| Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy) C Conoscenti, S Angileri, C Cappadonia, E Rotigliano, V Agnesi, ... Geomorphology 204, 399-411, 2014 | 347 | 2014 |
| A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran A Arabameri, K Rezaei, A Cerdà, C Conoscenti, Z Kalantari Science of the Total Environment 660, 443-458, 2019 | 275 | 2019 |
| Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the … L Lombardo, M Cama, C Conoscenti, M Märker, E Rotigliano Natural Hazards 79, 1621-1648, 2015 | 189 | 2015 |
| Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: Advantages and limitations Á Gómez-Gutiérrez, C Conoscenti, SE Angileri, E Rotigliano, S Schnabel Natural Hazards 79, 291-314, 2015 | 188 | 2015 |
| Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: a case of the Belice River basin (western Sicily … C Conoscenti, M Ciaccio, NA Caraballo-Arias, Á Gómez-Gutiérrez, ... Geomorphology 242, 49-64, 2015 | 187 | 2015 |
| Measuring, modelling and managing gully erosion at large scales: A state of the art M Vanmaercke, P Panagos, T Vanwalleghem, A Hayas, S Foerster, ... Earth-Science Reviews 218, 103637, 2021 | 184 | 2021 |
| Assessing the performance of GIS-based machine learning models with different accuracy measures for determining susceptibility to gully erosion Y Garosi, M Sheklabadi, C Conoscenti, HR Pourghasemi, K Van Oost Science of the Total Environment 664, 1117-1132, 2019 | 184 | 2019 |
| GIS analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy) C Conoscenti, C Di Maggio, E Rotigliano Geomorphology 94 (3-4), 325-339, 2008 | 170 | 2008 |
| Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping Y Garosi, M Sheklabadi, HR Pourghasemi, AA Besalatpour, C Conoscenti, ... Geoderma 330, 65-78, 2018 | 157 | 2018 |
| A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, Italy C Conoscenti, V Agnesi, S Angileri, C Cappadonia, E Rotigliano, ... Environmental Earth Sciences 70, 1179-1195, 2013 | 139 | 2013 |
| Exploring the effect of absence selection on landslide susceptibility models: a case study in Sicily, Italy C Conoscenti, E Rotigliano, M Cama, NA Caraballo-Arias, L Lombardo, ... Geomorphology 261, 222-235, 2016 | 133 | 2016 |
| Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques A Arabameri, B Pradhan, K Rezaei, C Conoscenti Catena 180, 282-297, 2019 | 122 | 2019 |
| Soil erosion susceptibility assessment and validation using a geostatistical multivariate approach: a test in Southern Sicily C Conoscenti, C Di Maggio, E Rotigliano Natural hazards 46, 287-305, 2008 | 114 | 2008 |
| Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy) M Cama, C Conoscenti, L Lombardo, E Rotigliano Environmental Earth Sciences 75, 1-21, 2016 | 109 | 2016 |
| Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy) M Cama, L Lombardo, C Conoscenti, E Rotigliano Geomorphology 288, 52-65, 2017 | 103 | 2017 |
| Assessment of Gully Erosion Susceptibility using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity C Conoscenti, V Agnesi, M Cama, NA Caraballo‐Arias, E Rotigliano Land Degradation & Development 29, 724-736, 2018 | 101 | 2018 |
| PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches O Rahmati, A Kornejady, M Samadi, RC Deo, C Conoscenti, L Lombardo, ... Science of the total environment 664, 296-311, 2019 | 98 | 2019 |
| Evaluation of multi-hazard map produced using MaxEnt machine learning technique N Javidan, A Kavian, HR Pourghasemi, C Conoscenti, Z Jafarian, ... Scientific reports 11 (1), 6496, 2021 | 90 | 2021 |
| Water erosion susceptibility mapping by applying stochastic gradient treeboost to the Imera Meridionale river basin (Sicily, Italy) SE Angileri, C Conoscenti, V Hochschild, M Märker, E Rotigliano, ... Geomorphology 262, 61-76, 2016 | 85 | 2016 |
| Forward logistic regression for earth-flow landslide susceptibility assessment in the Platani river basin (southern Sicily, Italy) D Costanzo, J Chacón, C Conoscenti, C Irigaray, E Rotigliano Landslides 11, 639-653, 2014 | 81 | 2014 |
