Maëlle Nodet
- Atmospheric Science top 5%
- Statistics, Probability and Uncertainty top 2%
- Global and Planetary Change top 10%
- Pulmonary and Respiratory Medicine
- Management, Monitoring, Policy and Law top 5%
- Co-authors
- Marc BocquetMark AschAlexandre JanonClémentine PrieurThierry KleinAgnès LagnouxCatherine RitzOlivier Gagliardini
- Topics
- Meteorological Phenomena and Simulations (8 papers)Probabilistic and Robust Engineering Design (6 papers)Cryospheric studies and observations (5 papers)
- Cited by
- Atmospheric ScienceStatistics, Probability and UncertaintyManagement, Monitoring, Policy and Law
- Journals
- SHILAP Revista de lepidopterologíaSensorsTellus A Dynamic Meteorology and Oceanography
- Partner nations
- FranceUnited StatesUkraine
In The Last Decade
Maëlle Nodet
20 papers receiving 698 citations
Peers
Comparison fields: 5 of 74
- Atmospheric Science 396
- Statistics, Probability and Uncertainty 157
- Global and Planetary Change 139
- Pulmonary and Respiratory Medicine 102
- Management, Monitoring, Policy and Law 90
Countries citing papers authored by Maëlle Nodet
This map shows the geographic impact of Maëlle Nodet'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 Maëlle Nodet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maëlle Nodet more than expected).
Fields of papers citing papers by Maëlle Nodet
This network shows the impact of papers produced by Maëlle Nodet. 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 Maëlle Nodet. The network helps show where Maëlle Nodet may publish in the future.
Co-authorship network of co-authors of Maëlle Nodet
This figure shows the co-authorship network connecting the top 25 collaborators of Maëlle Nodet. A scholar is included among the top collaborators of Maëlle Nodet 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 Maëlle Nodet. Maëlle Nodet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 199 | |
| 5 | Goal-oriented error estimation for fast approximations of nonlinear problems | 1 |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 151 | |
| 10 | 184 | |
| 11 | 27 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | Investigating Greenland Ice Sheet dynamics over next century using high resolution full-Stokes simulations | 1 |
| 15 | 56 | |
| 16 | 10 | |
| 17 | Full-Stokes finite element modelling of the Greenland ice-sheet using inverse methods. | 1 |
| 18 | 13 | |
| 19 | 0 | |
| 20 | 4 |
About Maëlle Nodet
Maëlle Nodet is a scholar working on Statistics, Probability and Uncertainty, Atmospheric Science and Statistical and Nonlinear Physics, having authored 21 papers that have together received 718 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (8 papers), Probabilistic and Robust Engineering Design (6 papers) and Cryospheric studies and observations (5 papers). The work is most often cited by research in Atmospheric Science (396 citations), Statistics, Probability and Uncertainty (157 citations) and Management, Monitoring, Policy and Law (90 citations). Maëlle Nodet has collaborated with scholars based in France, United States and Ukraine. Frequent co-authors include Marc Bocquet, Mark Asch, Alexandre Janon, Clémentine Prieur, Thierry Klein, Agnès Lagnoux, Catherine Ritz, Olivier Gagliardini, G. Durand and Fabien Gillet‐Chaulet. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Tellus A Dynamic Meteorology and Oceanography.
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.