Alex Gorodetsky
About
Alex Gorodetsky has authored 48 papers that have received a total of 317 indexed citations.
This includes 18 papers in Statistics, Probability and Uncertainty, 11 papers in Statistical and Nonlinear Physics and 9 papers in Artificial Intelligence. The topics of these papers are Probabilistic and Robust Engineering Design (18 papers), Model Reduction and Neural Networks (11 papers) and Tensor decomposition and applications (9 papers). Alex Gorodetsky is often cited by papers focused on Probabilistic and Robust Engineering Design (18 papers), Model Reduction and Neural Networks (11 papers) and Tensor decomposition and applications (9 papers) and collaborates with scholars based in United States, France and China. Alex Gorodetsky's co-authors include John Jakeman, Michael Eldred, Gianluca Geraci, Youssef Marzouk and Yuji Fujii and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Journal of Chemical Theory and Computation.
In The Last Decade
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