What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Statistics
- Ion
David Topping mainly investigates Aerosol, Environmental chemistry, Particulates, Particle size and Surface tension.
David Topping integrates Aerosol with Environmental science in his study.
His Environmental chemistry study integrates concerns from other disciplines, such as Sea salt and Nitrate.
His study in Particulates is interdisciplinary in nature, drawing from both Sea salt aerosol, Ultrafine particle, Differential mobility analyzer and Deposition.
His work carried out in the field of Surface tension brings together such families of science as Organic compound, Work and Activity coefficient.
His studies in Amorphous solid integrate themes in fields like Volatility, Compressed fluid, Atmospheric temperature range and Physical chemistry.
His most cited work include:
- Hygroscopic properties of submicrometer atmospheric aerosol particles measured with H-TDMA instruments in various environments—a review (332 citations)
- General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI) - integrating aerosol research from nano to global scales (314 citations)
- A curved multi-component aerosol hygroscopicity model framework: Part 1 Inorganic compounds (183 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Aerosol, Environmental science, Environmental chemistry, Vapor pressure and Analytical chemistry.
His Aerosol research incorporates elements of Viscosity, Activity coefficient, Surface tension, Particle size and Relative humidity.
The Relative humidity study combines topics in areas such as Analyser and Cloud condensation nuclei.
David Topping has included themes like Particulates and Atmospheric chemistry in his Environmental chemistry study.
His biological study spans a wide range of topics, including Saturation, Physical chemistry and Volatility.
His research investigates the connection between Saturation and topics such as Atmospheric temperature range that intersect with problems in Compressed fluid.
He most often published in these fields:
- Aerosol (63.10%)
- Environmental science (22.02%)
- Environmental chemistry (14.29%)
What were the highlights of his more recent work (between 2019-2021)?
- Aerosol (63.10%)
- Python (2.98%)
- Analytical chemistry (13.10%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Aerosol, Python, Analytical chemistry, Computational science and Environmental science.
His Aerosol research incorporates themes from Chemical physics, Viscosity and Activity coefficient.
His research integrates issues of Humidity, Evaporation and Work in his study of Viscosity.
The various areas that he examines in his Analytical chemistry study include Saturation, Enthalpy of fusion, Melting point and Knudsen number.
The study incorporates disciplines such as Differential scanning calorimetry, Compressed fluid and Atmospheric temperature range in addition to Saturation.
David Topping works mostly in the field of Knudsen number, limiting it down to topics relating to Orders of magnitude and, in certain cases, Vapor pressure.
Between 2019 and 2021, his most popular works were:
- Real-time sensing of bioaerosols: Review and current perspectives (42 citations)
- Maternal carriage of Prevotella during pregnancy associates with protection against food allergy in the offspring (18 citations)
- A predictive group-contribution model for the viscosity of aqueous organic aerosol (10 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Ion
- Statistics
The scientist’s investigation covers issues in Aerosol, Graph, Causality, Stability and Representation.
His research in Aerosol intersects with topics in Aqueous solution and Air quality index.
His Graph research spans across into fields like Econometrics, Directed graph, Causal inference, Granger causality and Complex network.
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.
