Michael W. Mahoney
About
Michael W. Mahoney has authored 168 papers that have received a total of 9.6k indexed citations.
This includes 104 papers in Artificial Intelligence, 50 papers in Computational Mechanics and 39 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (49 papers), Stochastic Gradient Optimization Techniques (44 papers) and Complex Network Analysis Techniques (18 papers). Michael W. Mahoney is often cited by papers focused on Sparse and Compressive Sensing Techniques (49 papers), Stochastic Gradient Optimization Techniques (44 papers) and Complex Network Analysis Techniques (18 papers) and collaborates with scholars based in United States, Australia and China. Michael W. Mahoney's co-authors include Petros Drineas, Zhewei Yao, Kurt Keutzer, Jiyan Yang and Amir Gholami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Nature Communications.
In The Last Decade
Fields of papers published by Michael W. Mahoney
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
Countries citing papers authored by Michael W. Mahoney
Since SpecializationCitations
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