Maha Elbayad

About

Maha Elbayad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cell Biology. According to data from OpenAlex, Maha Elbayad has authored 8 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 0 papers in Cell Biology. Recurrent topics in Maha Elbayad’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (5 papers). Maha Elbayad is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (5 papers). Maha Elbayad collaborates with scholars based in France, United States and Israel. Maha Elbayad's co-authors include Jakob Verbeek, Anna Sun, Vedanuj Goswami, Shruti Bhosale and Laurent Besacier and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Maha Elbayad

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

Countries citing papers authored by Maha Elbayad

Since Specialization

Citations

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

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