ebrahim omidvar

Citat de

	Toate	Din 2020
Referințe bibliografice	1540	1453
h-index	16	15
i10-index	20	19

340

170

255

20162017201820192020202120222023202420257 12 9 51 209 212 337 297 326 71

Coautori

Ataollah ShirzadiDept. of Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IranAdresă de e-mail confirmată pe uok.ac.ir
Himan ShahabiDepartment of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IranAdresă de e-mail confirmată pe uok.ac.ir
baharin bin ahmadUniversiti Teknologi MalaysiaAdresă de e-mail confirmată pe utm.my
John J ClagueProfessor Emeritus, Department of Earth Science, Simon Fraser UniversityAdresă de e-mail confirmată pe sfu.ca
Marten GeertsemaProvince of British ColumbiaAdresă de e-mail confirmată pe gov.bc.ca
Ataollah KavianSari Agricultural Sciences and Natural Resources UniversityAdresă de e-mail confirmată pe sanru.ac.ir
Professor Biswajeet Pradhan, SMIEEE...Distinguished Prof. & Director, CAMGIS Center, University of Technology Sydney, AustraliaAdresă de e-mail confirmată pe uts.edu.au
Kamran ChapiFaculty of Natural Resources, University of Kurdistan, Sanandaj, IranAdresă de e-mail confirmată pe uok.ac.ir
Gyula GrófCentre for Energy Research, BudapestAdresă de e-mail confirmată pe energia.bme.hu
Hossein RahmaniPh.D Candidate in Software Engineering, Vienna University of Technology (TU Wien)Adresă de e-mail confirmată pe tuwien.ac.at
Hamid DarabiUniversity of HelsinkiAdresă de e-mail confirmată pe helsinki.fi
Bahram ChoubinAssistant professor-Isfahan Agricultural and Natural Resources Research Institute-AREEOAdresă de e-mail confirmată pe ut.ac.ir
Leila GholamiAssociate Professor, Sari Agricultural Sciences and Natural Resources UniversityAdresă de e-mail confirmată pe sanru.ac.ir
Maziar MohammadiPostdoctoral researcher at University of Zurich, SwitzerlandAdresă de e-mail confirmată pe geo.uzh.ch
Zahra Nazeri TahroudiPh.D StudentAdresă de e-mail confirmată pe grad.kashanu.ac.ir

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ebrahim omidvar

Associate Professor of Watershed management science and engineering, University of Kashan

Adresă de e-mail confirmată pe kashanu.ac.ir - Pagina de pornire

Erosion and Sediment Watershed Modelling


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Flood detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest … H Shahabi, A Shirzadi, K Ghaderi, E Omidvar, N Al-Ansari, JJ Clague, ... Remote Sensing 12 (2), 266, 2020	305	2020
Landslide susceptibility assessment by novel hybrid machine learning algorithms B Thai Pham, A Shirzadi, H Shahabi, E Omidvar, SK Singh, M Sahana, ... Sustainability 11 (16), 4386, 2019	167	2019
Shallow landslide prediction using a novel hybrid functional machine learning algorithm D Tien Bui, H Shahabi, E Omidvar, A Shirzadi, M Geertsema, JJ Clague, ... Remote Sensing 11 (8), 931, 2019	123	2019
Deep learning neural networks for spatially explicit prediction of flash flood probability M Panahi, A Jaafari, A Shirzadi, H Shahabi, O Rahmati, E Omidvar, S Lee, ... Geoscience Frontiers 12 (3), 101076, 2021	117	2021
New ensemble models for shallow landslide susceptibility modeling in a semi-arid watershed D Tien Bui, A Shirzadi, H Shahabi, M Geertsema, E Omidvar, JJ Clague, ... Forests 10 (9), 743, 2019	111	2019
GIS-based gully erosion susceptibility mapping: a comparison of computational ensemble data mining models VH Nhu, S Janizadeh, M Avand, W Chen, M Farzin, E Omidvar, A Shirzadi, ... Applied Sciences 10 (6), 2039, 2020	98	2020
Development of a novel hybrid intelligence approach for landslide spatial prediction PT Nguyen, TT Tuyen, A Shirzadi, BT Pham, H Shahabi, E Omidvar, ... Applied Sciences 9 (14), 2824, 2019	75	2019
Contribution of climatic variability and human activities to stream flow changes in the Haraz River basin, northern Iran A Pirnia, H Darabi, B Choubin, E Omidvar, C Onyutha, AT Haghighi Journal of Hydro-Environment Research 25, 12-24, 2019	71	2019
Sediment yield, runoff and hydraulic characteristics in straw and rock fragment covers E Omidvar, Z Hajizadeh, H Ghasemieh Soil and Tillage Research 194, 104324, 2019	65	2019
Optimization of statistical and machine learning hybrid models for groundwater potential mapping P Yariyan, M Avand, E Omidvar, QB Pham, NTT Linh, JP Tiefenbacher Geocarto International 37 (13), 3877-3911, 2022	60	2022
Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran M Panahi, K Khosravi, S Ahmad, S Panahi, S Heddam, AM Melesse, ... Journal of Hydrology: Regional Studies 35, 100825, 2021	50	2021
A novel intelligence approach of a sequential minimal optimization-based support vector machine for landslide susceptibility mapping BT Pham, I Prakash, W Chen, HB Ly, LS Ho, E Omidvar, VP Tran, ... Sustainability 11 (22), 6323, 2019	47	2019
Watershed prioritization in order to implement soil and water conservation practices M Fallah, A Kavian, E Omidvar Environmental Earth Sciences 75, 1-17, 2016	44	2016
Landslide susceptibility mapping using multiple regression and GIS tools in Tajan basin, north of Iran. SM Eshghabad, K Solaimani, E Omidvar	27	2012
A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning M Panahi, K Khosravi, A Golkarian, M Roostaei, R Barzegar, E Omidvar, ... Geocarto International 37 (26), 14065-14087, 2022	22	2022
An optimization on machine learning algorithms for mapping snow avalanche susceptibility P Yariyan, E Omidvar, F Minaei, R Ali Abbaspour, JP Tiefenbacher Natural Hazards, 1-36, 2022	17	2022
The Application of RUSLE Model in Spatial DistributionDetermination of Soil loss Hazard M Mohammadi, M Fallah, A Kavian, L Gholami, E Omidvar Iranian journal of Ecohydrology 3 (4), 645-658, 2016	16	2016
Evaluation and prediction of meteorological drought conditions using time-series and genetic programming models E Omidvar, ZN Tahroodi Journal of Earth System Science 128, 1-16, 2019	13	2019
Efficiency of some meteorological drought indices in different time scales (case study: Tajan Basin, Iran) S Mashari Eshghabad, E Omidvar, K Solaimani Ecopersia 2 (1), 441-453, 2014	13	2014
Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models K Khosravi, A Golkarian, R Barzegar, MT Aalami, S Heddam, E Omidvar, ... Pedosphere 33 (3), 479-495, 2023	10	2023

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