Aurore Delaigle
- Statistics and Probability top 0.2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Molecular Biology
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Peter HallIrène GijbelsAlexander MeisterRaymond J. CarrollP. HallWen‐Xin ZhouJianqing FanJiashun Jin
- Topics
- Statistical Methods and Inference (39 papers)Advanced Statistical Methods and Models (15 papers)Statistical Methods and Bayesian Inference (13 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Aurore Delaigle
59 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Statistics and Probability 1.1k
- Artificial Intelligence 445
- Control and Systems Engineering 192
- Molecular Biology 152
- Statistics, Probability and Uncertainty 147
Countries citing papers authored by Aurore Delaigle
This map shows the geographic impact of Aurore Delaigle'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 Aurore Delaigle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurore Delaigle more than expected).
Fields of papers citing papers by Aurore Delaigle
This network shows the impact of papers produced by Aurore Delaigle. 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 Aurore Delaigle. The network helps show where Aurore Delaigle may publish in the future.
Co-authorship network of co-authors of Aurore Delaigle
This figure shows the co-authorship network connecting the top 25 collaborators of Aurore Delaigle. A scholar is included among the top collaborators of Aurore Delaigle 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 Aurore Delaigle. Aurore Delaigle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | UNEXPECTED PROPERTIES OF BANDWIDTH CHOICE WHEN SMOOTHING DISCRETE DATA FOR CONSTRUCTING A FUNCTIONAL DATA CLASSIFIER | 8 |
| 9 | Theoretical properties of principal component score density estimators in functional data analysis | 1 |
| 10 | 39 | |
| 11 | 82 | |
| 12 | 6 | |
| 13 | 36 | |
| 14 | An alternative view of the deconvolution problem | 31 |
| 15 | 22 | |
| 16 | Estimation of boundary and discontinuity points in deconvolution problems | 23 |
| 17 | 24 | |
| 18 | 65 | |
| 19 | 117 | |
| 20 | Kernel estimation in deconvolution problems | 3 |
About Aurore Delaigle
Aurore Delaigle is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (39 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Bayesian Inference (13 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistics, Probability and Uncertainty (147 citations) and Artificial Intelligence (445 citations). Aurore Delaigle has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Peter Hall, Irène Gijbels, Alexander Meister, Raymond J. Carroll, P. Hall, Wen‐Xin Zhou, Jianqing Fan, Jiashun Jin, Peter Hall and Peter Hall. Their work appears in journals such as Journal of the American Statistical Association, The Astrophysical Journal and Biometrika.
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.