| Toxicity on the luminescent bacterium Vibrio fischeri (Beijerinck). I: QSAR equation for narcotics and polar narcotics M Vighi, S Migliorati, GS Monti Ecotoxicology and Environmental Safety 72 (1), 154-161, 2009 | 65 | 2009 |
| A high protein diet is more effective in improving insulin resistance and glycemic variability compared to a Mediterranean diet—A cross-over controlled inpatient dietary study F Tettamanzi, V Bagnardi, P Louca, A Nogal, GS Monti, SP Mambrini, ... Nutrients 13 (12), 4380, 2021 | 61 | 2021 |
| Toxicity on the luminescent bacterium Vibrio fischeri (Beijerinck). II: Response to complex mixtures of heterogeneous chemicals at low levels of individual components S Villa, S Migliorati, GS Monti, M Vighi Ecotoxicology and Environmental Safety 86, 93-100, 2012 | 56 | 2012 |
| Notes on the scaled Dirichlet distribution GS Monti, G Mateu-Figueras, V Pawlowsky-Glahn Compositional data analysis, 128-138, 2011 | 53 | 2011 |
| Risk of POP mixtures on the Arctic food chain S Villa, S Migliorati, GS Monti, I Holoubek, M Vighi Environmental Toxicology and Chemistry 36 (5), 1181-1192, 2017 | 45 | 2017 |
| Preprocessing of centred logratio transformed density functions using smoothing splines J Machalova, K Hron, GS Monti Journal of Applied Statistics 43 (8), 1419-1435, 2016 | 42 | 2016 |
| A structured Dirichlet mixture model for compositional data: inferential and applicative issues S Migliorati, A Ongaro, GS Monti Statistics and Computing 27 (4), 963-983, 2017 | 28 | 2017 |
| Genetic differentiation, local adaptation and phenotypic plasticity in fragmented populations of a rare forest herb R Gentili, A Solari, M Diekmann, C Duprè, GS Monti, S Armiraglio, ... PeerJ 6, e4929, 2018 | 26 | 2018 |
| SSD-based rating system for the classification of pesticide risk on biodiversity S Sala, S Migliorati, GS Monti, M Vighi Ecotoxicology 21, 1050-1062, 2012 | 24 | 2012 |
| A new distribution on the simplex containing the Dirichlet family A Ongaro, S Migliorati, GS Monti Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada, 2008 | 20 | 2008 |
| Ragweed pollen concentration predicts seasonal rhino-conjunctivitis and asthma severity in patients allergic to ragweed M Bonini, GS Monti, MM Pelagatti, V Ceriotti, EE Re, B Bramè, P Bottero, ... Scientific Reports 12 (1), 15921, 2022 | 14 | 2022 |
| Spatial and temporal trends in the ecological risk posed by polycyclic aromatic hydrocarbons in Mediterranean Sea sediments using large-scale monitoring data C Rizzi, S Villa, C Chimera, A Finizio, GS Monti Ecological Indicators 129, 107923, 2021 | 13 | 2021 |
| Robust logistic zero-sum regression for microbiome compositional data GS Monti, P Filzmoser Advances in Data Analysis and Classification 16 (2), 301-324, 2022 | 11 | 2022 |
| A robust approach to risk assessment based on species sensitivity distributions GS Monti, P Filzmoser, RC Deutsch Risk Analysis 38 (10), 2073-2086, 2018 | 11 | 2018 |
| Sparse least trimmed squares regression with compositional covariates for high-dimensional data GS Monti, P Filzmoser Bioinformatics 37 (21), 3805-3814, 2021 | 10 | 2021 |
| E–m algorithm: an application to a mixture model for compositional data S Migliorati, GS Monti, A Ongaro Proceedings of the 44th scientific meeting of the italian statistical society, 2008 | 10 | 2008 |
| Shifted-Dirichlet regression vs simplicial regression: a comparison G Monti, G Mateu-Figueras, V Pawlowsky-Glahn, J Egozcue Welcome to CoDawork, 2015 | 7 | 2015 |
| Distributions on the simplex revisited G Mateu-Figueras, GS Monti, JJ Egozcue Advances in Compositional Data Analysis: Festschrift in Honour of Vera …, 2021 | 5 | 2021 |
| Predicting the risk of gambling activities in adolescence: a case study L Benedan, GS Monti Data Science and Social Research II: Methods, Technologies and Applications …, 2021 | 4 | 2021 |
| A regression model for compositional data based on the shifted-dirichlet distribution GS Monti, G Mateu-Figueras, V Pawlowsky-Glahn, JJ Egozcue Compositional Data Analysis: CoDaWork, L’Escala, Spain, June 2015 6, 127-143, 2016 | 4 | 2016 |
Peter FilzmoserProfessor of Statistics, TU WienEmail verificata su tuwien.ac.at
