Citation Analysis

An MPEC Estimator for the Sequential Search Model
Shinji Koiso, Suguru Otani
https://arxiv.org/abs/2409.04378
24
Citation mentions
9
Cited references
7
Sections
2,070
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 Ursu, Raluca and Seiler, Stephan and Honka, Elisab... 2023 9 5 14.5 0.375 0.962 89%
2 Weitzman, Martin L 1979 4 3 7.0 0.167 0.928 100%
3 Su, Che-Lin and Judd, Kenneth L 2012 3 2 4.0 0.125 0.737 100%
4 Lu, Ruichang and Luo, Yao and Xiao, Ruli 2014 2 2 3.0 0.083 0.644 100%
5 Kim, Jun B and Albuquerque, Paulo and Bronnenberg,... 2010 2 1 4.0 0.083 0.511 100%
6 Dube 2012 1 1 1.0 0.042 0.406 100%
7 Jiang, Zhenling and Chan, Tat and Che, Hai and Wan... 2021 1 1 2.0 0.042 0.406 100%
8 Elberg, Andre 2019 1 1 2.0 0.042 0.406 100%
9 Morozov, Ilya 2023 1 1 2.0 0.042 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.