Pierre Tandeo
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Oceanography top 5%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Co-authors
- Ronan FabletPierre AilliotManuel Pulido FernándezAlberto CarrassiMarc BocquetBertrand ChapronManuel PulidoEmmanuelle Autret
- Topics
- Meteorological Phenomena and Simulations (24 papers)Climate variability and models (20 papers)Oceanographic and Atmospheric Processes (17 papers)
- Journals
- Remote Sensing of EnvironmentIEEE Transactions on Geoscience and Remote SensingJournal of the Atmospheric Sciences
- Partner nations
- FranceArgentinaUnited States
In The Last Decade
Pierre Tandeo
47 papers receiving 880 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Atmospheric Science 457
- Global and Planetary Change 357
- Oceanography 320
- Artificial Intelligence 141
- Environmental Engineering 123
Countries citing papers authored by Pierre Tandeo
This map shows the geographic impact of Pierre Tandeo'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 Pierre Tandeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Tandeo more than expected).
Fields of papers citing papers by Pierre Tandeo
This network shows the impact of papers produced by Pierre Tandeo. 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 Pierre Tandeo. The network helps show where Pierre Tandeo may publish in the future.
Co-authorship network of co-authors of Pierre Tandeo
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Tandeo. A scholar is included among the top collaborators of Pierre Tandeo 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 Pierre Tandeo. Pierre Tandeo 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 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Reviewbreakdown → | 127 |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 10 | |
| 16 | 52 | |
| 17 | Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a Review | 9 |
| 18 | 14 | |
| 19 | 4 | |
| 20 | 34 |
About Pierre Tandeo
Pierre Tandeo is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change, having authored 50 papers that have together received 909 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (24 papers), Climate variability and models (20 papers) and Oceanographic and Atmospheric Processes (17 papers). The work is most often cited by research in Oceanography (320 citations), Atmospheric Science (457 citations) and Global and Planetary Change (357 citations). Pierre Tandeo has collaborated with scholars based in France, Argentina and United States. Frequent co-authors include Ronan Fablet, Pierre Ailliot, Manuel Pulido Fernández, Alberto Carrassi, Marc Bocquet, Bertrand Chapron, Manuel Pulido, Emmanuelle Autret, Redouane Lguensat and Alexis Mouche. Their work appears in journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Journal of the Atmospheric Sciences.
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.