What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Molecule
- Geometry
Paul G. Mezey mostly deals with Computational chemistry, Molecule, Electron density, Ab initio and Statistical physics.
His Computational chemistry research is multidisciplinary, incorporating elements of Quantum chemical, Ab initio quantum chemistry methods, Energy, Van der Waals radius and Pyrazole.
His Molecule study combines topics from a wide range of disciplines, such as Nanotechnology, Chemical similarity, Chemical bond, Fuzzy logic and Density matrix.
His Electron density study integrates concerns from other disciplines, such as Chemical physics, Macromolecule and Basis set.
His Ab initio research is multidisciplinary, relying on both Quality and Molecular physics.
The concepts of his Statistical physics study are interwoven with issues in Similarity, Measure and Elementary charge.
His most cited work include:
- A fast intrinsic localization procedure applicable for ab initio and semiempirical linear combination of atomic orbital wave functions (1149 citations)
- Potential Energy Hypersurfaces (272 citations)
- Shape in Chemistry: An Introduction to Molecular Shape and Topology (171 citations)
What are the main themes of his work throughout his whole career to date?
Computational chemistry, Molecule, Electron density, Ab initio and Statistical physics are his primary areas of study.
Within one scientific family, Paul G. Mezey focuses on topics pertaining to Potential energy under Computational chemistry, and may sometimes address concerns connected to Potential energy surface.
His work carried out in the field of Molecule brings together such families of science as Chemical physics, Shape analysis and Space, Topology.
His work in Topology covers topics such as Surface which are related to areas like Topology.
His Electron density study incorporates themes from Density matrix, Quantum chemistry, Crystallography and Fuzzy logic.
The various areas that Paul G. Mezey examines in his Ab initio study include Triplet state, Macromolecule and Atomic physics.
He most often published in these fields:
- Computational chemistry (29.17%)
- Molecule (28.39%)
- Electron density (24.74%)
What were the highlights of his more recent work (between 2007-2021)?
- Electron density (24.74%)
- Molecule (28.39%)
- Statistical physics (15.10%)
In recent papers he was focusing on the following fields of study:
Paul G. Mezey mainly investigates Electron density, Molecule, Statistical physics, Computational chemistry and Chemical physics.
His research in Electron density intersects with topics in Fragment, Bond length, Boron, Geometry and Fuzzy logic.
He interconnects Reactivity and Electron, Effective nuclear charge in the investigation of issues within Molecule.
His Statistical physics research integrates issues from Density matrix, Hierarchy, Pure mathematics and Expectation value.
Paul G. Mezey combines subjects such as Quantum chemical, Inverse, Stereochemistry, Shape analysis and Structural chemistry with his study of Computational chemistry.
His work in Chemical physics addresses subjects such as Characterization, which are connected to disciplines such as Symmetry.
Between 2007 and 2021, his most popular works were:
- Linear-Scaling Techniques in Computational Chemistry and Physics (64 citations)
- Fuzzy electron density fragments in macromolecular quantum chemistry, combinatorial quantum chemistry, functional group analysis, and shape-activity relations. (22 citations)
- Electron density shape analysis of a family of through-space and through-bond interactions (18 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Molecule
- Organic chemistry
His main research concerns Electron density, Molecule, Chemical physics, Computational chemistry and Statistical physics.
His study in Electron density is interdisciplinary in nature, drawing from both van der Waals force, Nanotechnology, Elementary charge and Atoms in molecules.
His biological study spans a wide range of topics, including Electron, Continuum mechanics, Pure mathematics and Chirality.
His Chemical physics research incorporates themes from Characterization, Group, Classical mechanics and Nanoneedle.
His Computational chemistry research is multidisciplinary, incorporating perspectives in Quantitative structure–activity relationship, Shape analysis, Quantum chemical and Aromaticity.
His studies in Statistical physics integrate themes in fields like Computational physics, Lone pair and Atomic radius.
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