Sudhir B. Kylasa
About
Sudhir B. Kylasa has authored 6 papers that have received a total of 1.5k indexed citations.
This includes 3 papers in Materials Chemistry, 3 papers in Computational Mechanics and 2 papers in Artificial Intelligence. The topics of these papers are Machine Learning in Materials Science (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Sudhir B. Kylasa is often cited by papers focused on Machine Learning in Materials Science (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers) and collaborates with scholars based in United States, Australia and Belgium. Sudhir B. Kylasa's co-authors include Ananth Grama, Hasan Metin Aktulga, Michael W. Mahoney, Michael J. Janik and Fred Roosta and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Parallel and Distributed Systems and npj Computational Materials.
In The Last Decade
Fields of papers published by Sudhir B. Kylasa
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 Sudhir B. Kylasa
Since SpecializationCitations
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