Jason L. Loeppky

30 papers and 920 indexed citations i.

Jason L. Loeppky has authored 30 papers that have received a total of 920 indexed citations. This includes 11 papers in Management Science and Operations Research, 10 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. The topics of these papers are Optimal Experimental Design Methods (11 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Gaussian Processes and Bayesian Inference (4 papers). Jason L. Loeppky is often cited by papers focused on Optimal Experimental Design Methods (11 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Gaussian Processes and Bayesian Inference (4 papers) and collaborates with scholars based in Canada, United States and India. Jason L. Loeppky's co-authors include Leslie M. Moore, Erik Rosolowsky, Brian J. Williams, William J. Welch and R. R. Sitter and has published in prestigious journals such as The Astrophysical Journal, PLoS ONE and Technometrics.