Citation Analysis

Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023) \bigskip
Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu
https://arxiv.org/abs/2305.10934
30
Citation mentions
12
Cited references
7
Sections
2,607
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 Barseghyan and Molinari 2023 19 7 29.0 0.633 0.982 95%
2 Barseghyan, Molinari, and Thirkettle 2021 1 1 1.0 0.033 0.406 100%
3 Cattaneo, Ma, Masatlioglu, and Suleymanov (self) 2020 1 1 1.0 0.033 0.406 100%
4 Barseghyan, Coughlin, Molinari, and Teitelbaum 2021 1 1 1.0 0.033 0.406 100%
5 Cattaneo, Cheung, Ma, and Masatlioglu (self) 2023 1 1 1.0 0.033 0.406 100%
6 Camerer 1995 1 1 1.0 0.033 0.406 100%
7 Camerer 1998 1 1 1.0 0.033 0.406 100%
8 Markowitz 1952 1 1 1.0 0.033 0.406 100%
9 Tversky and Kahneman 1992 1 1 1.0 0.033 0.406 100%
10 MacCrimmon and Wehrung 1986 1 1 1.0 0.033 0.406 100%
11 MacCrimmon and Wehrung 1990 1 1 1.0 0.033 0.406 100%
12 Weber, Blais, and Betz 2002 1 1 1.0 0.033 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.