Akil Narayan
About
Akil Narayan has authored 95 papers that have received a total of 1.2k indexed citations.
This includes 55 papers in Statistics, Probability and Uncertainty, 41 papers in Statistical and Nonlinear Physics and 26 papers in Computational Theory and Mathematics. The topics of these papers are Probabilistic and Robust Engineering Design (55 papers), Model Reduction and Neural Networks (32 papers) and Advanced Multi-Objective Optimization Algorithms (18 papers). Akil Narayan is often cited by papers focused on Probabilistic and Robust Engineering Design (55 papers), Model Reduction and Neural Networks (32 papers) and Advanced Multi-Objective Optimization Algorithms (18 papers) and collaborates with scholars based in United States, China and Germany. Akil Narayan's co-authors include Tao Tang, Dongbin Xiu, John Jakeman, Robert M. Kirby and Vahid Keshavarzzadeh and has published in prestigious journals such as Journal of Computational Physics, Ecology Letters and IEEE Transactions on Signal Processing
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