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- Christof Schütte

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
43
Citations
8,646
211
World Ranking
1151
National Ranking
65

- Quantum mechanics
- Statistics
- Mathematical analysis

Statistical physics, Molecular dynamics, Markov chain, Markov process and Markov model are his primary areas of study. His Statistical physics study integrates concerns from other disciplines, such as Discretization, Sampling, Computation and State space. His Molecular dynamics research incorporates themes from Representation, Metastability, Resolution, Function and Eigenvalues and eigenvectors.

His work investigates the relationship between Eigenvalues and eigenvectors and topics such as Stochastic differential equation that intersect with problems in Transfer operator. His Markov chain study combines topics from a wide range of disciplines, such as Discrete mathematics, Theoretical computer science and Invariant. His studies in Markov process integrate themes in fields like Mathematical analysis and Observable.

- Markov models of molecular kinetics: Generation and validation (707 citations)
- Constructing the equilibrium ensemble of folding pathways from short off-equilibrium simulations (561 citations)
- Hierarchical analysis of conformational dynamics in biomolecules: Transition networks of metastable states (322 citations)

Christof Schütte mostly deals with Statistical physics, Markov chain, Applied mathematics, Molecular dynamics and Dynamical systems theory. The Statistical physics study combines topics in areas such as Markov process, State space, Path, Mathematical optimization and Transfer operator. His study in Markov chain is interdisciplinary in nature, drawing from both Algorithm and Metastability.

Christof Schütte has researched Applied mathematics in several fields, including Stochastic process and Computation. His studies deal with areas such as Curse of dimensionality, Tensor, Dynamic mode decomposition, Nonlinear system and Eigenvalues and eigenvectors as well as Dynamical systems theory. His study in the field of Eigenfunction also crosses realms of Operator.

- Statistical physics (37.79%)
- Markov chain (24.10%)
- Applied mathematics (20.52%)

- Statistical physics (37.79%)
- Applied mathematics (20.52%)
- Population (7.49%)

Christof Schütte spends much of his time researching Statistical physics, Applied mathematics, Population, Markov chain and Limit. The various areas that Christof Schütte examines in his Statistical physics study include State space, Path, Simple, Markov jump process and Transfer operator. In his research on the topic of State space, Ergodic theory and Point is strongly related with Dynamical system.

His research in Applied mathematics intersects with topics in Discretization, Dynamical systems theory and Finite element method. His research integrates issues of Pointwise convergence, Nonlinear system, Variable and System identification in his study of Dynamical systems theory. Christof Schütte combines subjects such as Basis function, Asymptotic analysis, Algorithm, Likelihood function and Trajectory with his study of Markov chain.

- Data-driven approximation of the Koopman generator: Model reduction, system identification, and control (29 citations)
- Data-driven approximation of the Koopman generator: Model reduction, system identification, and control (29 citations)
- Multidimensional Approximation of Nonlinear Dynamical Systems (22 citations)

- Quantum mechanics
- Statistics
- Mathematical analysis

His primary areas of investigation include Applied mathematics, Statistical physics, Stochastic differential equation, Dynamical systems theory and Nonlinear system. His Applied mathematics research includes elements of Discretization, Reduced model and Finite element method. His Statistical physics research includes themes of Work, Reaction–diffusion system, Molecular dynamics, Limit and Markov chain.

The Markov chain study combines topics in areas such as Dynamical system, State space, Ergodic theory, Path and Simple. The various areas that he examines in his Stochastic differential equation study include Rare events, Large deviations theory, Mathematical model, Stochastic process and Transfer operator. His work focuses on many connections between Dynamical systems theory and other disciplines, such as Tensor, that overlap with his field of interest in Curse of dimensionality.

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.

Markov models of molecular kinetics: Generation and validation

Jan-Hendrik Prinz;Hao Wu;Marco Sarich;Bettina Keller.

Journal of Chemical Physics **(2011)**

1043 Citations

Markov models of molecular kinetics: Generation and validation

Jan-Hendrik Prinz;Hao Wu;Marco Sarich;Bettina Keller.

Journal of Chemical Physics **(2011)**

1043 Citations

Constructing the equilibrium ensemble of folding pathways from short off-equilibrium simulations

Frank Noé;Christof Schütte;Eric Vanden-Eijnden;Lothar Reich.

Proceedings of the National Academy of Sciences of the United States of America **(2009)**

774 Citations

Constructing the equilibrium ensemble of folding pathways from short off-equilibrium simulations

Frank Noé;Christof Schütte;Eric Vanden-Eijnden;Lothar Reich.

Proceedings of the National Academy of Sciences of the United States of America **(2009)**

774 Citations

Hierarchical analysis of conformational dynamics in biomolecules: Transition networks of metastable states

Frank Noé;Illia Horenko;Christof Schütte;Jeremy C. Smith.

Journal of Chemical Physics **(2007)**

443 Citations

Hierarchical analysis of conformational dynamics in biomolecules: Transition networks of metastable states

Frank Noé;Illia Horenko;Christof Schütte;Jeremy C. Smith.

Journal of Chemical Physics **(2007)**

443 Citations

Identification of almost invariant aggregates in reversible nearly uncoupled Markov chains

Peter Deuflhard;Wilhelm Huisinga;Alexander Fischer;Christof Schütte.

Linear Algebra and its Applications **(2000)**

433 Citations

Identification of almost invariant aggregates in reversible nearly uncoupled Markov chains

Peter Deuflhard;Wilhelm Huisinga;Alexander Fischer;Christof Schütte.

Linear Algebra and its Applications **(2000)**

433 Citations

Transition Path Theory for Markov Jump Processes

Philipp Metzner;Christof Schütte;Eric Vanden-Eijnden.

Multiscale Modeling & Simulation **(2009)**

420 Citations

Transition Path Theory for Markov Jump Processes

Philipp Metzner;Christof Schütte;Eric Vanden-Eijnden.

Multiscale Modeling & Simulation **(2009)**

420 Citations

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