Sylvestre-Alvise Rebuffi

11 papers and 2.0k indexed citations i.

About

Sylvestre-Alvise Rebuffi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sylvestre-Alvise Rebuffi has authored 11 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sylvestre-Alvise Rebuffi’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (3 papers). Sylvestre-Alvise Rebuffi is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (3 papers). Sylvestre-Alvise Rebuffi collaborates with scholars based in United Kingdom, Germany and Austria. Sylvestre-Alvise Rebuffi's co-authors include Andrea Vedaldi, Kai Han, Sébastien Ehrhardt, Andrew Zisserman and Olivia Wiles and has published in prestigious journals such as Nature Medicine and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fields of papers citing papers by Sylvestre-Alvise Rebuffi

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 Sylvestre-Alvise Rebuffi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sylvestre-Alvise Rebuffi may publish in the future.

Countries citing papers authored by Sylvestre-Alvise Rebuffi

Since Specialization
Citations

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

Rankless by CCL
2025