Eva Riccomagno
About
Eva Riccomagno has authored 38 papers that have received a total of 446 indexed citations.
This includes 18 papers in Computational Theory and Mathematics, 10 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. The topics of these papers are Polynomial and algebraic computation (8 papers), Optimal Experimental Design Methods (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Eva Riccomagno is often cited by papers focused on Polynomial and algebraic computation (8 papers), Optimal Experimental Design Methods (7 papers) and Bayesian Modeling and Causal Inference (6 papers) and collaborates with scholars based in Italy, United Kingdom and Germany. Eva Riccomagno's co-authors include Henry P. Wynn, Giovanni Pistone, Enrica Zereik, Marco Bibuli and Jim Q. Smith and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Annals of Statistics
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