What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical analysis
- Random variable
The scientist’s investigation covers issues in Statistical physics, Statistics, Spatial dependence, Scale and Mesoscale meteorology.
The Statistical physics study combines topics in areas such as Probability distribution, Detrended fluctuation analysis, Hurst exponent, Random variable and Stochastic process.
In the subject of general Random variable, his work in Dependent random variables is often linked to Space time, thereby combining diverse domains of study.
His research integrates issues of Spatial ecology, Random function and Independent and identically distributed random variables in his study of Stochastic process.
His studies in Meteorology integrate themes in fields like Point process and Scaling.
His study connects Spatial variability and Scaling.
His most cited work include:
- A statistical analysis of mesoscale rainfall as a random cascade (419 citations)
- Multiscaling properties of spatial rainfall and river flow distributions (408 citations)
- A representation of an instantaneous unit hydrograph from geomorphology (402 citations)
What are the main themes of his work throughout his whole career to date?
Scaling, Statistical physics, Hydrology, Statistics and Drainage basin are his primary areas of study.
His Scaling research is multidisciplinary, incorporating elements of Flow, Flood myth, Power law and Spatial dependence.
The concepts of his Statistical physics study are interwoven with issues in Stochastic process, Probability distribution, Independent and identically distributed random variables and Mesoscale meteorology.
The Probability distribution study which covers Scale parameter that intersects with Fractal.
Vijay K. Gupta usually deals with Hydrology and limits it to topics linked to Spatial variability and Spatial ecology.
His Drainage basin research incorporates themes from Hydrology and Surface runoff.
He most often published in these fields:
- Scaling (34.62%)
- Statistical physics (23.08%)
- Hydrology (23.08%)
What were the highlights of his more recent work (between 2006-2017)?
- Scaling (34.62%)
- Drainage basin (14.42%)
- Hydrology (23.08%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Scaling, Drainage basin, Hydrology, Power law and Surface runoff.
His Scaling research is multidisciplinary, relying on both Flow, Atmospheric sciences, Statistical physics, Spatial dependence and Hydrograph.
His Drainage basin study incorporates themes from Flood myth and Hydrology.
When carried out as part of a general Hydrology research project, his work on Water balance and Flood frequency analysis is frequently linked to work in Natural, therefore connecting diverse disciplines of study.
The various areas that Vijay K. Gupta examines in his Surface runoff study include Meteorology and Spatial variability.
His Probability distribution research is included under the broader classification of Statistics.
Between 2006 and 2017, his most popular works were:
- Generalizing a nonlinear geophysical flood theory to medium‐sized river networks (68 citations)
- Climate Change: The Need to Consider Human Forcings Besides Greenhouse Gases (61 citations)
- Towards a Nonlinear Geophysical Theory of Floods in River Networks: An Overview of 20 Years of Progress (59 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical analysis
- Geometry
His primary scientific interests are in Drainage basin, Surface runoff, Structure, Hydrology and Scaling.
His biological study spans a wide range of topics, including Flood myth, Geophysics and Spatial variability.
His Structure research incorporates elements of Class, Limit and Tributary.
His work in the fields of Hydrology, such as Flood frequency analysis, overlaps with other areas such as Landscape ecology.
Vijay K. Gupta interconnects Meteorology, Atmospheric sciences and Power law in the investigation of issues within Scaling.
His work carried out in the field of Meteorology brings together such families of science as Advection, Spatial dependence and Hydrograph.
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