Citation Analysis

Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
Yu Xia, Sriram Narayanamoorthy, Zhengyuan Zhou, Joshua Mabry
https://arxiv.org/abs/2405.10469
25
Citation mentions
20
Cited references
11
Sections
3,305
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 Xia, Yu and Arian, Ali and Narayanamoorthy, Sriram... (self) 2023 4 4 5.5 0.160 0.843 75%
2 Akiba, Takuya and Sano, Shotaro and Yanase, Toshih... 2019 3 3 3.0 0.120 0.585 33%
3 Ray Perrault and Jack Clark 2024 1 1 1.0 0.040 0.406 100%
4 Katsov, Ilya 2017 1 1 1.0 0.040 0.406 100%
5 Bernardi, Lucas and Batra, Sakshi and Bruscantini,... 2021 1 1 1.0 0.040 0.406 100%
6 Serth, Sebastian and Podlesny, Nikolai and Bornste... 2017 1 1 1.0 0.040 0.406 100%
7 Santana, Marlesson R. O. and Melo, Luckeciano C. a... 2020 1 1 1.0 0.040 0.406 100%
8 Ie, Eugene and Hsu, Chih-wei and Mladenov, Martin ... 2019 1 1 1.0 0.040 0.406 100%
9 Fei, George 2021 1 1 1.0 0.040 0.406 100%
10 Kangas, Ioannis and Schwoerer, Maud and Bernardi, ... 2021 1 1 1.0 0.040 0.406 100%
11 Glynn, Patric 2018 1 1 1.0 0.040 0.406 100%
12 Sameer Kanase and Yan Zhao and Shenghe Xu and Mitc... 2022 1 1 1.0 0.040 0.406 100%
13 Treybig, Davis 2022 1 1 1.0 0.040 0.406 100%
14 Dunnhumby 2014 1 1 2.0 0.040 0.406 100%
15 Zhu, Zheqing and Braz, Rodrigo de Salvo and Bhanda... 2023 1 1 2.0 0.040 0.406 100%
16 Phan, Du and Pradhan, Neeraj and Jankowiak, Martin 2019 1 1 2.0 0.040 0.406 100%
17 Sergio Guadarrama and Anoop Korattikara and Oscar ... 1 1 2.0 0.040 0.406 100%
18 Amazon Web Services 2023 1 1 2.0 0.040 0.406 100%
19 Amazon Web Services 2023 1 1 2.0 0.040 0.406 100%
20 Kraskov, Alexander and Stögbauer, Harald and Grass... 2004 1 1 0.5 0.040 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.