| Comparison between geostatistical and machine learning models as predictors of topsoil organic carbon with a focus on local uncertainty estimation F Veronesi, C Schillaci Ecological Indicators 101, 1032-1044, 2019 | 90 | 2019 |
| Estimation of the global solar energy potential and photovoltaic cost with the use of open data A Korfiati, C Gkonos, F Veronesi, A Gaki, S Grassi, R Schenkel, ... International Journal of Sustainable Energy Planning and Management 9, 17-30, 2016 | 66 | 2016 |
| Mapping soil compaction in 3D with depth functions F Veronesi, R Corstanje, T Mayr Soil and Tillage Research 124, 111-118, 2012 | 58 | 2012 |
| Statistical learning approach for wind resource assessment F Veronesi, S Grassi, M Raubal Renewable and Sustainable Energy Reviews 56, 836-850, 2016 | 57 | 2016 |
| Landscape scale estimation of soil carbon stock using 3D modelling F Veronesi, R Corstanje, T Mayr Science of the total environment 487, 578-586, 2014 | 54 | 2014 |
| Online hate interpretation varies by country, but more by individual: A statistical analysis using crowdsourced ratings J Salminen, F Veronesi, H Almerekhi, SG Jung, BJ Jansen 2018 fifth international conference on social networks analysis, management …, 2018 | 53 | 2018 |
| Automatic selection of weights for GIS-based multicriteria decision analysis: site selection of transmission towers as a case study F Veronesi, J Schito, S Grassi, M Raubal Applied geography 83, 78-85, 2017 | 52 | 2017 |
| New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems C Schillaci, A Perego, E Valkama, M Märker, S Saia, F Veronesi, A Lipani, ... Science of the total environment 780, 146609, 2021 | 38 | 2021 |
| Random Forest with semantic tie points for classifying landforms and creating rigorous shaded relief representations F Veronesi, L Hurni Geomorphology 224, 152-160, 2014 | 31 | 2014 |
| A geostatistical analysis of soil properties in the Davis Pond Mississippi freshwater diversion F Kral, R Corstanje, JR White, F Veronesi Soil Science Society of America Journal 76 (3), 1107-1118, 2012 | 30 | 2012 |
| A GIS tool to increase the visual quality of relief shading by automatically changing the light direction F Veronesi, L Hurni Computers & Geosciences 74, 121-127, 2015 | 29 | 2015 |
| Phylogenetic clustering of wingbeat frequency and flight‐associated morphometrics across insect orders MPTG Tercel, F Veronesi, TW Pope Physiological Entomology 43 (2), 149-157, 2018 | 28 | 2018 |
| A comparative analysis of the precipitation extremes obtained from tropical rainfall‐measuring mission satellite and rain gauges datasets over a semiarid region M Mahbod, A Shirvani, F Veronesi International Journal of Climatology 39 (1), 495-515, 2019 | 26 | 2019 |
| Changing the light azimuth in shaded relief representation by clustering aspect F Veronesi, L Hurni The Cartographic Journal 51 (4), 291-300, 2014 | 24 | 2014 |
| Assessing accuracy and geographical transferability of machine learning algorithms for wind speed modelling F Veronesi, A Korfiati, R Buffat, M Raubal Societal Geo-innovation: Selected papers of the 20th AGILE conference on …, 2017 | 20 | 2017 |
| Mapping of the global wind energy potential using open source GIS data S Grassi, F Veronesi, R Schenkel, C Peier, J Neukom, S Volkwein, ... 2nd Int. Conf. Energy Environ. bringing together Eng. Econ, 6, 2015 | 18 | 2015 |
| Legacy effects override soil properties for CO2 and N2O but not CH4 emissions following digestate application to soil MC Rosace, F Veronesi, S Briggs, LM Cardenas, S Jeffery GCB Bioenergy 12 (6), 445-457, 2020 | 15 | 2020 |
| An evaluative study of TRMM precipitation estimates over multi-day scales in a semi-arid region, Iran M Mahbod, F Veronesi, A Shirvani International journal of remote sensing 40 (11), 4143-4174, 2019 | 13 | 2019 |
| Comparison of hourly and daily wind speed observations for the computation of Weibull parameters and power output F Veronesi, S Grassi 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC), 1-6, 2015 | 11 | 2015 |
| Statistical learning approach for wind speed distribution mapping: the UK as a case study F Veronesi, S Grassi, M Raubal, L Hurni AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities …, 2015 | 8 | 2015 |
