Aurélien Bibaut
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Advanced Causal Inference Techniques 4
- Statistical Methods and Inference 2
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- Advanced Bandit Algorithms Research 5
- Simulation Techniques and Applications 1
- Co-authors
- Mark J. van der Laan (5 shared papers)Cheng Ju (1 shared paper)Nathan Kallus (6 shared papers)Antoine Chambaz (3 shared papers)Tony Jebara (1 shared paper)Ricardo Andrade-Pacheco (1 shared paper)Aboulaye Meïté (1 shared paper)Nikos A. Vlassis (1 shared paper)
- Journals
- Annual Review of Statistics and Its Application (1 paper)International Journal of Industrial Organization (1 paper)Scientific Reports (1 paper)Computational Statistics (1 paper)Journal of Applied Statistics (1 paper)
- Partner nations
- United StatesFrancePhilippines
In The Last Decade
Aurélien Bibaut
9 papers receiving 334 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 12
- Computer Vision and Pattern Recognition 86
- Artificial Intelligence 94
- Radiology, Nuclear Medicine and Imaging 34
- Statistics and Probability 17
Countries citing papers authored by Aurélien Bibaut
This map shows the geographic impact of Aurélien Bibaut'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 Aurélien Bibaut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Bibaut more than expected).
Fields of papers citing papers by Aurélien Bibaut
This network shows the impact of papers produced by Aurélien Bibaut. 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 Aurélien Bibaut. The network helps show where Aurélien Bibaut may publish in the future.
Co-authors
The 17 scholars most cited alongside Aurélien Bibaut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 295 | |
| 2 | 2020 | 21 | |
| 3 | 2021 | 8 | |
| 4 | On the Design of Estimators for Bandit Off-Policy Evaluation | 2019 | 7 |
| 5 | 2018 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2021 | 2 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2026 | 0 |
About Aurélien Bibaut
Aurélien Bibaut is a scholar working on Statistics and Probability, Management Science and Operations Research, Parasitology, Global and Planetary Change and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (5 papers), Advanced Causal Inference Techniques (4 papers), Statistical Methods and Inference (2 papers), Recommender Systems and Techniques (1 paper), Data-Driven Disease Surveillance (1 paper), Simulation Techniques and Applications (1 paper), Parasites and Host Interactions (1 paper) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Health Informatics (12 citations), Computer Vision and Pattern Recognition (86 citations), Artificial Intelligence (94 citations), Radiology, Nuclear Medicine and Imaging (34 citations) and Statistics and Probability (17 citations). Aurélien Bibaut has collaborated with scholars based in United States, France and Philippines. Frequent co-authors include Mark J. van der Laan, Cheng Ju, Nathan Kallus, Antoine Chambaz, Tony Jebara, Ricardo Andrade-Pacheco, Aboulaye Meïté, Nikos A. Vlassis, Lazarus Tito Juziwelo and Benjamin F. Arnold. Their work appears in journals such as Annual Review of Statistics and Its Application, International Journal of Industrial Organization, Scientific Reports, Computational Statistics and Journal of Applied Statistics.
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.