What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mathematical analysis
- Statistics
Igor Mezic mainly investigates Nonlinear system, Mathematical analysis, Classical mechanics, Dynamical systems theory and Ergodic theory.
His Nonlinear system study combines topics in areas such as Operator, Computation, Stability and Complex dynamics.
His Mathematical analysis study combines topics from a wide range of disciplines, such as Eigenfunction and Dynamic mode decomposition.
The various areas that Igor Mezic examines in his Classical mechanics study include Flow, Chaotic, Vortex, Fluid mechanics and Mixing.
The concepts of his Dynamical systems theory study are interwoven with issues in State variable, Statistical physics and Model predictive control.
His studies in Reynolds number integrate themes in fields like Micromixer, Mixing, Micromixing and Hagen–Poiseuille equation.
His most cited work include:
- Chaotic Mixer for Microchannels (2578 citations)
- Spectral analysis of nonlinear flows (1128 citations)
- Spectral Properties of Dynamical Systems, Model Reduction and Decompositions (655 citations)
What are the main themes of his work throughout his whole career to date?
Igor Mezic mainly focuses on Mathematical analysis, Dynamical systems theory, Mechanics, Nonlinear system and Control theory.
A large part of his Mathematical analysis studies is devoted to Ergodic theory.
His studies deal with areas such as Statistical physics, State space, Eigenfunction and Attractor as well as Dynamical systems theory.
His Mechanics research is multidisciplinary, incorporating elements of Micromixer, Mixing and Classical mechanics.
His Nonlinear system study integrates concerns from other disciplines, such as Operator and Applied mathematics.
His work is dedicated to discovering how Applied mathematics, Dynamic mode decomposition are connected with Eigenvalues and eigenvectors and other disciplines.
He most often published in these fields:
- Mathematical analysis (15.93%)
- Dynamical systems theory (16.42%)
- Mechanics (15.20%)
What were the highlights of his more recent work (between 2015-2021)?
- Applied mathematics (10.29%)
- Eigenfunction (9.56%)
- Operator (9.80%)
In recent papers he was focusing on the following fields of study:
Applied mathematics, Eigenfunction, Operator, Dynamical systems theory and Eigenvalues and eigenvectors are his primary areas of study.
His research in Applied mathematics intersects with topics in Dynamical system, Nonlinear system, Invariant and Dynamic mode decomposition.
His Nonlinear system study is associated with Control theory.
His Eigenfunction study which covers Spectrum that intersects with Operator and Random dynamical system.
His biological study spans a wide range of topics, including Ergodic theory, Operator theory, Mathematical analysis, Attractor and State space.
His study in Mathematical analysis is interdisciplinary in nature, drawing from both Flow, Vector field and Topological conjugacy.
Between 2015 and 2021, his most popular works were:
- Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control (219 citations)
- Ergodic Theory, Dynamic Mode Decomposition, and Computation of Spectral Properties of the Koopman Operator (163 citations)
- Global Stability Analysis Using the Eigenfunctions of the Koopman Operator (125 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Statistics
His main research concerns Eigenfunction, Applied mathematics, Spectrum, Dynamic mode decomposition and Operator.
He has included themes like Fixed point, Attractor and Linear subspace in his Eigenfunction study.
The various areas that he examines in his Applied mathematics study include Phase, Limit cycle, Nonlinear system, Invariant and Trajectory.
His work deals with themes such as Subspace topology, Mathematical analysis, Data-driven, Matrix decomposition and Vector field, which intersect with Dynamic mode decomposition.
His Operator research incorporates elements of Discrete mathematics, State space and Ergodic theory.
The study incorporates disciplines such as Dynamical systems theory and Continuous spectrum in addition to State space.
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