What is he best known for?
The fields of study he is best known for:
- Ecology
- Meteorology
- Statistics
John D. Wilson mainly investigates Turbulence, Wind speed, Mechanics, Classical mechanics and Meteorology.
His research in Turbulence intersects with topics in Particle and Probability density function.
John D. Wilson has researched Wind speed in several fields, including Surface roughness, Atmosphere and Radius.
His work on Turbulence modeling as part of general Mechanics research is frequently linked to Variance and Trajectory analysis, bridging the gap between disciplines.
His studies in Classical mechanics integrate themes in fields like Trajectory, Stratification and Settling.
His studies deal with areas such as Stochastic modelling, Length scale and Atmospheric sciences as well as Meteorology.
His most cited work include:
- Review of Lagrangian Stochastic Models for Trajectories in the Turbulent Atmosphere (323 citations)
- Backward-Time Lagrangian Stochastic Dispersion Models and Their Application to Estimate Gaseous Emissions (295 citations)
- Deducing Ground-to-Air Emissions from Observed Trace Gas Concentrations: A Field Trial (236 citations)
What are the main themes of his work throughout his whole career to date?
Meteorology, Turbulence, Mechanics, Planetary boundary layer and Classical mechanics are his primary areas of study.
His research integrates issues of Flow, Windbreak and Atmospheric sciences in his study of Meteorology.
His Turbulence research includes themes of Dispersion, Probability density function and Computer simulation.
His Mechanics study incorporates themes from Settling and Dissipation.
John D. Wilson has researched Classical mechanics in several fields, including Particle, Eddy diffusion and Stochastic modelling.
The Wind speed study which covers Canopy that intersects with Length scale.
He most often published in these fields:
- Meteorology (35.34%)
- Turbulence (30.83%)
- Mechanics (24.06%)
What were the highlights of his more recent work (between 2010-2021)?
- Materials science (6.02%)
- Cyclotron (4.51%)
- Meteorology (35.34%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Materials science, Cyclotron, Meteorology, Atmospheric sciences and Dispersion.
When carried out as part of a general Meteorology research project, his work on Trajectory is frequently linked to work in Cold weather, therefore connecting diverse disciplines of study.
His work investigates the relationship between Trajectory and topics such as Scalar field that intersect with problems in Mechanics and Conditional expectation.
His Atmospheric sciences study combines topics in areas such as Agronomy, Crop, Windbreak, Turbulence modeling and Spring.
His Windbreak research focuses on Aerodynamics and how it connects with Anemometer and Wind speed.
John D. Wilson has included themes like Eddy diffusion, Convection–diffusion equation, Plume and Statistical physics in his Dispersion study.
Between 2010 and 2021, his most popular works were:
- An automated module for the separation and purification of cyclotron-produced 99mTcO4-. (51 citations)
- History of Lagrangian Stochastic Models for Turbulent Dispersion (35 citations)
- Production of technetium from a molybdenum metal target (25 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Ecology
- Statistics
His primary areas of study are Meteorology, Dispersion, Monin–Obukhov similarity theory, Molybdate and Statistical physics.
The Meteorology study combines topics in areas such as Atmospheric dispersion modeling and Mode.
His research in Dispersion intersects with topics in Stochastic modelling, Convection–diffusion equation, Classical mechanics and Numerical weather prediction.
His research investigates the connection between Monin–Obukhov similarity theory and topics such as Basis that intersect with issues in Statistical dispersion, Inverse and Shear velocity.
His Molybdate research incorporates elements of Pertechnetate, Radiochemistry, Elution and Extraction.
The various areas that he examines in his Statistical physics study include Turbulence modeling, Eddy diffusion, Schmidt number and Limit.
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.
