Citation Analysis

Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis
Darjus Hosszejni, Sylvia Frühwirth-Schnatter
https://arxiv.org/abs/2211.00671
84
Citation mentions
32
Cited references
6
Sections
7,569
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 10 4 16.0 0.119 1.000 100%
2 8 3 13.0 0.095 1.000 100%
3 6 3 8.0 0.071 1.000 100%
4 6 3 10.0 0.071 1.000 100%
5 6 3 12.0 0.071 1.000 100%
6 4 3 6.0 0.048 0.928 100%
7 5 2 9.0 0.060 0.874 100%
8 4 2 8.0 0.048 0.811 100%
9 3 2 5.0 0.036 0.737 100%
10 2 2 3.0 0.024 0.644 100%
11 2 2 3.0 0.024 0.644 100%
12 2 2 3.0 0.024 0.644 100%
13 2 2 3.0 0.024 0.644 100%
14 2 1 2.0 0.024 0.511 100%
15 2 1 2.0 0.024 0.511 100%
16 2 1 4.0 0.024 0.511 100%
17 2 1 4.0 0.024 0.511 100%
18 2 1 4.0 0.024 0.511 100%
19 1 1 1.0 0.012 0.406 100%
20 1 1 1.0 0.012 0.406 100%
21 1 1 1.0 0.012 0.406 100%
22 1 1 1.0 0.012 0.406 100%
23 1 1 1.0 0.012 0.406 100%
24 1 1 1.0 0.012 0.406 100%
25 1 1 1.0 0.012 0.406 100%
26 1 1 1.0 0.012 0.406 100%
27 1 1 1.0 0.012 0.406 100%
28 1 1 1.0 0.012 0.406 100%
29 1 1 1.0 0.012 0.406 100%
30 1 1 2.0 0.012 0.406 100%
31 1 1 2.0 0.012 0.406 100%
32 1 1 2.0 0.012 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.