What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mechanics
- Thermodynamics
His primary areas of study are Mechanics, Mach number, Turbulence, Optics and Supersonic speed.
Choked flow is the focus of his Mechanics research.
His work deals with themes such as Boundary layer thickness, Flow separation, Boundary layer and Unstart, which intersect with Mach number.
His Turbulence study combines topics from a wide range of disciplines, such as Jet and Dissipation.
His work investigates the relationship between Optics and topics such as Isolator that intersect with problems in Ramjet and Scramjet.
The study incorporates disciplines such as Schlieren, Compressibility, Mie scattering and Flow visualization, Schlieren photography in addition to Supersonic speed.
His most cited work include:
- Low-Frequency Unsteadiness of Shock Wave/Turbulent Boundary Layer Interactions (317 citations)
- Large-scale structure and entrainment in the supersonic mixing layer (299 citations)
- Effects of upstream boundary layer on the unsteadiness of shock-induced separation (223 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mechanics, Mach number, Turbulence, Boundary layer and Jet.
His Mechanics research is multidisciplinary, relying on both Flashback and Shock.
His research integrates issues of Optics, Isolator, Shock and Choked flow, Supersonic speed in his study of Mach number.
His research investigates the connection with Turbulence and areas like Dissipation which intersect with concerns in Field.
His Boundary layer research is multidisciplinary, incorporating elements of Shock wave, Compression and Wind tunnel.
As a part of the same scientific study, Noel T. Clemens usually deals with the Jet, concentrating on Atomic physics and frequently concerns with Plasma.
He most often published in these fields:
- Mechanics (58.66%)
- Mach number (33.07%)
- Turbulence (30.71%)
What were the highlights of his more recent work (between 2014-2021)?
- Mechanics (58.66%)
- Mach number (33.07%)
- Boundary layer (25.98%)
In recent papers he was focusing on the following fields of study:
Noel T. Clemens mainly focuses on Mechanics, Mach number, Boundary layer, Flashback and Turbulence.
His Mach number research includes themes of Isolator, Shock, Static pressure, Compression and Wind tunnel.
He interconnects Scramjet, Ramjet, Supersonic speed and Control theory in the investigation of issues within Isolator.
As a member of one scientific family, Noel T. Clemens mostly works in the field of Boundary layer, focusing on Meteorology and, on occasion, Plasma.
His research in Turbulence intersects with topics in Soot, Lyapunov exponent, Nonlinear system, Jet and Volume fraction.
His Jet study integrates concerns from other disciplines, such as Temperature measurement, Raman scattering, Optics and Reynolds number.
Between 2014 and 2021, his most popular works were:
- Control of mean separation in shock boundary layer interaction using pulsed plasma jets (45 citations)
- Experimental investigation of upstream flame propagation during boundary layer flashback of swirl flames (27 citations)
- Effect of Upstream Boundary Layer on Unsteadiness of Swept-Ramp Shock/Boundary Layer Interactions at Mach 2 (20 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mechanics
- Thermodynamics
His main research concerns Mechanics, Mach number, Boundary layer, Particle image velocimetry and Shock.
He studies Mechanics, namely Flow.
The concepts of his Mach number study are interwoven with issues in Flow, Optics, Shock wave, Shock and Compression.
His Particle image velocimetry research is multidisciplinary, incorporating perspectives in Flow visualization and Swept wing.
The various areas that Noel T. Clemens examines in his Shock study include Boundary layer thickness, Scramjet, Isolator and Mach wave.
In his study, Jet is inextricably linked to Reynolds number, which falls within the broad field of Boundary layer thickness.
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