Sébastien Gadat
About
Sébastien Gadat is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Sébastien Gadat has authored 36 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sébastien Gadat’s work include Statistical Methods and Inference (11 papers), Sparse and Compressive Sensing Techniques (6 papers) and Bayesian Methods and Mixture Models (5 papers). Sébastien Gadat is often cited by papers focused on Statistical Methods and Inference (11 papers), Sparse and Compressive Sensing Techniques (6 papers) and Bayesian Methods and Mixture Models (5 papers). Sébastien Gadat collaborates with scholars based in France, United States and Belgium. Sébastien Gadat's co-authors include Alexandre Cabot, Hans Engler, Jérémie Bigot, Fabien Panloup, Laurent Miclo, Kim‐Anh Lê Cao, Thierry Klein, Agnès Bonnet, Samuel Somot and Salvatore Valitutti and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and The Annals of Statistics.
In The Last Decade
Co-authorship network of co-authors of Sébastien Gadat i
Fields of papers citing papers by Sébastien Gadat
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Sébastien Gadat. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sébastien Gadat may publish in the future.
Countries citing papers authored by Sébastien Gadat
Since SpecializationCitations
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).
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