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Citation Analysis

\textbfEvaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies
Fabian Muny
https://arxiv.org/abs/2506.11960
145
Citation mentions
71
Cited references
11
Sections
10,814
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 6 4 11.0 0.041 1.000 100%
2 16 8 30.0 0.110 1.000 100%
3 7 5 13.0 0.048 1.000 100%
4 5 5 10.0 0.034 1.000 100%
5 4 3 7.0 0.028 0.928 100%
6 4 3 8.0 0.028 0.928 100%
7 3 3 5.0 0.021 0.843 100%
8 3 3 5.0 0.021 0.843 100%
9 3 3 5.0 0.021 0.843 100%
10 3 3 5.0 0.021 0.843 100%
11 3 3 4.0 0.021 0.843 100%
12 3 3 6.0 0.021 0.843 100%
13 3 3 6.0 0.021 0.843 100%
14 3 3 6.0 0.021 0.843 100%
15 3 3 6.0 0.021 0.843 100%
16 4 2 8.0 0.028 0.811 100%
17 3 2 5.0 0.021 0.737 100%
18 3 2 3.0 0.021 0.737 100%
19 3 2 6.0 0.021 0.737 100%
20 3 2 6.0 0.021 0.737 100%
21 3 2 6.0 0.021 0.737 100%
22 2 2 3.0 0.014 0.644 100%
23 2 2 4.0 0.014 0.644 100%
24 2 2 4.0 0.014 0.644 100%
25 2 1 4.0 0.014 0.511 100%
26 2 1 4.0 0.014 0.511 100%
27 2 1 4.0 0.014 0.511 100%
28 2 1 4.0 0.014 0.511 100%
29 1 1 1.0 0.007 0.406 100%
30 1 1 1.0 0.007 0.406 100%
31 1 1 1.0 0.007 0.406 100%
32 1 1 1.0 0.007 0.406 100%
33 1 1 1.0 0.007 0.406 100%
34 1 1 1.0 0.007 0.406 100%
35 1 1 1.0 0.007 0.406 100%
36 1 1 1.0 0.007 0.406 100%
37 1 1 1.0 0.007 0.406 100%
38 1 1 1.0 0.007 0.406 100%
39 1 1 2.0 0.007 0.406 100%
40 1 1 2.0 0.007 0.406 100%
41 1 1 2.0 0.007 0.406 100%
42 1 1 2.0 0.007 0.406 100%
43 1 1 2.0 0.007 0.406 100%
44 1 1 2.0 0.007 0.406 100%
45 1 1 2.0 0.007 0.406 100%
46 1 1 2.0 0.007 0.406 100%
47 1 1 2.0 0.007 0.406 100%
48 1 1 1.0 0.007 0.406 100%
49 1 1 1.0 0.007 0.406 100%
50 1 1 1.0 0.007 0.406 100%
51 1 1 1.0 0.007 0.406 100%
52 1 1 1.0 0.007 0.406 100%
53 1 1 1.0 0.007 0.406 100%
54 1 1 1.0 0.007 0.406 100%
55 1 1 2.0 0.007 0.406 100%
56 1 1 2.0 0.007 0.406 100%
57 1 1 2.0 0.007 0.406 100%
58 1 1 2.0 0.007 0.406 100%
59 1 1 2.0 0.007 0.406 100%
60 1 1 2.0 0.007 0.406 100%
61 1 1 2.0 0.007 0.406 100%
62 1 1 2.0 0.007 0.406 100%
63 1 1 2.0 0.007 0.406 100%
64 1 1 2.0 0.007 0.406 100%
65 1 1 2.0 0.007 0.406 100%
66 1 1 2.0 0.007 0.406 100%
67 1 1 2.0 0.007 0.406 100%
68 1 1 2.0 0.007 0.406 100%
69 1 1 2.0 0.007 0.406 100%
70 1 1 2.0 0.007 0.406 100%
71 1 1 2.0 0.007 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.

Citation intensity data generated from LaTeX source analysis.