| 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 | 451 | 2021 |
| Soil erosion modelling: A bibliometric analysis N Bezak, M Mikoš, P Borrelli, C Alewell, P Alvarez, JAA Anache, ... Environmental research 197, 111087, 2021 | 118 | 2021 |
| 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 | 25 | 2020 |
| 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 | 22 | 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 | 13 | 2018 |
| Robustness spatiotemporal clustering and trend detection of rainfall erosivity density in Greece K Vantas, E Sidiropoulos, A Loukas Water 11 (5), 1050, 2019 | 11 | 2019 |
| Imputation of erosivity values under incomplete rainfall data by machine learning methods K Vantas, E Sidiropoulos European Water 57, 193-199, 2017 | 7 | 2017 |
| Intra-storm pattern recognition through fuzzy clustering K Vantas, E Sidiropoulos Hydrology 8 (2), 57, 2021 | 6 | 2021 |
| 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 | 4 | 2018 |
| Knowledge discovery using clustering analysis of rainfall timeseries K Vantas, E Sidiropoulos EGU General Assembly Conference Abstracts, EGU21-14758, 2021 | 3 | 2021 |
| 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 |
| 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 |
| Extending the Applicability of the Meyer–Peter and Müller Bed Load Transport Formula E Sidiropoulos, K Vantas, V Hrissanthou, T Papalaskaris Water 13 (20), 2817, 2021 | 2 | 2021 |
| Estimating rainfall erosivity from daily precipitation using generalized additive models K Vantas, E Sidiropoulos, C Evangelides Environmental Sciences Proceedings 2 (1), 21, 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 |
| Adaptation of the Engelund-Hansen formula to Nestos River, Greece K Vantas, K Kaffas, E Sidiropoulos, V Hrissanthou 7th International Association for Hydro-Environment Engineering and Research …, 2022 | | 2022 |
| Improving the positional accuracy of cadastral maps via Machine Learning methods K Vantas Aristotle University of Thessaloniki, Greece, 2022 | | 2022 |
| A global bibliometric perspective on soil erosion modelling B Nejc, B Pasquale, A Christine, F Pablo,Armando,Alvarez, ... EGU General Assembly 2020, 2020 | | 2020 |
ATHANASIOS LOUKASProfessor of Hydrology and Water Resources, Aristotle University of Thessaloniki在 topo.auth.gr 的电子邮件经过验证
