This map shows the geographic impact of José Blanchet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by José Blanchet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Blanchet more than expected).
This network shows the impact of papers produced by José Blanchet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by José Blanchet. The network helps show where José Blanchet may publish in the future.
Co-authorship network of co-authors of José Blanchet
This figure shows the co-authorship network connecting the top 25 collaborators of José Blanchet.
A scholar is included among the top collaborators of José Blanchet based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with José Blanchet. José Blanchet is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhou, Zhengyuan, et al.. (2021). Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning. International Conference on Artificial Intelligence and Statistics. 3331–3339.7 indexed citations
6.
Li, Jiajin, et al.. (2021). Modified Frank Wolfe in Probability Space. Neural Information Processing Systems. 34.
7.
Blanchet, José, et al.. (2020). Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33. 21260–21270.4 indexed citations
8.
Zhang, Fan, et al.. (2020). Distributionally Robust Local Non-parametric Conditional Estimation. arXiv (Cornell University). 33. 1–15242.2 indexed citations
9.
Zhou, Zhengyuan, Renyuan Xu, & José Blanchet. (2019). Learning in Generalized Linear Contextual Bandits with Stochastic Delays. Neural Information Processing Systems. 32. 5197–5208.17 indexed citations
Blanchet, José & Henry Lam. (2013). UNIFORM LARGE DEVIATIONS FOR HEAVY-TAILED QUEUES UNDER HEAVY TRAFFIC. Boletín de la Sociedad Matemática Mexicana. 19(2). 183–199.
L’Ecuyer, Pierre, Bruno Tuffin, José Blanchet, & Peter W. Glynn. (2007). Asymptotic Robustness of Estimators in Rare-Event Simulation. HAL (Le Centre pour la Communication Scientifique Directe). 1–45.10 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.