Deep Ray
About
Deep Ray is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Deep Ray has authored 25 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 13 papers in Computational Mechanics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deep Ray’s work include Model Reduction and Neural Networks (15 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Deep Ray is often cited by papers focused on Model Reduction and Neural Networks (15 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Deep Ray collaborates with scholars based in United States, Switzerland and India. Deep Ray's co-authors include Jan S. Hesthaven, Qian Wang, Siddhartha Mishra, Praveen Chandrashekar, Ulrik Skre Fjordholm, Assad A. Oberai, Dhruv Patel, Christian Rohde, Chen Liu and Béatrice Rivière and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.
In The Last Decade
Co-authorship network of co-authors of Deep Ray i
Fields of papers citing papers by Deep Ray
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 Deep Ray. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Deep Ray may publish in the future.
Countries citing papers authored by Deep Ray
Since SpecializationCitations
This map shows the geographic impact of Deep Ray'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 Deep Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep Ray more than expected).
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