Mohamed Hebiri
About
Mohamed Hebiri is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics.
According to data from OpenAlex, Mohamed Hebiri has authored 13 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 4 papers in Computational Mechanics. Recurrent topics in Mohamed Hebiri’s work include Statistical Methods and Inference (8 papers), Sparse and Compressive Sensing Techniques (4 papers) and Statistical Methods and Bayesian Inference (4 papers). Mohamed Hebiri is often cited by papers focused on Statistical Methods and Inference (8 papers), Sparse and Compressive Sensing Techniques (4 papers) and Statistical Methods and Bayesian Inference (4 papers). Mohamed Hebiri collaborates with scholars based in France, Switzerland and Japan. Mohamed Hebiri's co-authors include Johannes Lederer, Sara van de Geer, Arnak S. Dalalyan, Pierre Alquier, Tomoyuki Morimae, Cristina Butucea, Luca Oneto, Joseph Salmon and Massimiliano Pontil and has published in prestigious journals such as Physical Review A, IEEE Transactions on Information Theory and Journal of Statistical Planning and Inference.
In The Last Decade
Co-authorship network of co-authors of Mohamed Hebiri i
Fields of papers citing papers by Mohamed Hebiri
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 Mohamed Hebiri. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mohamed Hebiri may publish in the future.
Countries citing papers authored by Mohamed Hebiri
Since SpecializationCitations
This map shows the geographic impact of Mohamed Hebiri'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 Mohamed Hebiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Hebiri more than expected).
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