Babak Mohammadi

Environmental Engineering · 2009–2020

A researcher in the Science corpus: 8 papers; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 41 citations into it; #4,401 of 5,479 by trust here, #2,438 by citations
• Global and Planetary Change — 36 citations into it
• Artificial Intelligence — 34 citations into it
• Electrical and Electronic Engineering — 19 citations into it
• Water Science and Technology — 17 citations into it
• Renewable Energy, Sustainability and the Environment — 15 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Atmospheric Science — 9 citations into it; #3,735 of 4,804 by trust here, #2,536 by citations

Whom Babak Mohammadi trusts overall

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

1. Ozgur Kisi
2. Xin-She Yang
3. Mohammad Ali Ghorbani
4. Harish Garg
5. Roozbeh Moazenzadeh
6. Bei Gou
7. Shahaboddin Shamshirband
8. J. Almorox
9. Y. Radhika
10. Ravinesh C. Deo

Who trusts Babak Mohammadi overall

1. Ata Allah Taleizadeh
2. Pouya Aghelpour
3. Babak Jahani

Papers from Babak Mohammadi's perspective

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

1. Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression (Irrigation science)
2. Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
3. Model Induction with Support Vector Machines: Introduction and Applications
4. Artificial intelligence based models for stream-flow forecasting: 2000-2015
5. Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane…
6. Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran (Theoretical and Applied Climatology)
7. Predicting monthly streamflow using data‐driven models coupled with data‐preprocessing techniques
8. Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree
9. A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting (Expert systems with applications)
10. Performance metrics for climate models

Their papers

• Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm (2020) — 229 citations
• Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature (2019) — 92 citations
• Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA (2019) — 124 citations
• Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran (2018) — 313 citations
• Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran (2018) — 184 citations
• A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran (2018) — 125 citations
• An EOQ model for perishable product with special sale and shortage (2013) — 107 citations
• Optimal Placement of PMUs for Power System Observability Using Topology Based Formulated Algorithms (2009) — 81 citations