Lénaïc Chizat
About
In The Last Decade
Lénaïc Chizat
13 papers receiving 383 citations
Peers
Comparison fields: 5 of 72
- Applied Mathematics 122
- Artificial Intelligence 77
- Computer Vision and Pattern Recognition 66
- Computational Mechanics 54
- Statistics and Probability 44
Countries citing papers authored by Lénaïc Chizat
This map shows the geographic impact of Lénaïc Chizat'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 Lénaïc Chizat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lénaïc Chizat more than expected).
Fields of papers citing papers by Lénaïc Chizat
This network shows the impact of papers produced by Lénaïc Chizat. 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 Lénaïc Chizat. The network helps show where Lénaïc Chizat may publish in the future.
Co-authorship network of co-authors of Lénaïc Chizat
This figure shows the co-authorship network connecting the top 25 collaborators of Lénaïc Chizat. A scholar is included among the top collaborators of Lénaïc Chizat 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 Lénaïc Chizat. Lénaïc Chizat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | A Note on Lazy Training in Supervised Differentiable Programming | 17 |
| 13 | 90 | |
| 14 | 14 | |
| 15 | 161 | |
| 16 | 83 |
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.