Marylou Gabrié

About

Marylou Gabrié is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marylou Gabrié has authored 13 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Statistical and Nonlinear Physics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marylou Gabrié’s work include Neural Networks and Applications (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Statistical Mechanics and Entropy (3 papers). Marylou Gabrié is often cited by papers focused on Neural Networks and Applications (4 papers), Gaussian Processes and Bayesian Inference (3 papers) and Statistical Mechanics and Entropy (3 papers). Marylou Gabrié collaborates with scholars based in France, United States and Italy. Marylou Gabrié's co-authors include Florent Krząkała, Andre Manoel, Lenka Zdeborová, Eric W. Tramel and Francesco Caltagirone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Chemical Theory and Computation and Physical Review X.

In The Last Decade

Fields of papers citing papers by Marylou Gabrié

Since Specialization

EngineeringComputer 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 Marylou Gabrié. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Marylou Gabrié may publish in the future.

Countries citing papers authored by Marylou Gabrié

Since Specialization

Citations

This map shows the geographic impact of Marylou Gabrié'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 Marylou Gabrié with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marylou Gabrié more than expected).

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