What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
Correlation dimension, Statistics, Hydrology, Chaotic and Climatology are his primary areas of study.
His biological study spans a wide range of topics, including k-nearest neighbors algorithm, Series, Curse of dimensionality and Identification.
His Statistics study incorporates themes from Multi-objective optimization and Baseflow.
In general Hydrology, his work in Hydrology and DNS root zone is often linked to Phase space and Crop yield linking many areas of study.
His work deals with themes such as Autocorrelation, Time series and Nonlinear system, which intersect with Chaotic.
His studies in Climatology integrate themes in fields like Global warming and Meteorology, Precipitation.
His most cited work include:
- River flow forecasting: use of phase-space reconstruction and artificial neural networks approaches (253 citations)
- Chaos theory in hydrology: important issues and interpretations (237 citations)
- Droughts in a warming climate: A global assessment of Standardized precipitation index (SPI) and Reconnaissance drought index (RDI) (172 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Climatology, Streamflow, Hydrology, Drainage basin and Statistics.
His research investigates the connection with Climatology and areas like Precipitation which intersect with concerns in Evapotranspiration.
While the research belongs to areas of Streamflow, he spends his time largely on the problem of Complex network, intersecting his research to questions surrounding Node and Scale.
His Drainage basin research is multidisciplinary, relying on both Structural basin, Flood myth and Physical geography.
The Statistics study combines topics in areas such as Algorithm, Chaotic, Series and Correlation dimension.
His study looks at the relationship between Correlation dimension and fields such as Nonlinear system, as well as how they intersect with chemical problems.
He most often published in these fields:
- Climatology (37.73%)
- Streamflow (36.94%)
- Hydrology (28.23%)
What were the highlights of his more recent work (between 2018-2021)?
- Climatology (37.73%)
- Streamflow (36.94%)
- Drainage basin (24.54%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Climatology, Streamflow, Drainage basin, Complex network and Water resources.
Bellie Sivakumar has researched Climatology in several fields, including Entropy, Autocorrelation, Precipitation and Spatial variability.
His Streamflow research is multidisciplinary, incorporating perspectives in Betweenness centrality and Tributary.
His Drainage basin research is under the purview of Hydrology.
His Complex network research includes elements of Data mining, Modularity, Clustering coefficient, Cluster analysis and Scale.
His Global warming research extends to the thematically linked field of Water resources.
Between 2018 and 2021, his most popular works were:
- Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach (35 citations)
- Climatic and hydrologic controls on net primary production in a semiarid loess watershed (22 citations)
- Forecasting of water level in multiple temperate lakes using machine learning models (21 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
Bellie Sivakumar mainly investigates Algorithm, Physical geography, Loess, Drainage basin and Communication channel.
His research in Algorithm focuses on subjects like Series, which are connected to Decomposition, Meteorology, Symlet, Haar and Artificial neural network.
The study incorporates disciplines such as Soil water, Soil and Water Assessment Tool, Evapotranspiration and Water cycle in addition to Physical geography.
His Loess study combines topics in areas such as Hydrology, Watershed and Sediment.
His Drainage basin research incorporates themes from Elevation, Pixel, Raster graphics, Drainage and Digital elevation model.
Bellie Sivakumar has researched Wavelet in several fields, including Climatology, Precipitation and Mean squared error, Regression analysis, Statistics.
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