What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Artificial intelligence
- Electron
Alexander E. Hramov mainly investigates Electroencephalography, Synchronization of chaos, Synchronization, Wavelet and Neuroscience.
His work deals with themes such as Pattern recognition, Artificial intelligence and Epilepsy, which intersect with Electroencephalography.
His study in Synchronization of chaos is interdisciplinary in nature, drawing from both Chaotic, Statistical physics and Phase synchronization.
His study looks at the intersection of Wavelet and topics like Speech recognition with Algorithm and Morlet wavelet.
His biological study spans a wide range of topics, including Rhythm and Signal processing.
His work carried out in the field of Control theory brings together such families of science as Continuous wavelet transform and Time series.
His most cited work include:
- An approach to chaotic synchronization (142 citations)
- Generalized synchronization: a modified system approach. (106 citations)
- Sleep spindles and spike–wave discharges in EEG: Their generic features, similarities and distinctions disclosed with Fourier transform and continuous wavelet analysis (102 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Cathode, Electroencephalography, Chaotic, Cathode ray and Statistical physics.
His Cathode research is multidisciplinary, relying on both Beam, Vircator, Atomic physics, Relativistic electron beam and Magnetic field.
His studies deal with areas such as Epilepsy, Artificial intelligence and Pattern recognition as well as Electroencephalography.
His Chaotic study incorporates themes from Synchronization of chaos, Signal and Nonlinear system.
His research investigates the connection with Synchronization of chaos and areas like Topology which intersect with concerns in Phase.
Alexander E. Hramov interconnects Dynamical systems theory, Synchronization, Noise, Boundary and Intermittency in the investigation of issues within Statistical physics.
He most often published in these fields:
- Cathode (23.24%)
- Electroencephalography (22.74%)
- Chaotic (17.22%)
What were the highlights of his more recent work (between 2016-2021)?
- Electroencephalography (22.74%)
- Artificial intelligence (20.23%)
- Pattern recognition (16.89%)
In recent papers he was focusing on the following fields of study:
Alexander E. Hramov mostly deals with Electroencephalography, Artificial intelligence, Pattern recognition, Neuroscience and Visual perception.
His Electroencephalography research incorporates themes from Signal, Wavelet and Perception.
His study looks at the relationship between Artificial intelligence and topics such as Biological neural network, which overlap with Nonlinear system.
His Pattern recognition study combines topics from a wide range of disciplines, such as Detrended fluctuation analysis and Human brain.
His study in the fields of Cognition, Epilepsy and Effects of sleep deprivation on cognitive performance under the domain of Neuroscience overlaps with other disciplines such as Extreme events.
His studies in Synchronization integrate themes in fields like Chaotic and Topology.
Between 2016 and 2021, his most popular works were:
- Absence Seizure Control by a Brain Computer Interface. (47 citations)
- Absence Seizure Control by a Brain Computer Interface. (47 citations)
- Nonlinear analysis of brain activity, associated with motor action and motor imaginary in untrained subjects (40 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Artificial intelligence
- Electron
His primary areas of investigation include Electroencephalography, Artificial intelligence, Pattern recognition, Brain activity and meditation and Visual perception.
His Electroencephalography research integrates issues from Signal, Wavelet and Epilepsy.
His Pattern recognition study combines topics in areas such as Artificial neural network, Eeg patterns, Detrended fluctuation analysis and Magnetoencephalography.
His Brain activity and meditation research includes themes of Biological neural network and Motor imagery.
His Visual perception research integrates issues from Degree, Frequency band and Multilayer perceptron.
His Nonlinear system research is multidisciplinary, relying on both Electron, Cathode ray and Atomic physics.
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