Citation Analysis

Testing for Grouped Patterns in Panel Data Models
Antonio Raiola, Nazarii Salish
https://arxiv.org/abs/2510.22841
32
Citation mentions
15
Cited references
10
Sections
4,807
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 Lu, Xun and Su, Liangjun 2017 5 4 8.0 0.156 1.000 100%
2 Pesaran, M Hashem and Yamagata, Takashi 2008 5 2 7.0 0.156 0.874 100%
3 Breitung, Jo 2016 4 2 5.0 0.125 0.811 100%
4 Su, Liangjun and Chen, Qihui 2013 4 2 5.0 0.125 0.811 100%
5 Bonhomme, Ste 2015 2 2 3.0 0.062 0.644 100%
6 Su, Liangjun and Shi, Zhentao and Phillips, Peter ... 2016 2 2 3.0 0.062 0.644 100%
7 Swamy, Paravastu AVB 1970 2 2 3.0 0.062 0.644 100%
8 Bester, C Alan and Hansen, Christian B 2016 1 1 1.0 0.031 0.406 100%
9 Dzemski, Andreas and Okui, Ryo 2024 1 1 1.0 0.031 0.406 100%
10 Breusch, Trevor S and Pagan, Adrian R 1979 1 1 1.0 0.031 0.406 100%
11 Hsiao, Cheng 2003 1 1 1.0 0.031 0.406 100%
12 Juhl, Ted and Lugovskyy, Oleksandr 2014 1 1 1.0 0.031 0.406 100%
13 Blomquist, Johan and Westerlund, Joakim 2013 1 1 2.0 0.031 0.406 100%
14 Ando, Tomohiro and Bai, Jushan 2015 1 1 2.0 0.031 0.406 100%
15 Arellano, Manuel and Bover, Olympia 1995 1 1 2.0 0.031 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.