| Rainfall erosivity and its estimation: Conventional and machine learning methods K Vantas, E Sidiropoulos, C Evangelides Soil Erosion-Rainfall Erosivity and Risk Assessment, 19, 2019 | 7 | 2019 |
| hydroscoper: R interface to the Greek National Data Bank for Hydrological and Meteorological Information K Vantas Journal of Open Source Software 3 (23), 625, 2018 | 7 | 2018 |
| Robustness spatiotemporal clustering and trend detection of rainfall erosivity density in Greece K Vantas, E Sidiropoulos, A Loukas Water 11 (5), 1050, 2019 | 6 | 2019 |
| Imputation of erosivity values under incomplete rainfall data by machine learning methods K Vantas, E Sidiropoulos European Water 57, 193-199, 2017 | 6 | 2017 |
| Soil erosion modelling: A global review and statistical analysis P Borrelli, C Alewell, P Alvarez, JAA Anache, J Baartman, C Ballabio, ... Science of The Total Environment 780, 146494, 2021 | 4 | 2021 |
| Modeling distribution system water quality with HYDROSIM model S Yannopoulos, K Vantas, C Tzimopoulos, C Evaggelidis EWRA Seventh International Conference, 487-494, 2009 | 4* | 2009 |
| Optimal temporal distribution curves for the classification of heavy precipitation using hierarchical clustering on principal components K Vantas, E Sidiropoulos, M Vafiadis Global NEST Journal 21 (4), 530 - 538, 2019 | 3 | 2019 |
| Hyetor: R Package to Analyze Fixed Interval Precipitation Time Series. 2019 K Vantas http://doi.org/10.5281/zenodo.1403156, 2019 | 3* | 2019 |
| Temporal and elevation trend detection of rainfall erosivity density in Greece K Vantas, E Sidiropoulos, A Loukas 3rd International Electronic Conference on Water Sciences (ECWS-3), 2018 | 3 | 2018 |
| Determination of rainfall erosivity in the framework of data science using machine learning and geostatistics methods K Vantas Aristotle University of Thessaloniki, 2017 | 3 | 2017 |
| Estimating current and future rainfall erosivity in Greece using regional climate models and spatial quantile regression forests K Vantas, E Sidiropoulos, A Loukas Water 12 (3), 687, 2020 | 2 | 2020 |
| A data driven approach for the temporal classification of heavy rainfall using Self-Organizing Maps K Vantas, E Sidiropoulos, M Vafeiadis EGU General Assembly 2019 21 (EGU2019-10680), 2019 | 2 | 2019 |
| Rainfall Temporal Distribution in Thrace by Means of an Unsupervised Machine Learning Method K Vantas, E Sidiropoulos, M Vafiadis Protection and Restoration of the Environment XIV, 555 - 564, 2018 | 1* | 2018 |
| Intra-Storm Pattern Recognition through Fuzzy Clustering K Vantas, E Sidiropoulos Hydrology 8 (2), 57, 2021 | | 2021 |
| Soil erosion modelling: A bibliometric analysis N Bezak, M Mikoš, P Borrelli, C Alewell, P Alvarez, JAA Anache, ... Environmental Research, 111087, 2021 | | 2021 |
| Knowledge discovery using clustering analysis of rainfall timeseries K Vantas, E Sidiropoulos EGU21, 2021 | | 2021 |
| Estimating Rainfall Erosivity from Daily Precipitation Using Generalized Additive Models K Vantas, E Sidiropoulos, C Evangelides Environmental Sciences Proceedings 2 (1), 21, 2020 | | 2020 |
| Spatial groundwater resource allocation by means of extremal optimization, combined with a cellular automata component E Sidiropoulos, K Vantas, C Evangelides EGU General Assembly 2019 21 (EGU2019-10923), 2019 | | 2019 |
| noar: R interface to the National Observatory of Athens weather stations network K Vantas R package version 0.1.0, URL https://github.com/kvantas/noar, 2018 | | 2018 |
| erosivity: Calculation of rainfall erosivity using precipitation records K Vantas R package version 0.1.0, URL https://github.com/kvantas/erosivity, 2018 | | 2018 |
evangelides chrisA.U.T.HVerified email at vergina.eng.auth.gr
