What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Artificial intelligence
- Statistics
His primary areas of study are Electroencephalography, Magnetoencephalography, Neuroscience, Inverse problem and Nuclear magnetic resonance.
His Electroencephalography study combines topics in areas such as Magnetic resonance imaging, Electrode, Scalp, Brain mapping and Anisotropy.
His work carried out in the field of Magnetoencephalography brings together such families of science as Skull, Communication, Time–frequency analysis, Lorazepam and Artificial intelligence.
The concepts of his Artificial intelligence study are interwoven with issues in White matter and Algorithm.
His work deals with themes such as Boundary element method, Regularization, Dipole and Sensitivity, which intersect with Inverse problem.
Jens Haueisen has researched Nuclear magnetic resonance in several fields, including Quality, Magnetic domain, Electromagnetic induction, Superconducting magnet and Nanoparticle.
His most cited work include:
- Low intensity transcranial electric stimulation: Safety, ethical, legal regulatory and application guidelines (336 citations)
- Involuntary Motor Activity in Pianists Evoked by Music Perception (256 citations)
- Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head (253 citations)
What are the main themes of his work throughout his whole career to date?
Jens Haueisen mainly investigates Electroencephalography, Magnetoencephalography, Artificial intelligence, Nuclear magnetic resonance and Neuroscience.
His Electroencephalography research integrates issues from Signal and Biomedical engineering.
His research in Biomedical engineering intersects with topics in Stimulation and Electrode.
Jens Haueisen interconnects Algorithm and Inverse problem in the investigation of issues within Magnetoencephalography.
He combines subjects such as Computer vision and Pattern recognition with his study of Artificial intelligence.
His Nuclear magnetic resonance research incorporates themes from Dipole, Magnetic field, Magnetocardiography and Magnetic nanoparticles.
He most often published in these fields:
- Electroencephalography (20.74%)
- Magnetoencephalography (17.04%)
- Artificial intelligence (15.74%)
What were the highlights of his more recent work (between 2016-2021)?
- Electroencephalography (20.74%)
- Magnetoencephalography (17.04%)
- Artificial intelligence (15.74%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Electroencephalography, Magnetoencephalography, Artificial intelligence, Biomedical engineering and Electrode.
His Electroencephalography research incorporates elements of Somatosensory system, Stimulation, Speech recognition and Tensor.
The various areas that he examines in his Stimulation study include Visual cortex and Nuclear magnetic resonance.
His research integrates issues of Point of interest, Translation and Rotation in his study of Magnetoencephalography.
The Artificial intelligence study combines topics in areas such as Brain–computer interface and Pattern recognition.
His Biomedical engineering research includes elements of Reliability, Transcranial direct-current stimulation and Reproducibility.
Between 2016 and 2021, his most popular works were:
- Low intensity transcranial electric stimulation: Safety, ethical, legal regulatory and application guidelines (336 citations)
- Contact Pressure and Flexibility of Multipin Dry EEG Electrodes (19 citations)
- Automatic Removal of Physiological Artifacts in EEG: The Optimized Fingerprint Method for Sports Science Applications. (17 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Artificial intelligence
- Statistics
His main research concerns Electroencephalography, Biomedical engineering, Magnetoencephalography, Electrode and Stimulation.
His Electroencephalography research includes themes of Speech recognition, Support vector machine, Artificial intelligence, Pattern recognition and Sensitivity.
Jens Haueisen has included themes like Dielectric spectroscopy, Formability, Conductivity and Reproducibility in his Biomedical engineering study.
His Magnetoencephalography research is multidisciplinary, incorporating perspectives in Somatosensory system, Brain–computer interface and Human–computer interaction.
His Somatosensory system research also works with subjects such as
- Scalp and related Transcranial direct-current stimulation,
- Head that connect with fields like Nuclear magnetic resonance.
His biological study spans a wide range of topics, including Substrate, Signal and Thin film, Sputtering.
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