What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Organic chemistry
- Combinatorics
His primary scientific interests are in Combinatorics, Graph theory, Topological index, Wiener index and Quantitative structure–activity relationship.
His research in Combinatorics tackles topics such as Upper and lower bounds which are related to areas like Invariant.
The Graph theory study combines topics in areas such as Graph, Molecular graph, Adjacency matrix and Molecular orbital.
His Molecular orbital research is multidisciplinary, incorporating elements of Conjugated system, Computational chemistry and Theoretical physics.
His Topological index research integrates issues from Discrete mathematics, Relation and Harmonic index.
His Wiener index research is multidisciplinary, relying on both Characterization, Development, Distance matrix and Eigenvalues and eigenvectors.
His most cited work include:
- Chemical Graph Theory (1342 citations)
- Graph theory and molecular orbitals. Total φ-electron energy of alternant hydrocarbons (1033 citations)
- Structure-radical scavenging activity relationships of flavonoids (470 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Combinatorics, Computational chemistry, Discrete mathematics, Topological index and Quantitative structure–activity relationship.
Nenad Trinajstić combines Combinatorics and Index in his studies.
His work carried out in the field of Computational chemistry brings together such families of science as Molecule, Aromaticity, Conjugated system, Graph theory and Stereochemistry.
His Quantitative structure–activity relationship study focuses on Molecular descriptor in particular.
As a part of the same scientific study, Nenad Trinajstić usually deals with the Wiener index, concentrating on Distance matrix and frequently concerns with Matrix.
His work focuses on many connections between Connectivity and other disciplines, such as Mathematical chemistry, that overlap with his field of interest in Upper and lower bounds.
He most often published in these fields:
- Combinatorics (31.92%)
- Computational chemistry (14.96%)
- Discrete mathematics (12.22%)
What were the highlights of his more recent work (between 2004-2019)?
- Combinatorics (31.92%)
- Topological index (10.97%)
- Graph (6.23%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Combinatorics, Topological index, Graph, Connectivity and Mathematical chemistry.
His work on Wiener index, Vertex and Distance matrix is typically connected to Reciprocal as part of general Combinatorics study, connecting several disciplines of science.
His study in Wiener index is interdisciplinary in nature, drawing from both Graph and Molecular graph.
In the field of Topological index, his study on Chemical graph theory overlaps with subjects such as Index.
His Graph research incorporates elements of Molecular descriptor and Invariant.
Nenad Trinajstić has researched Quantitative structure–activity relationship in several fields, including Computational chemistry, Biological system, Organic chemistry and Flavonoid.
Between 2004 and 2019, his most popular works were:
- SAR and QSAR of the Antioxidant Activity of Flavonoids (236 citations)
- On a novel connectivity index (204 citations)
- On general sum-connectivity index (182 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Organic chemistry
- Molecule
Nenad Trinajstić mostly deals with Combinatorics, Mathematical chemistry, Connectivity, Graph and Topological index.
His Combinatorics study incorporates themes from Discrete mathematics and Upper and lower bounds.
Nenad Trinajstić interconnects Pure mathematics and Forcing in the investigation of issues within Mathematical chemistry.
His study looks at the intersection of Connectivity and topics like Metric dimension with Outerplanar graph, Pancyclic graph and Molecular graph.
His research investigates the connection with Topological index and areas like Harmonic index which intersect with concerns in Tree.
His research investigates the connection between Wiener index and topics such as Distance matrix that intersect with problems in Matrix, Eigenvalues and eigenvectors, Molecule and Information theory.
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