Maxime Léger
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
- Surgery 7
- Enhanced Recovery After Surgery 4
- Nausea and vomiting management 2
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- Botulinum Toxin and Related Neurological Disorders 3
- Co-authors
- Sigismond Lasocki (22 shared papers)Emmanuel Rineau (15 shared papers)Yohann Foucher (7 shared papers)Florent Le Borgne (5 shared papers)Chloé Rousseau (1 shared paper)Elsa Parot‐Schinkel (5 shared papers)David Laplaud (1 shared paper)Nicolas Lerolle (2 shared papers)
- Journals
- British Journal of Anaesthesia (4 papers)BMJ Open (2 papers)Scientific Reports (2 papers)Anaesthesia Critical Care & Pain Medicine (2 papers)PLoS ONE (2 papers)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Maxime Léger
32 papers receiving 310 citations
Peers
Comparison fields: 5 of 72
- Statistics and Probability 48
- Anesthesiology and Pain Medicine 17
- Neurology 31
- Critical Care and Intensive Care Medicine 9
- Emergency Medicine 15
Countries citing papers authored by Maxime Léger
This map shows the geographic impact of Maxime Léger'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 Maxime Léger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Léger more than expected).
Fields of papers citing papers by Maxime Léger
This network shows the impact of papers produced by Maxime Léger. 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 Maxime Léger. The network helps show where Maxime Léger may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Léger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2022 | 41 | |
| 3 | 2023 | 30 | |
| 4 | 2017 | 30 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Maxime Léger
Maxime Léger is a scholar working on Surgery, Neurology, Biochemistry, Statistics and Probability and Critical Care and Intensive Care Medicine, having authored 38 papers that have together received 314 indexed citations. Recurring topics across this work include Blood transfusion and management (5 papers), Advanced Causal Inference Techniques (4 papers), Enhanced Recovery After Surgery (4 papers), Statistical Methods in Clinical Trials (4 papers), Statistical Methods and Bayesian Inference (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Nausea and vomiting management (2 papers). The work is most often cited by research in Statistics and Probability (48 citations), Anesthesiology and Pain Medicine (17 citations), Neurology (31 citations), Critical Care and Intensive Care Medicine (9 citations) and Emergency Medicine (15 citations). Maxime Léger has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Sigismond Lasocki, Emmanuel Rineau, Yohann Foucher, Florent Le Borgne, Chloé Rousseau, Elsa Parot‐Schinkel, David Laplaud, Nicolas Lerolle, Gaël Le Roux and Bruno Giraudeau. Their work appears in journals such as British Journal of Anaesthesia, BMJ Open, Scientific Reports, Anaesthesia Critical Care & Pain Medicine and PLoS ONE.
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.