What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical analysis
- Random variable
Amir Dembo mainly investigates Combinatorics, Large deviations theory, Random variable, Discrete mathematics and Markov chain.
The various areas that Amir Dembo examines in his Combinatorics study include Limit distribution, Bounded function, Random walk and Probability measure.
A large part of his Large deviations theory studies is devoted to Rate function.
His Rate function research includes elements of Super brownian motion and Sample path.
Many of his research projects under Discrete mathematics are closely connected to Shannon–Fano coding with Shannon–Fano coding, tying the diverse disciplines of science together.
His Markov chain research includes themes of Mathematical analysis and Limit.
His most cited work include:
- Large Deviations Techniques and Applications (3925 citations)
- Information theoretic inequalities (640 citations)
- Large Deviation Techniques and Applications. (366 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Combinatorics, Random walk, Discrete mathematics, Large deviations theory and Mathematical analysis.
Amir Dembo has included themes like Random variable and Brownian motion in his Combinatorics study.
His Random walk study integrates concerns from other disciplines, such as Heat kernel and Torus.
His Large deviations theory research is under the purview of Statistical physics.
His study on Langevin dynamics is often connected to Spin glass as part of broader study in Statistical physics.
His work is dedicated to discovering how Rate function, Markov chain are connected with Markov process and other disciplines.
He most often published in these fields:
- Combinatorics (42.74%)
- Random walk (21.37%)
- Discrete mathematics (17.95%)
What were the highlights of his more recent work (between 2016-2021)?
- Combinatorics (42.74%)
- Random walk (21.37%)
- Statistical physics (14.10%)
In recent papers he was focusing on the following fields of study:
Amir Dembo spends much of his time researching Combinatorics, Random walk, Statistical physics, Random graph and Large deviations theory.
His Combinatorics research is multidisciplinary, incorporating perspectives in Limit and Constant.
His Limit study deals with Lipschitz continuity intersecting with Discrete mathematics.
Amir Dembo studies Langevin dynamics which is a part of Statistical physics.
In his work, Asymptotic theory and Markov process is strongly intertwined with Rate function, which is a subfield of Random graph.
His Large deviations theory course of study focuses on Polytope and Tropical geometry and Lyapunov exponent.
Between 2016 and 2021, his most popular works were:
- Extremal cuts of sparse random graphs (47 citations)
- Large deviations theory for Markov jump models of chemical reaction networks (31 citations)
- Large deviations of subgraph counts for sparse Erdős–Rényi graphs (18 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Statistics
- Algebra
Amir Dembo focuses on Combinatorics, Large deviations theory, Conjecture, Rate function and Random graph.
His Combinatorics research is multidisciplinary, incorporating elements of Random walk, Order and Constant.
The subject of his Large deviations theory research is within the realm of Statistical physics.
When carried out as part of a general Statistical physics research project, his work on Langevin dynamics, Thermodynamic limit and Gibbs measure is frequently linked to work in Dynamics, therefore connecting diverse disciplines of study.
His Conjecture research includes themes of Fractional Brownian motion, Brownian motion, Mathematical analysis, Heat equation and Poisson point process.
His Rate function study combines topics in areas such as Asymptotic theory, Markov process, Limit and Lipschitz continuity.
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