Gary Tom
About
Gary Tom has authored 12 papers that have received a total of 170 indexed citations.
This includes 7 papers in Materials Chemistry, 5 papers in Computational Theory and Mathematics and 4 papers in Electrical and Electronic Engineering. The topics of these papers are Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Molecular Junctions and Nanostructures (3 papers). Gary Tom is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers) and Molecular Junctions and Nanostructures (3 papers) and collaborates with scholars based in Canada, United States and Sweden. Gary Tom's co-authors include Sarah A. Burke, Alán Aspuru‐Guzik, Giang D. Nguyen, Don M. Mayder and Christopher M. Tonge and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Advanced Materials.
In The Last Decade
Fields of papers published by Gary Tom
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 Gary Tom
Since SpecializationCitations
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