What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mathematical analysis
- Capacitor
Ahmed G. Radwan mainly investigates Control theory, Chaotic, Topology, Memristor and Algorithm.
He combines subjects such as Order, Fractional calculus and Oscillation with his study of Control theory.
His biological study spans a wide range of topics, including Field-programmable gate array, Theoretical computer science and Pseudorandom number generator.
His work deals with themes such as Spice, Network synthesis filters, Prototype filter, Order and Integer, which intersect with Topology.
Ahmed G. Radwan has researched Memristor in several fields, including Mathematical model and Voltage.
His Algorithm research is multidisciplinary, relying on both Experimental data, Sensitivity, Frequency domain, Artificial intelligence and Optimization algorithm.
His most cited work include:
- On the stability of linear systems with fractional-order elements (237 citations)
- Fractional-Order Sinusoidal Oscillators: Design Procedure and Practical Examples (230 citations)
- FIRST-ORDER FILTERS GENERALIZED TO THE FRACTIONAL DOMAIN (174 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Memristor, Topology, Chaotic and Electronic engineering.
The concepts of his Control theory study are interwoven with issues in Synchronization of chaos, Fractional calculus, Order and Stability.
His Fractional calculus research is multidisciplinary, incorporating perspectives in Electrical impedance, Degrees of freedom and Domain.
His work carried out in the field of Memristor brings together such families of science as Voltage, Adder, Ternary operation and Nonlinear system.
His research in Topology intersects with topics in Spice, Capacitor, Oscillation, Relaxation oscillator and Realization.
His Chaotic research includes elements of Field-programmable gate array, Algorithm and Attractor.
He most often published in these fields:
- Control theory (31.65%)
- Memristor (31.65%)
- Topology (33.57%)
What were the highlights of his more recent work (between 2018-2021)?
- Chaotic (32.37%)
- Topology (33.57%)
- Realization (16.07%)
In recent papers he was focusing on the following fields of study:
Ahmed G. Radwan mainly focuses on Chaotic, Topology, Realization, Field-programmable gate array and Memristor.
His Chaotic study combines topics in areas such as Algorithm, Computer hardware and Attractor.
His studies in Topology integrate themes in fields like Current conveyor, Capacitor, Filter and Topology.
His work on Virtex as part of general Field-programmable gate array research is frequently linked to Hardware architecture, thereby connecting diverse disciplines of science.
His Memristor study is related to the wider topic of Electronic engineering.
In the field of Control theory, his study on Control theory overlaps with subjects such as Order.
Between 2018 and 2021, his most popular works were:
- A novel image encryption system merging fractional-order edge detection and generalized chaotic maps (36 citations)
- A novel image encryption system merging fractional-order edge detection and generalized chaotic maps (36 citations)
- Chaotic Flower Pollination and Grey Wolf Algorithms for parameter extraction of bio-impedance models (28 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mathematical analysis
- Statistics
His primary scientific interests are in Chaotic, Field-programmable gate array, Topology, Algorithm and Attractor.
The various areas that Ahmed G. Radwan examines in his Chaotic study include Cryptosystem, Equilibrium point, Consistency and Benchmark.
His Field-programmable gate array research is multidisciplinary, incorporating elements of Biological neuron model, Realization and Pseudorandom number generator.
His Topology research incorporates elements of Electronic circuit, Lyapunov exponent, Topology, Capacitor and Monte Carlo method.
His research integrates issues of RC circuit, Wien bridge oscillator, Adder and Memristor in his study of Electronic circuit.
His Key generation study in the realm of Algorithm interacts with subjects such as Convergence.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
