Mohammad Valipour

Environmental Engineering · 2012–2017

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 6 citations into it; #713 of 5,479 by trust here, #1,593 by citations
• Global and Planetary Change — 6 citations into it; #2,570 of 10,225 by trust here, #6,997 by citations

Whom Mohammad Valipour trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Surajit Chattopadhyay
2. M. C. V. Ramírez
3. Holger R. Maier
4. W. Enders
5. Goutami Chattopadhyay
6. Haroldo Fraga de Campos Velho
7. Ashu Jain
8. N. J. Ferreira
9. Graeme C. Dandy
10. M. Khoshravesh

Who trusts Mohammad Valipour overall

1. M. Khoshravesh
2. Hamid Moeeni
3. Gillian Harrison
4. Mohammad Ali Gholami Sefidkouhi
5. Amir Mosavi
6. Hossein Bonakdari
7. Christian Thiel
8. Georgia A. Papacharalampous
9. Pınar Öztürk
10. Anurag Malik

Papers from Mohammad Valipour's perspective

Ordered by how strongly the researchers Mohammad Valipour trusts endorse each paper. Same corpus, a different order for every researcher.

1. Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
2. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions (Environmental Modelling & Software)
3. Estimating non-linear ARMA models using Fourier coefficients
4. Estimating Evapotranspiration using Artificial Neural Network
5. Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave
6. Application of Bayesian Model Averaging Approach to Multimodel Ensemble Hydrologic Forecasting
7. SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
8. Sprinkle and Trickle Irrigation System Design Using Tapered Pipes for Pressure Loss Adjusting
9. Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms
10. Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations

Their papers

• Parameters Estimate of Autoregressive Moving Average and Autoregressive Integrated Moving Average Models and Compare Their Ability for Inflow Forecasting (2012) — 134 citations
• Estimation of reference evapotranspiration using multivariate fractional polynomial, Bayesian regression, and robust regression models in three arid environments (2017) — 80 citations
• How Much Meteorological Information Is Necessary to Achieve Reliable Accuracy for Rainfall Estimations (2016) — 165 citations
• Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms (2016) — 308 citations
• Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir (2013) — 829 citations
• Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave (2012) — 165 citations
• Sprinkle and Trickle Irrigation System Design Using Tapered Pipes for Pressure Loss Adjusting (2012) — 177 citations