What is he best known for?
The fields of study he is best known for:
- Algebra
- Vector space
- Real number
Hans Schneider mainly investigates Combinatorics, Pure mathematics, Matrix, Diagonal and Discrete mathematics.
The Graph research Hans Schneider does as part of his general Combinatorics study is frequently linked to other disciplines of science, such as Ice cream, therefore creating a link between diverse domains of science.
His research investigates the connection with Pure mathematics and areas like Eigenvalues and eigenvectors which intersect with concerns in Modal matrix, Diagonalizable matrix, Hermitian matrix and Metzler matrix.
His Matrix research is multidisciplinary, incorporating perspectives in Cauchy distribution, Mathematical proof, Kronecker delta and Scaling.
His work in Mathematical proof addresses subjects such as Cone, which are connected to disciplines such as Positive-definite matrix.
His Discrete mathematics study which covers Nonnegative matrix that intersects with Defective matrix.
His most cited work include:
- Algebraic and topological aspects of feedback stabilization (304 citations)
- Some theorems on the inertia of general matrices (213 citations)
- Cross-Positive Matrices (164 citations)
What are the main themes of his work throughout his whole career to date?
Hans Schneider spends much of his time researching Combinatorics, Matrix, Pure mathematics, Discrete mathematics and Nonnegative matrix.
His research in Combinatorics focuses on subjects like Diagonal, which are connected to Uniqueness and Rank.
His research on Matrix also deals with topics like
- Scaling which is related to area like Mathematical proof,
- Hermitian matrix that intertwine with fields like Positive-definite matrix.
The Pure mathematics study combines topics in areas such as Mathematical analysis, Algebraic number, Algebra, Operator and System of linear equations.
He has researched Discrete mathematics in several fields, including Cone and Row equivalence.
His work on Metzler matrix, Convergent matrix and Centrosymmetric matrix as part of his general Nonnegative matrix study is frequently connected to Stochastic matrix, thereby bridging the divide between different branches of science.
He most often published in these fields:
- Combinatorics (54.17%)
- Matrix (35.12%)
- Pure mathematics (26.19%)
What were the highlights of his more recent work (between 2004-2019)?
- Combinatorics (54.17%)
- Matrix (35.12%)
- Discrete mathematics (24.40%)
In recent papers he was focusing on the following fields of study:
Hans Schneider mainly focuses on Combinatorics, Matrix, Discrete mathematics, Max algebra and Algebra.
His Combinatorics research incorporates elements of Diagonal, Nonnegative matrix and Regular polygon.
Hans Schneider has included themes like Ring, Convex geometry and Diagonal matrix in his Nonnegative matrix study.
His research in Matrix intersects with topics in Pure mathematics, Core, Algebraic number, Eigenvalues and eigenvectors and Orbit.
His biological study spans a wide range of topics, including Intersection, Schur complement and Linear algebra.
His Discrete mathematics research is multidisciplinary, relying on both Spectral radius, Scaling and Rank.
Between 2004 and 2019, his most popular works were:
- Generators, extremals and bases of max cones (92 citations)
- On visualization scaling, subeigenvectors and Kleene stars in max algebra (71 citations)
- APPLICATIONS OF MAX ALGEBRA TO DIAGONAL SCALING OF MATRICES (24 citations)
In his most recent research, the most cited papers focused on:
- Algebra
- Vector space
- Real number
His scientific interests lie mostly in Combinatorics, Discrete mathematics, Matrix, Positive-definite matrix and Eigenvalues and eigenvectors.
His Combinatorics research includes themes of Sequence and Mathematical proof.
His work deals with themes such as Diagonal, Scaling and Rank, which intersect with Discrete mathematics.
His studies deal with areas such as Max algebra, Orbit, Binary logarithm and Of the form as well as Matrix.
His research integrates issues of Cone, Basis, Essentially unique and Regular polygon in his study of Positive-definite matrix.
His Eigenvalues and eigenvectors research integrates issues from Intersection, Point, Pure mathematics and Boolean algebra.
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