| Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series P Aghelpour, V Varshavian Stochastic Environmental Research and Risk Assessment 34 (1), 33-50, 2020 | 61 | 2020 |
| Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran VV Pouya Aghelpour , Hadigheh Bahrami-Pichaghchi Stochastic Environmental Research and Risk Assessment 26 (4), 1615-1635, 2021 | 44* | 2021 |
| A multivariate drought forecasting in short and long-term horizons, using Multivariate SPI (MSPI) and data-driven approaches VV Pouya Aghelpour, Ozgur Kisi Journal of Hydrologic Engineering 26 (4), 2021 | 22 | 2021 |
| Time series prediction of seasonal precipitation in Iran, using data-driven models: a comparison under different climatic conditions VV Pouya Aghelpour, Vijay P. Singh Arabian Journal of Geosciences 14, 2021 | 20 | 2021 |
| Forecasting Different Types of Droughts Simultaneously Using Multivariate Standardized Precipitation Index (MSPI), MLP Neural Network, and Imperialistic Competitive Algorithm (ICA) P Aghelpour, V Varshavian Complexity 2021, 1-16, 2021 | 19 | 2021 |
| Trend analysis of minimum, maximum, and mean daily temperature extremes in several climatic regions of Iran V Varshavian, A Khalili, N Ghahreman, S Hajjam Journal of the Earth and Space Physics 37 (1), 169-179, 2011 | 17 | 2011 |
| Study on the impact of climate change on evapotranspiration in west of Iran M Lotfi, GA Kamali, AH Meshkatee, V Varshavian Arabian Journal of Geosciences 13, 1-11, 2020 | 11 | 2020 |
| Evaluating the impact of large-scale climatic indices as inputs for forecasting monthly river flow in Mazandaran Province, Iran P Aghelpour, H Bahrami-Pichaghchi, V Varshavian, R Graf, ... Pure and Applied Geophysics 179 (4), 1309-1331, 2022 | 8 | 2022 |
| Evaluating three supervised machine learning algorithms (LM, BR, and SCG) for daily pan evaporation estimation in a semi-arid region P Aghelpour, Z Bagheri-Khalili, V Varshavian, B Mohammadi Water 14 (21), 3435, 2022 | 7 | 2022 |
| Performance analysis of LARS-WG and SDSM downscaling models in simulating temperature and precipitation changes in the West of Iran M Lotfi, GA Kamali, AH Meshkatee, V Varshavian Modeling Earth Systems and Environment 8 (4), 4649-4659, 2022 | 5 | 2022 |
| Statistical analysis of first and last frost occurrences and length of frost free period during the past decades in different regions of Iran V Varshavian, N Ghahreman, A Khalili, S Hajjam Environmental Informatics Archives 5, 631-637, 2007 | 5 | 2007 |
| Comparing three types of data-driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions P Aghelpour, V Varshavian, M Khodamorad Pour, Z Hamedi Scientific Reports 12 (1), 17363, 2022 | 4 | 2022 |
| Predicting maximum temperatures using global climate models under RCP scenarios and microscaling LARS-WG and SDSM models in the west of the country VV Mohammad Lotfi, Gholam Ali Kamali, Amir Hussain Meshkatee Physical Geography Quarterly 14 (51), 115-130, 2021 | 4* | 2021 |
| The Impact of Teleconnection Phenomena on Shifting the Date of First Autumn and Last Spring Frost Events AASZFV VARSHAVIAN Physical Geography Research 52 (2), 295-311, 2020 | 4 | 2020 |
| Forecasting of potato early blight disease using different sets of meteorological data N Ghahreman, V Varshaviana, M Javan-Nikkhahb, A Liaghata Can. J. Basic Appl. Sci 3, 59-66, 2015 | 4 | 2015 |
| Study the trend of early and late frost occurrences, length of frost-free period and number of frost day to reduce of agricultural damages in several climatic regions of Iran V Varshavian, N Ghahreman, N KHALILI, S Hajjam AGRICULTURAL RESEARCH 7 (4), 39-48, 2008 | 4 | 2008 |
| Statistical downscaling of climate models projection of minimum temperature under RCP scenarios in Western of Iran M Lotfi, GA Kamali, AH Meshkatee, V Varshavian Journal of Agricultural Meteorology 26 (2), 3-13, 2020 | 3 | 2020 |
| Comparison of multiple linear regression and artificial intelligence models in estimating global solar radiation AA Sabziparvar, P Aghelpour, V Varshavian Physical Geography Research 51 (2), 353-372, 2019 | 2 | 2019 |
| Evaluating the predictability of eight Atmospheric-Oceanic signals affecting Iran’s Droughts, employing intelligence based and stochastic methods P Aghelpour, H Bahrami-Pichaghchi, V Varshavian, R Norooz-Valashedi Advances in Space Research 71 (5), 2394-2415, 2023 | 1 | 2023 |
| MODELING AND PROGNOSIS OF POTATO EARLY BLIGHT DISEASE USING METEOROLOGICAL VARIABLES AFFECTING THE SPORE POPULATION V VARSHAVIAN, N GHAHREMAN, NM JAVAN, A LIAGHAT, B FARHADI JOURNAL OF AGRICULTURAL METEOROLOGY 2 (2), 16-23, 2016 | 1 | 2016 |
Pouya AghelpourM.Sc. of Agricultural Meteorology, Department of Water Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, IranVerified email at agr.basu.ac.ir
