Akil Narayan

85 papers and 978 indexed citations .

Akil Narayan is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Akil Narayan has authored 85 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Statistics, Probability and Uncertainty, 33 papers in Statistical and Nonlinear Physics and 23 papers in Computational Theory and Mathematics. Recurrent topics in Akil Narayan’s work include Probabilistic and Robust Engineering Design (49 papers), Model Reduction and Neural Networks (24 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Akil Narayan is often cited by papers focused on Probabilistic and Robust Engineering Design (49 papers), Model Reduction and Neural Networks (24 papers) and Advanced Multi-Objective Optimization Algorithms (16 papers). Akil Narayan collaborates with scholars based in United States, China and Austria. Akil Narayan's co-authors include Dongbin Xiu, Tao Tang, John Jakeman, Robert M. Kirby, Ling Guo, Claude Jeffrey Gittelson, Yanlai Chen, Vahid Keshavarzzadeh, Robert M. Kirby and Xueyu Zhu and has published in prestigious journals such as The Journal of Physiology, Journal of Computational Physics and Ecology Letters.