What is he best known for?
The fields of study he is best known for:
- Geometry
- Mechanics
- Fluid dynamics
Bharathram Ganapathisubramani focuses on Turbulence, Boundary layer, Particle image velocimetry, Geometry and Classical mechanics.
His work focuses on many connections between Turbulence and other disciplines, such as Optics, that overlap with his field of interest in Boundary layer thickness.
Bharathram Ganapathisubramani interconnects Mach number, Vortex, Visualization, Flow visualization and Pattern recognition in the investigation of issues within Boundary layer.
His Particle image velocimetry research includes themes of K-epsilon turbulence model, Turbulence kinetic energy, Taylor microscale and Water tunnel.
The Geometry study combines topics in areas such as Direct numerical simulation and Length scale.
His research in Classical mechanics intersects with topics in Turbulence modeling, K-omega turbulence model, Wake and Vorticity.
His most cited work include:
- Characteristics of vortex packets in turbulent boundary layers (394 citations)
- Effects of upstream boundary layer on the unsteadiness of shock-induced separation (223 citations)
- Investigation of large-scale coherence in a turbulent boundary layer using two-point correlations (190 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mechanics, Turbulence, Boundary layer, Reynolds number and Particle image velocimetry.
His Turbulence research includes elements of Jet, Geometry, Optics and Classical mechanics.
Bharathram Ganapathisubramani combines subjects such as Mathematical analysis and Vorticity with his study of Classical mechanics.
His work in Boundary layer addresses subjects such as Mach number, which are connected to disciplines such as Shock.
The concepts of his Reynolds number study are interwoven with issues in Scaling, Mean flow, Wind tunnel and Wavenumber.
His studies in Particle image velocimetry integrate themes in fields like Vector field and Convection.
He most often published in these fields:
- Mechanics (59.27%)
- Turbulence (50.91%)
- Boundary layer (38.55%)
What were the highlights of his more recent work (between 2017-2021)?
- Mechanics (59.27%)
- Boundary layer (38.55%)
- Turbulence (50.91%)
In recent papers he was focusing on the following fields of study:
His main research concerns Mechanics, Boundary layer, Turbulence, Reynolds number and Drag.
His studies deal with areas such as Flapping and Synthetic jet as well as Mechanics.
His Boundary layer course of study focuses on Particle image velocimetry and Vorticity.
The study incorporates disciplines such as Turbine and Scaling in addition to Turbulence.
His Reynolds number research is multidisciplinary, relying on both Linear combination, Wavenumber, Space, Wave vector and Wind tunnel.
His Boundary layer thickness study incorporates themes from Geometry and Shear stress.
Between 2017 and 2021, his most popular works were:
- Characteristics of turbulent boundary layers over smooth surfaces with spanwise heterogeneities. (36 citations)
- Time-evolution of uniform momentum zones in a turbulent boundary layer (26 citations)
- The instantaneous structure of secondary flows in turbulent boundary layers (17 citations)
In his most recent research, the most cited papers focused on:
- Mechanics
- Geometry
- Fluid dynamics
The scientist’s investigation covers issues in Mechanics, Boundary layer, Turbulence, Reynolds number and Drag.
In his study, Kinematics, Thrust, Vortex shedding and Amplitude is strongly linked to Flapping, which falls under the umbrella field of Mechanics.
His work carried out in the field of Boundary layer brings together such families of science as Lambda, Flow and Synthetic jet.
His Turbulence research integrates issues from Flow and Mathematical analysis.
His Reynolds number study integrates concerns from other disciplines, such as Shear velocity, Particle image velocimetry, Wave vector, Wind tunnel and Scaling.
His research in Particle image velocimetry focuses on subjects like Computational physics, which are connected to Open-channel flow and Taylor microscale.
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