What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mathematical analysis
- Statistics
Statistical physics, Percolation, Random walk, Scale-free network and Percolation theory are his primary areas of study.
His Statistical physics study incorporates themes from Rate equation, Non-equilibrium thermodynamics, Cluster, Fractal and Scaling.
His work deals with themes such as Distribution, Lattice, Curse of dimensionality and Combinatorics, which intersect with Cluster.
He has researched Fractal in several fields, including Scale, Anomalous diffusion and Measure.
His Random walk research is multidisciplinary, incorporating elements of Contrast, Scale and Graph.
His biological study spans a wide range of topics, including Interdependent networks, Stability and Resilience.
His most cited work include:
- Resilience of the internet to random breakdowns (1768 citations)
- Breakdown of the internet under intentional attack. (1062 citations)
- Efficient immunization strategies for computer networks and populations. (859 citations)
What are the main themes of his work throughout his whole career to date?
Daniel ben-Avraham mostly deals with Statistical physics, Fractal, Random walk, Annihilation and Coalescence.
His Statistical physics research includes elements of Phase transition, Critical exponent, Scaling, Percolation and Distribution function.
His Percolation research is multidisciplinary, relying on both Continuum percolation theory, Percolation critical exponents and Condensed matter physics.
His Fractal study integrates concerns from other disciplines, such as Chemical physics and Anomalous diffusion.
He works mostly in the field of Random walk, limiting it down to concerns involving Combinatorics and, occasionally, Distribution.
The Annihilation study combines topics in areas such as Master equation, Particle density, Kinetics and Atomic physics.
He most often published in these fields:
- Statistical physics (50.00%)
- Fractal (15.29%)
- Random walk (19.42%)
What were the highlights of his more recent work (between 2008-2020)?
- Statistical physics (50.00%)
- Classical mechanics (7.44%)
- Complex network (5.79%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Statistical physics, Classical mechanics, Complex network, Degree and Limit.
His work carried out in the field of Statistical physics brings together such families of science as Continuum percolation theory, Percolation, Finite set, Square and Fractal.
His Continuum percolation theory course of study focuses on Percolation theory and Surface.
As part of one scientific family, Daniel ben-Avraham deals mainly with the area of Degree, narrowing it down to issues related to the Standard deviation, and often Node.
His Limit research incorporates themes from Power and Distribution function.
His Combinatorics research integrates issues from Master equation, Lattice and Type.
Between 2008 and 2020, his most popular works were:
- Spatially Distributed Social Complex Networks (27 citations)
- Analytical results for the distribution of shortest path lengths in random networks (24 citations)
- Asymptotic behavior of the Kleinberg model. (24 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Statistics
His primary areas of study are Statistical physics, Scaling, Probability density function, Square and Percolation.
Daniel ben-Avraham interconnects Standard deviation, Degree, Range, Limit and Node in the investigation of issues within Statistical physics.
His study in Scaling is interdisciplinary in nature, drawing from both Master equation, Lattice, Curvature and Combinatorics.
His research integrates issues of Adiabatic process, Entropy, Detailed balance and Finite set in his study of Probability density function.
Daniel ben-Avraham has included themes like Phase transition, Continuum percolation theory, Square lattice and Boundary in his Square study.
Daniel ben-Avraham studies Percolation theory, a branch of Percolation.
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