Rémi Bardenet
About
In The Last Decade
Rémi Bardenet
13 papers receiving 297 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 125
- Cardiology and Cardiovascular Medicine 115
- Molecular Biology 78
- Computational Theory and Mathematics 49
- Statistics, Probability and Uncertainty 32
Countries citing papers authored by Rémi Bardenet
This map shows the geographic impact of Rémi Bardenet'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 Rémi Bardenet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Bardenet more than expected).
Fields of papers citing papers by Rémi Bardenet
This network shows the impact of papers produced by Rémi Bardenet. 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 Rémi Bardenet. The network helps show where Rémi Bardenet may publish in the future.
Co-authorship network of co-authors of Rémi Bardenet
This figure shows the co-authorship network connecting the top 25 collaborators of Rémi Bardenet. A scholar is included among the top collaborators of Rémi Bardenet 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 Rémi Bardenet. Rémi Bardenet 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 | A public benchmark for denoising and detection methods | 0 |
| 4 | DPPy: DPP Sampling with Python | 11 |
| 5 | 47 | |
| 6 | 1 | |
| 7 | On Markov chain Monte Carlo Methods for Tall Data | 6 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 95 | |
| 13 | Collaborative hyperparameter tuning | 133 |
| 14 | 1 | |
| 15 | 1 |
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.