Citation Analysis

\textbfRegressing on distributions: The nonlinear effect of temperature on regional economic growth
Malte Jahn
https://arxiv.org/abs/2309.10481
32
Citation mentions
11
Cited references
6
Sections
4,511
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 Dell M., Jones B.F., Olken B.A 2012 5 3 7.0 0.156 1.000 100%
2 Burke M., Hsiang S.M., Miguel E 2015 8 5 12.0 0.250 1.000 100%
3 Kalkuhl, M., Wenz, L 2020 6 5 9.0 0.188 1.000 100%
4 Holtermann L., Rische M.C 2020 4 4 6.0 0.125 0.928 100%
5 Baltagi B.H 2021 2 1 4.0 0.062 0.511 100%
6 Jahn M 2020 2 1 4.0 0.062 0.511 100%
7 Hsiang, S 2016 1 1 1.0 0.031 0.406 100%
8 Cornes R., van der Schrier G., van den Besselaar E... 2018 1 1 2.0 0.031 0.406 100%
9 Feng L., Zhang J 2014 1 1 2.0 0.031 0.406 100%
10 Kock, A.B., Teräsvirta, T 2014 1 1 2.0 0.031 0.406 100%
11 Rivals, I., Personnaz, L 2000 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.