Vahid Nourani
Environmental Engineering · 2009–2019
A researcher in the Science corpus: 9 papers; trusts 26 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 63 citations into it; #927 of 5,479 by trust here, #747 by citations
- Water Science and Technology — 37 citations into it; #378 of 1,711 by trust here, #494 by citations
- Electrical and Electronic Engineering — 27 citations into it; #4,769 of 16,539 by trust here, #6,224 by citations
- Artificial Intelligence — 25 citations into it; #21,772 of 35,345 by trust here, #23,731 by citations
- Global and Planetary Change — 24 citations into it; #4,691 of 10,225 by trust here, #5,517 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
- Geophysics — 5 citations into it
Whom Vahid Nourani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ozgur Kisi
- Stéphane Mallat
- Tae‐Woong Kim
- Wensheng Wang
- Vladimir Naumovich Vapnik
- Simon S. Haykin
- Vladimir Naumovich Vapni
- David E. Goldberg
- Jalal Shiri
- John R. Koza
Who trusts Vahid Nourani overall
- Masoud Karbasi
- Ravinesh C. Deo
- Hamid Moeeni
- Jan Adamowski
- A. H. Baghanam
- Hossein Bonakdari
- A. Nury
- Ozgur Kisi
- Anurag Malik
- Qi Feng
Papers from Vahid Nourani's perspective
Ordered by how strongly the researchers Vahid Nourani trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
- Support-Vector Networks
- The Nature of Statistical Learning Theory
- A wavelet tour of signal processing
- Data-driven modelling: some past experiences and new approaches
- Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application (Environmental Modelling & Software)
- Neural Networks: A Comprehensive Foundation
- Detecting change in vague interpretations of landscapes
- Genetic Algorithms in Search Optimization and Machine Learning
- Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.
Their papers
- A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation (2009) — 319 citations
- Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review (2014) — 675 citations
- Hybrid Wavelet-M5 Model Tree for Rainfall-Runoff Modeling (2019) — 55 citations
- A review of the artificial intelligence methods in groundwater level modeling (2019) — 373 citations
- A hybrid support vector regression–firefly model for monthly rainfall forecasting (2018) — 117 citations
- Spatiotemporal groundwater level modeling using hybrid artificial intelligence-meshless method (2016) — 85 citations
- Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process (2011) — 345 citations
- THREE GEOMORPHOLOGICAL RAINFALL–RUNOFF MODELS BASED ON THE LINEAR RESERVOIR CONCEPT (2009) — 63 citations
- A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling (2009)