What is he best known for?
The fields of study he is best known for:
- Statistics
- Hydrology
- Irrigation
His scientific interests lie mostly in Hydrology, Evapotranspiration, Artificial neural network, Climatology and Hydrological modelling.
His research in Hydrology intersects with topics in Shuttle Radar Topography Mission and Monsoon.
His studies in Evapotranspiration integrate themes in fields like Machine learning, Water balance and Meteorology.
His study in the fields of Backpropagation under the domain of Artificial neural network overlaps with other disciplines such as Climatic data.
As a part of the same scientific study, Narendra Singh Raghuwanshi usually deals with the Climatology, concentrating on Spatial variability and frequently concerns with Precipitation, Penman–Monteith equation and Global warming.
His work on SWAT model as part of general Surface runoff study is frequently linked to Soil series, therefore connecting diverse disciplines of science.
His most cited work include:
- Estimating Evapotranspiration using Artificial Neural Network (359 citations)
- Wireless sensor networks for agriculture (350 citations)
- Identification and Prioritisation of Critical Sub-watersheds for Soil Conservation Management using the SWAT Model (178 citations)
What are the main themes of his work throughout his whole career to date?
Narendra Singh Raghuwanshi mainly focuses on Hydrology, Irrigation, Evapotranspiration, Surface runoff and Surface irrigation.
His Irrigation study integrates concerns from other disciplines, such as Water balance, Environmental engineering and Water resource management.
The concepts of his Evapotranspiration study are interwoven with issues in Artificial neural network, Meteorology and Water cycle.
His work carried out in the field of Surface runoff brings together such families of science as Soil conservation and Erosion.
His biological study spans a wide range of topics, including Infiltration, Inflow and Spatial variability.
His Drainage basin study combines topics in areas such as Shuttle Radar Topography Mission, Climatology and Flood myth.
He most often published in these fields:
- Hydrology (54.04%)
- Irrigation (35.40%)
- Evapotranspiration (30.43%)
What were the highlights of his more recent work (between 2018-2021)?
- Hydrology (54.04%)
- Evapotranspiration (30.43%)
- Irrigation (35.40%)
In recent papers he was focusing on the following fields of study:
His main research concerns Hydrology, Evapotranspiration, Irrigation, Drainage basin and Streamflow.
Hydrology is closely attributed to Monsoon in his research.
His Evapotranspiration research incorporates themes from Generalized linear model, Surface runoff and Meteorology.
Narendra Singh Raghuwanshi interconnects Environmental engineering, Crop and Water content in the investigation of issues within Irrigation.
Narendra Singh Raghuwanshi combines subjects such as Calibration, Shuttle Radar Topography Mission, Flood myth and Water level with his study of Drainage basin.
He has researched Streamflow in several fields, including Precipitation, Gamma distribution, Return period and MIKE 11.
Between 2018 and 2021, his most popular works were:
- Drought characterization over India under projected climate scenario (30 citations)
- Drought characterization over India under projected climate scenario (30 citations)
- A SWAT-Copula based approach for monitoring and assessment of drought propagation in an irrigation command (20 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Hydrology
- Irrigation
Narendra Singh Raghuwanshi mainly focuses on Hydrology, Climatology, Hydrograph, Streamflow and Flood myth.
His research in SWAT model and Surface runoff are components of Hydrology.
The Hydrograph study combines topics in areas such as Shuttle Radar Topography Mission and Water level.
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