What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Control theory
Mattia Frasca mainly investigates Chaotic, Control theory, Topology, Electronic circuit and Robot.
His Chaotic study incorporates themes from Nonlinear circuits, Nonlinear system, Statistical physics, Synchronization of chaos and Electronic engineering.
His research integrates issues of Coherence, Topology, Synchronization, Amplitude and Complex network in his study of Topology.
His Complex network research is multidisciplinary, incorporating elements of Complex system and System of linear equations.
His Electronic circuit research incorporates themes from Electronic component, Memristor and Bifurcation.
He has included themes like Control engineering and Control system in his Robot study.
His most cited work include:
- Effects of mobility in a population of prisoner's dilemma players. (197 citations)
- Effects of mobility in a population of prisoner's dilemma players. (197 citations)
- A chaotic circuit based on Hewlett-Packard memristor. (185 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Chaotic, Topology, Artificial intelligence and Nonlinear system.
His research links Master stability function with Control theory.
His Chaotic research focuses on Electronic circuit and how it connects with Memristor.
The Topology study which covers Complex network that intersects with Distributed computing.
His research in Nonlinear system intersects with topics in Statistical physics and Robustness.
His Robot research includes themes of Control engineering and Control system.
He most often published in these fields:
- Control theory (28.00%)
- Chaotic (24.00%)
- Topology (23.71%)
What were the highlights of his more recent work (between 2018-2021)?
- Topology (23.71%)
- Statistical physics (12.86%)
- Nonlinear system (19.71%)
In recent papers he was focusing on the following fields of study:
Topology, Statistical physics, Nonlinear system, Control theory and Chaotic are his primary areas of study.
Mattia Frasca interconnects Topology, Network topology, Optimization problem, Trajectory and Complex network in the investigation of issues within Topology.
Mattia Frasca combines subjects such as Detrended fluctuation analysis, Multifractal system, Gravitational singularity, Amplitude and Synthetic data with his study of Statistical physics.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Electronic circuit, Memristor and Hysteresis.
Mattia Frasca has researched Control theory in several fields, including Vibration and Focus.
His work deals with themes such as Robotics, Control engineering, Transistor, Electronic engineering and Realization, which intersect with Chaotic.
Between 2018 and 2021, his most popular works were:
- Control of imperfect dynamical systems (40 citations)
- Control of imperfect dynamical systems (40 citations)
- Overview of the JET preparation for deuterium–tritium operation with the ITER like-wall (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Algebra
Mattia Frasca mainly focuses on Dynamical systems theory, Memristor, Statistical physics, Tokamak and Jet.
His Dynamical systems theory research incorporates elements of Structure, Master stability function, Pairwise comparison, Complex system and Focus.
His Structure study integrates concerns from other disciplines, such as Vibration and Control theory.
His studies deal with areas such as Cross diffusion, Chaotic, Logistic map and NIST as well as Memristor.
His work often combines Chaotic and Component studies.
His biological study spans a wide range of topics, including Wavelet and Scaling.
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