Citation Analysis

Dyadic data with ordered outcome variables
Chris Muris, Cavit Pakel, Qichen Zhang
https://arxiv.org/abs/2507.16689
43
Citation mentions
15
Cited references
9
Sections
10,476
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 Muris (self) 2017 5 3 9.0 0.116 1.000 100%
2 Jochmans 2018 13 8 19.0 0.302 0.885 69%
3 Charbonneau 2017 3 3 5.0 0.070 0.843 100%
4 Van\bibnamedelima Duijn, Gile, Handcock 2009 3 2 4.0 0.070 0.737 100%
5 Botosaru, Muris, Pendakur (self) 2023 3 2 5.0 0.070 0.737 100%
6 Baetschmann 2012 3 2 6.0 0.070 0.737 100%
7 Das, van Soest 1999 2 2 3.0 0.047 0.644 100%
8 Johnson 2004 2 2 3.0 0.047 0.644 100%
9 Baetschmann, Staub, Winkelmann 2015 2 2 3.0 0.047 0.644 100%
10 Graham 2017 2 2 3.0 0.047 0.644 100%
11 Lai, Reiter 2000 1 1 1.0 0.023 0.406 100%
12 Dzemski 2019 1 1 1.0 0.023 0.406 100%
13 Hughes 2023 1 1 1.0 0.023 0.406 100%
14 Szini 2025 1 1 1.0 0.023 0.406 100%
15 Abrevaya, Muris (self) 2020 1 1 2.0 0.023 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.