Sébastien Gadat
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Statistics and Probability top 5%
- Computational Mechanics
- Immunology
- Co-authors
- Hans EnglerAlexandre CabotJérémie BigotFabien PanloupKim‐Anh Lê CaoThierry KleinSamuel SomotAgnès Bonnet
- Topics
- Statistical Methods and Inference (8 papers)Sparse and Compressive Sensing Techniques (6 papers)Bayesian Methods and Mixture Models (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Information Theory
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
Sébastien Gadat
31 papers receiving 363 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 82
- Computational Theory and Mathematics 73
- Statistics and Probability 65
- Computational Mechanics 58
- Immunology 52
Countries citing papers authored by Sébastien Gadat
This map shows the geographic impact of Sébastien Gadat'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 Sébastien Gadat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien Gadat more than expected).
Fields of papers citing papers by Sébastien Gadat
This network shows the impact of papers produced by Sébastien Gadat. 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 Sébastien Gadat. The network helps show where Sébastien Gadat may publish in the future.
Co-authorship network of co-authors of Sébastien Gadat
This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Gadat. A scholar is included among the top collaborators of Sébastien Gadat 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 Sébastien Gadat. Sébastien Gadat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 37 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 32 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | EVT-SIAM: A Tool Based on Extreme-Value Theory for the Assessment of SBAS Accuracy and Integrity | 3 |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 12 |
About Sébastien Gadat
Sébastien Gadat is a scholar working on Statistics and Probability, Modeling and Simulation and Applied Mathematics, having authored 34 papers that have together received 386 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Statistics and Probability (65 citations), Mathematical Physics (47 citations) and Numerical Analysis (25 citations). Sébastien Gadat has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Hans Engler, Alexandre Cabot, Jérémie Bigot, Fabien Panloup, Kim‐Anh Lê Cao, Thierry Klein, Samuel Somot, Agnès Bonnet, Aurélien Ribes and Lola Corre. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.
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.