 0.005 0.087 0%
92 1 1 0.5 0.005 0.087 0%
93 1 1 0.5 0.005 0.087 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%
97 1 1 0.5 0.005 0.087 0%
98 1 1 0.5 0.005 0.087 0%
99 1 1 0.5 0.005 0.087 0%
100 1 1 0.5 0.005 0.087 0%
101 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.