Sonja Kuhnt
About
Sonja Kuhnt has authored 41 papers that have received a total of 340 indexed citations.
This includes 15 papers in Statistics, Probability and Uncertainty, 12 papers in Computational Theory and Mathematics and 10 papers in Management Science and Operations Research. The topics of these papers are Advanced Multi-Objective Optimization Algorithms (11 papers), Advanced Statistical Methods and Models (9 papers) and Optimal Experimental Design Methods (9 papers). Sonja Kuhnt is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (11 papers), Advanced Statistical Methods and Models (9 papers) and Optimal Experimental Design Methods (9 papers) and collaborates with scholars based in Germany, France and The Netherlands. Sonja Kuhnt's co-authors include Olivier Roustant, W. Tillmann, Claudia Becker, Eva Riccomagno and Barbara Griefahn and has published in prestigious journals such as The Annals of Statistics, Journal of Statistical Software and Reliability Engineering & System Safety
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