Citation Analysis

Large-Scale Allocation of Personalized Incentives
Lucas Javaudin, Andrea Araldo, André de Palma
https://arxiv.org/abs/2210.00463
19
Citation mentions
12
Cited references
7
Sections
4,403
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 Kellerer, Hans and others 2004 6 3 12.0 0.316 1.000 100%
2 Javaudin, Lucas (self) 2022 3 3 5.0 0.158 0.843 100%
3 Clarke, Amanda and Margetts, Helen 2014 1 1 1.0 0.053 0.406 100%
4 Sun, Jian and others 2020 1 1 1.0 0.053 0.406 100%
5 Tang, Yili and Jiang, Yu and Yang, Hai and Nielsen... 2020 1 1 1.0 0.053 0.406 100%
6 Araldo, A. and Ben-Akiva, M. and others (self) 2019 1 1 1.0 0.053 0.406 100%
7 Colorni, Alberto and others 2017 1 1 1.0 0.053 0.406 100%
8 Araldo, A. and others (self) 2020 1 1 1.0 0.053 0.406 100%
9 Zoltners, Andris A. and others 1979 1 1 2.0 0.053 0.406 100%
10 Anderson, Simon P and de Palma, Andre and Thisse, ... (self) 1992 1 1 2.0 0.053 0.406 100%
11 1 1 2.0 0.053 0.406 100%
12 Quinet, Alain and others 2009 1 1 2.0 0.053 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.