What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Statistics
His primary scientific interests are in Neuroscience, Pathology, Magnetic resonance imaging, Functional magnetic resonance imaging and Resting state fMRI.
His study looks at the intersection of Neuroscience and topics like Systole with Attentional blink.
His work carried out in the field of Pathology brings together such families of science as White matter, Multiple sclerosis and Central nervous system disease.
His study looks at the relationship between Functional magnetic resonance imaging and topics such as Neuroimaging, which overlap with Neuropathology and Tau protein.
His Resting state fMRI study incorporates themes from Independent component analysis, Artificial intelligence, Pattern recognition, Disease and Brain mapping.
His Brain mapping study integrates concerns from other disciplines, such as Nerve net, Perspective, Neurology, Disorders of consciousness and Brain activity and meditation.
His most cited work include:
- Resting-state brain networks: literature review and clinical applications (344 citations)
- Current concepts in Alzheimer's disease: a multidisciplinary review (202 citations)
- White matter involvement in idiopathic Parkinson disease: a diffusion tensor imaging study. (195 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Chaotic, Cognitive psychology, Topology and Pathology.
His Neuroscience study focuses mostly on Functional magnetic resonance imaging, Cognition, Neuroimaging, Resting state fMRI and Arousal.
His Resting state fMRI research incorporates themes from Artificial intelligence and Pattern recognition.
The Chaotic study combines topics in areas such as Inductor and Control theory.
His Topology research includes themes of Resonator and Realization.
His Pathology study frequently draws parallels with other fields, such as White matter.
He most often published in these fields:
- Neuroscience (26.29%)
- Chaotic (17.53%)
- Cognitive psychology (8.76%)
What were the highlights of his more recent work (between 2018-2021)?
- Chaotic (17.53%)
- Statistical physics (10.31%)
- Algorithm (11.34%)
In recent papers he was focusing on the following fields of study:
Ludovico Minati mainly focuses on Chaotic, Statistical physics, Algorithm, Cryptocurrency and Topology.
His work deals with themes such as State variable, Control theory, Nonlinear system, Generator and Oscillation, which intersect with Chaotic.
His Statistical physics research integrates issues from Synthetic data, Detrended fluctuation analysis, Scaling, Multifractal system and Gravitational singularity.
His Algorithm study combines topics from a wide range of disciplines, such as Measure, Distribution, Joint probability distribution, Sequence and Autocorrelation.
His Topology research is multidisciplinary, relying on both Transistor, Resonator and Realization.
As a part of the same scientific study, Ludovico Minati usually deals with the Resting state fMRI, concentrating on Posterior cingulate and frequently concerns with Audiology.
Between 2018 and 2021, his most popular works were:
- Signatures of the Crypto-Currency Market Decoupling from the Forex (32 citations)
- Signatures of crypto-currency market decoupling from the Forex (26 citations)
- Competition of noise and collectivity in global cryptocurrency trading: Route to a self-contained market (13 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Neuroscience
His primary areas of study are Dynamical systems theory, Cryptocurrency, Value, Foreign exchange market and Monetary economics.
His Dynamical systems theory research incorporates elements of Distribution, Surrogate data, Joint probability distribution, Sequence and Autocorrelation.
His Cryptocurrency investigation overlaps with Arbitrage, Financial market, Asset, Hedge and Stock exchange.
His Value research includes a combination of various areas of study, such as Exchange rate, Hurst exponent, Decoupling, Us dollar and Currency.
His Currency study overlaps with Noise and Liberian dollar.
He integrates Foreign exchange market with Competition in his research.
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