What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mathematical analysis
- Algebra
David Ruelle spends much of his time researching Statistical physics, Pure mathematics, Statistical mechanics, Mathematical analysis and Complex system.
His work deals with themes such as Entropy, Dynamical systems theory, Theoretical physics and Turbulence, which intersect with Statistical physics.
His Dynamical systems theory research includes elements of Dynamical system, Non-equilibrium thermodynamics, Fluctuation theorem, Attractor and Classical mechanics.
His study in the field of Nonequilibrium statistical mechanics is also linked to topics like Long term behavior.
His Mathematical analysis study incorporates themes from Biological applications of bifurcation theory, Transcritical bifurcation, Homoclinic bifurcation, Pitchfork bifurcation and Bifurcation diagram.
The various areas that David Ruelle examines in his Complex system study include Compact space, Mechanism, Quantum computer, Lattice and Nonlinear system.
His most cited work include:
- Ergodic theory of chaos and strange attractors (3963 citations)
- Recurrence Plots of Dynamical Systems (2186 citations)
- Statistical Mechanics: Rigorous Results (1845 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Statistical physics, Pure mathematics, Statistical mechanics, Mathematical analysis and Dynamical systems theory.
His Statistical physics research includes themes of Turbulence, Complex system and Thermostat.
His Complex system research is multidisciplinary, incorporating elements of Lattice and Nonlinear system.
His work in Differentiable function, Invariant measure, Ergodic theory and Riemann zeta function is related to Pure mathematics.
His Statistical mechanics research integrates issues from Non-equilibrium thermodynamics, Theoretical physics and Mathematical physics.
His biological study deals with issues like Attractor, which deal with fields such as Classical mechanics.
He most often published in these fields:
- Statistical physics (31.06%)
- Pure mathematics (23.21%)
- Statistical mechanics (20.48%)
What were the highlights of his more recent work (between 2008-2020)?
- Statistical mechanics (20.48%)
- Statistical physics (31.06%)
- Combinatorics (9.90%)
In recent papers he was focusing on the following fields of study:
David Ruelle mainly investigates Statistical mechanics, Statistical physics, Combinatorics, Turbulence and Mathematical physics.
His biological study spans a wide range of topics, including Analytic function, Non-equilibrium thermodynamics, Fluctuation theorem, Theoretical physics and Classical mechanics.
Specifically, his work in Statistical physics is concerned with the study of Nonequilibrium statistical mechanics.
His Combinatorics research focuses on Expectation value and how it connects with Mathematical analysis.
David Ruelle has researched Turbulence in several fields, including Thermal fluctuations and Degrees of freedom.
The concepts of his Dynamical system study are interwoven with issues in Dynamical systems theory and Attractor.
Between 2008 and 2020, his most popular works were:
- A review of linear response theory for general differentiable dynamical systems (196 citations)
- Characterization of Lee-Yang polynomials (38 citations)
- Structure and f -Dependence of the A.C.I.M. for a Unimodal Map f of Misiurewicz Type (38 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Algebra
His primary areas of investigation include Complex system, Statistical mechanics, Nonequilibrium statistical mechanics, Central limit theorem and Mathematical analysis.
His Complex system study combines topics in areas such as Quantum critical point, Quantum phase transition and Condensed matter physics, Ferromagnetism.
His research in Statistical mechanics intersects with topics in Dynamical systems theory, Dynamical system, Non-equilibrium thermodynamics, Turbulence and Degrees of freedom.
His Turbulence research is multidisciplinary, relying on both Mechanical system and Statistical physics.
He has included themes like Chain, First order perturbation, Fourier transform, Kinetic energy and Thermal conduction in his Nonequilibrium statistical mechanics study.
In his work, Phase transition is strongly intertwined with Spins, which is a subfield of Mathematical analysis.
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