V. Smakhtin
Environmental Engineering · 2007–2015
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 8 citations into it; #3,405 of 5,479 by trust here, #3,500 by citations
- Water Science and Technology — 6 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom V. Smakhtin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts V. Smakhtin overall
Papers from V. Smakhtin's perspective
Ordered by how strongly the researchers V. Smakhtin 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)
- Learning internal representations by error propagation
- A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting
- Global water resources: vulnerability from climate change and population growth. (Science)
- Adapting food systems of the Indo-Gangetic plains to global environmental change: key information needs to improve policy formulation
- The energy-irrigation nexus and its impact on groundwater markets in eastern Indo-Gangetic basin: Evidence from West Bengal, India
- Artificial neural network technique for rainfall forecasting applied to the São Paulo region
- Forecasting daily streamflow using hybrid ANN models
- Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
- Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
Their papers
- Global hydrological models: a review (2015) — 301 citations
- The Indus and the Ganges: river basins under extreme pressure (2010) — 111 citations
- Drought forecasting using artificial neural networks and time series of drought indices (2007) — 334 citations