James Gattiker
About
James Gattiker has authored 21 papers that have received a total of 980 indexed citations.
This includes 7 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 5 papers in Statistics, Probability and Uncertainty. The topics of these papers are Advanced Multi-Objective Optimization Algorithms (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Probabilistic and Robust Engineering Design (4 papers). James Gattiker is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Probabilistic and Robust Engineering Design (4 papers) and collaborates with scholars based in United States, United Kingdom and Canada. James Gattiker's co-authors include Dave Higdon, David Higdon, Brian J. Williams, Doug McNeall and Scott Vander Wiel and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Pattern Analysis and Machine Intelligence
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