Stephen Becker
About
Stephen Becker has authored 66 papers that have received a total of 2.7k indexed citations.
This includes 25 papers in Computational Mechanics, 20 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (24 papers), Stochastic Gradient Optimization Techniques (9 papers) and Hydrocarbon exploration and reservoir analysis (7 papers). Stephen Becker is often cited by papers focused on Sparse and Compressive Sensing Techniques (24 papers), Stochastic Gradient Optimization Techniques (9 papers) and Hydrocarbon exploration and reservoir analysis (7 papers) and collaborates with scholars based in United States, France and United Kingdom. Stephen Becker's co-authors include Farhad Pourkamali‐Anaraki, Robert J. Bodnar, Emmanuel J. Candès, Kevin L. Shelton and Volkan Cevher and has published in prestigious journals such as Physical Review Letters, Geochimica et Cosmochimica Acta and Journal of Computational Physics.
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