What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Statistics
His scientific interests lie mostly in Magnetoencephalography, Neuroscience, Electroencephalography, Mismatch negativity and Stimulus.
His Magnetoencephalography study combines topics from a wide range of disciplines, such as Somatosensory system, Perception, Communication, Speech recognition and Brain activity and meditation.
The Electroencephalography study combines topics in areas such as Electrophysiology, Transcranial magnetic stimulation, Cognition, Amplitude and Scaling.
His studies deal with areas such as Electromyography, Electromagnetic coil and Scalp as well as Transcranial magnetic stimulation.
His Mismatch negativity research is multidisciplinary, relying on both Lateralization of brain function, Audiology, Auditory cortex and Event-related potential.
He interconnects Neuroplasticity, Premovement neuronal activity and Signal processing in the investigation of issues within Stimulus.
His most cited work include:
- Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain (3762 citations)
- Interpreting magnetic fields of the brain: minimum norm estimates (1353 citations)
- Language-specific phoneme representations revealed by electric and magnetic brain responses (1009 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Neuroscience, Magnetoencephalography, Electroencephalography, Transcranial magnetic stimulation and Stimulus.
His is involved in several facets of Neuroscience study, as is seen by his studies on Electrophysiology, Human brain, Somatosensory system, Neuroimaging and Cortex.
His study in Magnetoencephalography is interdisciplinary in nature, drawing from both Communication, Lateralization of brain function, Audiology, Auditory cortex and Mismatch negativity.
His work carried out in the field of Mismatch negativity brings together such families of science as Memoria, Cognitive psychology and Oddball paradigm, Event-related potential.
As a part of the same scientific study, he usually deals with the Electroencephalography, concentrating on Artificial intelligence and frequently concerns with Signal.
He combines subjects such as Motor cortex, Brain stimulation, Brain mapping and Electromagnetic coil with his study of Transcranial magnetic stimulation.
He most often published in these fields:
- Neuroscience (46.96%)
- Magnetoencephalography (37.74%)
- Electroencephalography (37.32%)
What were the highlights of his more recent work (between 2013-2021)?
- Transcranial magnetic stimulation (31.45%)
- Neuroscience (46.96%)
- Electroencephalography (37.32%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Transcranial magnetic stimulation, Neuroscience, Electroencephalography, Artificial intelligence and Electromagnetic coil.
His work deals with themes such as Motor cortex and Cortex, which intersect with Transcranial magnetic stimulation.
His study in the field of Human brain, Premovement neuronal activity, Neuroimaging and Neurophysiology is also linked to topics like Locus.
Magnetoencephalography and Brain activity and meditation are the primary areas of interest in his Electroencephalography study.
He has included themes like Sampling, Algorithm and Magnetic resonance imaging in his Magnetoencephalography study.
His study on Artificial intelligence also encompasses disciplines like
- Pattern recognition that connect with fields like Projection and Co registration,
- Computer vision and related Closed loop, Stimulus and Estimation,
- Signal which connect with SQUID, Nuclear magnetic resonance, Eddy current and Spatial analysis,
- Imaging phantom that connect with fields like Transcranial alternating current stimulation.
Between 2013 and 2021, his most popular works were:
- Clinical utility and prospective of TMS–EEG (64 citations)
- Experimental Characterization of the Electric Field Distribution Induced by TMS Devices. (45 citations)
- Experimental Characterization of the Electric Field Distribution Induced by TMS Devices. (45 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Internal medicine
Risto J. Ilmoniemi mainly focuses on Transcranial magnetic stimulation, Electroencephalography, Electromagnetic coil, Neuroscience and Speech recognition.
His biological study spans a wide range of topics, including Motor cortex, Brain stimulation, Neurorehabilitation and Cortex.
His Electroencephalography research includes elements of Independent component analysis, Artificial intelligence, Pattern recognition, Cognitive decline and Posterior parietal cortex.
Neuroscience is often connected to Treatment response in his work.
Risto J. Ilmoniemi has researched Speech recognition in several fields, including Basis, Beamforming, Blind signal separation and Magnetoencephalography.
His Magnetoencephalography study combines topics in areas such as Tinnitus and Auditory cortex.
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