Countries citing papers authored by Alexandra Carpentier
Since
Specialization
Citations
This map shows the geographic impact of Alexandra Carpentier'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 Alexandra Carpentier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Carpentier more than expected).
Fields of papers citing papers by Alexandra Carpentier
This network shows the impact of papers produced by Alexandra Carpentier. 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 Alexandra Carpentier. The network helps show where Alexandra Carpentier may publish in the future.
Co-authorship network of co-authors of Alexandra Carpentier
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Carpentier.
A scholar is included among the top collaborators of Alexandra Carpentier 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 Alexandra Carpentier. Alexandra Carpentier is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Locatelli, Andrea, et al.. (2019). Rotting bandits are no harder than stochastic ones. International Conference on Artificial Intelligence and Statistics. 2564–2572.5 indexed citations
Vernade, Claire, et al.. (2018). Contextual Bandits under Delayed Feedback.. arXiv (Cornell University).
8.
Locatelli, Andrea & Alexandra Carpentier. (2018). Adaptivity to Smoothness in X-armed bandits. Conference on Learning Theory. 1463–1492.7 indexed citations
Locatelli, Andrea, Alexandra Carpentier, & Samory Kpotufe. (2017). Adaptivity to Noise Parameters in Nonparametric Active Learning. Conference on Learning Theory. 1383–1416.4 indexed citations
11.
Ghoshdastidar, Debarghya, et al.. (2017). Two-sample tests for large random graphs using network statistics. Conference on Learning Theory. 954–977.1 indexed citations
12.
Carpentier, Alexandra, et al.. (2016). Learning Relationships between Data Obtained Independently. International Conference on Artificial Intelligence and Statistics. 658–666.3 indexed citations
13.
Carpentier, Alexandra & Andrea Locatelli. (2016). Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem. Conference on Learning Theory. 590–604.7 indexed citations
14.
Locatelli, Andrea, et al.. (2016). An optimal algorithm for the thresholding bandit problem. International Conference on Machine Learning. 1690–1698.6 indexed citations
15.
Carpentier, Alexandra & Michal Vaľko. (2014). Extreme bandits. Neural Information Processing Systems. 27. 1089–1097.10 indexed citations
16.
Carpentier, Alexandra, et al.. (2013). Honest and adaptive confidence interval for the tail coefficient in the Pareto model. arXiv (Cornell University).3 indexed citations
Carpentier, Alexandra & Rémi Munos. (2011). Finite Time Analysis of Stratified Sampling for Monte Carlo. HAL (Le Centre pour la Communication Scientifique Directe). 24. 1278–1286.6 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.