What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Oxygen
- Catalysis
The scientist’s investigation covers issues in Adsorption, Physisorption, Porosity, Characterization and Microporous material.
His Adsorption research integrates issues from Porous medium, Mesoporous material and Nitrogen.
In his research, Oxygen is intimately related to Sorption isotherm, which falls under the overarching field of Physisorption.
His study in the field of Porosimetry also crosses realms of Gas solid.
His research integrates issues of Nanoporous, Porous solids, Molecule and Nanopore in his study of Characterization.
His biological study deals with issues like Mineralogy, which deal with fields such as Supercritical adsorption.
His most cited work include:
- Reporting physisorption data for gas/solid systems with special reference to the determination of surface area and porosity (Recommendations 1984) (16146 citations)
- Adsorption, Surface Area and Porosity (8406 citations)
- Physisorption of gases, with special reference to the evaluation of surface area and pore size distribution (IUPAC Technical Report) (5103 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Adsorption, Inorganic chemistry, Microporous material, Physisorption and Porosity.
He studies Capillary condensation, a branch of Adsorption.
His studies in Inorganic chemistry integrate themes in fields like Oxide, Water vapor, Calcination, Aqueous solution and Chloride.
His Microporous material research is multidisciplinary, incorporating perspectives in Carbon, Molecule, Mineralogy and Chromatography.
As a member of one scientific family, Kenneth S. W. Sing mostly works in the field of Physisorption, focusing on Characterization and, on occasion, Porous solids.
His Porosity research is multidisciplinary, incorporating elements of Crystallography, Monolayer and Ammonia.
He most often published in these fields:
- Adsorption (58.28%)
- Inorganic chemistry (35.76%)
- Microporous material (29.80%)
What were the highlights of his more recent work (between 2004-2015)?
- Adsorption (58.28%)
- Physisorption (22.52%)
- Porosity (21.19%)
In recent papers he was focusing on the following fields of study:
Kenneth S. W. Sing spends much of his time researching Adsorption, Physisorption, Porosity, Inorganic chemistry and Microporous material.
His research in Adsorption is mostly focused on BET theory.
His research integrates issues of Saturation, Monolayer, Nanotechnology and Kelvin equation in his study of Physisorption.
His Porosity study integrates concerns from other disciplines, such as Molecule and Capillary condensation.
His Inorganic chemistry research is multidisciplinary, relying on both Oxide, Texture, Amorphous solid, Catalysis and Aluminium.
His Microporous material study also includes
- Mesoporous material which is related to area like Nitrogen and Ostwald ripening,
- Calcination, which have a strong connection to Ammonium carbonate.
Between 2004 and 2015, his most popular works were:
- Physisorption of gases, with special reference to the evaluation of surface area and pore size distribution (IUPAC Technical Report) (5103 citations)
- Surface Area and Porosity (1115 citations)
- Reporting Physisorption Data for Gas/Solid Systems (623 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Oxygen
- Catalysis
Kenneth S. W. Sing mainly investigates Adsorption, Microporous material, Chemical nomenclature, Porosimetry and Physisorption.
His Adsorption study frequently draws connections between adjacent fields such as Crystallinity.
His Microporous material study incorporates themes from Inorganic chemistry, Porosity and Mesoporous material.
His Porosity study often links to related topics such as Chloride.
Kenneth S. W. Sing works mostly in the field of Porosimetry, limiting it down to topics relating to Capillary condensation and, in certain cases, Analytical chemistry, as a part of the same area of interest.
Physisorption is closely attributed to Kelvin equation in his study.
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.
