Citation Analysis

When is $p$-hacking detectable?
Stefan Faridani
https://arxiv.org/abs/2506.20035
46
Citation mentions
16
Cited references
9
Sections
4,691
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 Nikolay Kudrin 2024 5 3 8.0 0.109 1.000 100%
2 Brodeur, Abel and Cook, Nikolai and Heyes, Anthony 2020 9 3 15.0 0.196 0.962 89%
3 Graham Elliott and Nikolay Kudrin and Kaspar Wüthr... 2024 4 3 7.0 0.087 0.928 100%
4 Elliott, Graham and Kudrin, Nikolay and Wüthrich, ... 2022 14 2 23.0 0.304 0.874 100%
5 Andrews, Isaiah and Kasey, Maximilian 2019 2 2 4.0 0.043 0.644 100%
6 Bartolomeo Stellato and Goran Banjac and Paul Goul... 2024 2 2 4.0 0.043 0.644 100%
7 Simonsohn, Uri and Nelson Leif and Simmons, Joseph... 2014 1 1 1.0 0.022 0.406 100%
8 Head, M and Holman, L and Lanfear, L and Kahn, A a... 2015 1 1 1.0 0.022 0.406 100%
9 Brodeur, Abel and Lé, Mathias and Sangnier, Marc a... 2016 1 1 1.0 0.022 0.406 100%
10 Dominika Ehrenbergerova and Josef Bajzik and Tomas... 1 1 1.0 0.022 0.406 100%
11 Kudrin, Nikolay 2023 1 1 1.0 0.022 0.406 100%
12 Havranek, Tomas and Irsova, Zuzana and Laslopova, ... 2024 1 1 1.0 0.022 0.406 100%
13 Marine Carrasco and Jean-Pierre Florens 2011 1 1 2.0 0.022 0.406 100%
14 Stefan Faridani (self) 2025 1 1 2.0 0.022 0.406 100%
15 Jack Indritz 1961 1 1 0.5 0.022 0.087 0%
16 Ushakov, V. G. 2012 1 1 0.5 0.022 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.