What is she best known for?
The fields of study she is best known for:
- Quantum mechanics
- Mathematical analysis
- Geometry
Her primary areas of investigation include Classical mechanics, Mechanics, Couette flow, Mathematical analysis and Bifurcation.
Her Classical mechanics research is multidisciplinary, incorporating elements of Hopf bifurcation, Fourier transform, Attractor and Quasiperiodicity.
Her biological study spans a wide range of topics, including Rotating spheres, Viscosity and Amplitude.
Her studies in Couette flow integrate themes in fields like Turbulence and Laminar flow.
Her Mathematical analysis study incorporates themes from Navier–Stokes equations, Pitchfork bifurcation and Nonlinear system.
Her Bifurcation research incorporates themes from Flow, Instability and Rotational symmetry.
Her most cited work include:
- Order within chaos : towards a deterministic approach to turbulence (338 citations)
- Parametric instability of the interface between two fluids (298 citations)
- Spiral-wave dynamics in a simple model of excitable media: The transition from simple to compound rotation. (228 citations)
What are the main themes of her work throughout her whole career to date?
Laurette S. Tuckerman mainly focuses on Mechanics, Classical mechanics, Turbulence, Reynolds number and Couette flow.
In her study, Temperature gradient is inextricably linked to Bifurcation, which falls within the broad field of Mechanics.
Her Classical mechanics study integrates concerns from other disciplines, such as Wavelength, Mathematical analysis, Linear stability, Amplitude and Wake.
Her Turbulence research is multidisciplinary, relying on both Shear flow, Hagen–Poiseuille equation and Laminar flow.
Her study in Reynolds number is interdisciplinary in nature, drawing from both Flow, Vorticity and Wavenumber.
The study incorporates disciplines such as Plane, Fourier transform and Pipe flow in addition to Couette flow.
She most often published in these fields:
- Mechanics (49.04%)
- Classical mechanics (32.48%)
- Turbulence (22.29%)
What were the highlights of her more recent work (between 2016-2021)?
- Mechanics (49.04%)
- Turbulence (22.29%)
- Reynolds number (20.38%)
In recent papers she was focusing on the following fields of study:
Laurette S. Tuckerman spends much of her time researching Mechanics, Turbulence, Reynolds number, Mathematical analysis and Flow.
The various areas that Laurette S. Tuckerman examines in her Mechanics study include Faraday cage and Classical mechanics.
Her Turbulence research is multidisciplinary, incorporating perspectives in Mathematical physics, Vortex, Thermal equilibrium and Euler equations.
The concepts of her Reynolds number study are interwoven with issues in Couette flow, Shear flow, Pipe flow and Hagen–Poiseuille equation.
Her Mathematical analysis research incorporates elements of Hopf bifurcation, Eigenvalues and eigenvectors and Mean flow.
Her research integrates issues of Plane and Laminar flow in her study of Flow.
Between 2016 and 2021, her most popular works were:
- Universal continuous transition to turbulence in a planar shear flow (63 citations)
- Patterns in Wall-Bounded Shear Flows (29 citations)
- Couette-Poiseuille flow experiment with zero mean advection velocity: Subcritical transition to turbulence (21 citations)
In her most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Geometry
Laurette S. Tuckerman mainly focuses on Turbulence, Mechanics, Reynolds number, Instability and Taylor–Couette flow.
Shear flow and Hagen–Poiseuille equation are the core of her Mechanics study.
Her Hagen–Poiseuille equation research integrates issues from Pressure gradient, Classical mechanics and Velocimetry.
She has included themes like Flow, Couette flow, Laminar flow, Pipe flow and Plane in her Reynolds number study.
Her Couette flow study frequently draws connections between adjacent fields such as Mathematical analysis.
The study incorporates disciplines such as Vortex, Perturbation and Nonlinear system in addition to Taylor–Couette flow.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
