What is she best known for?
The fields of study she is best known for:
- Cognition
- Neuroscience
- Audiology
Audiology, Perception, Speech perception, Cognition and Stimulus are her primary areas of study.
Her research in Audiology intersects with topics in Formant, Sensory system and Frequency following response.
Her studies in Perception integrate themes in fields like Neurophysiology, Cognitive psychology, Hearing loss, Learning disability and Auditory display.
Her Speech perception research includes elements of Noise, Background noise, Event-related potential and Auditory perception.
Her Cognition research integrates issues from Neuroplasticity, Dyslexia and Perceptual learning.
Nina Kraus combines subjects such as Mismatch negativity and Speech recognition with her study of Stimulus.
Her most cited work include:
- Musical experience shapes human brainstem encoding of linguistic pitch patterns (687 citations)
- Music training for the development of auditory skills (652 citations)
- Auditory brain stem response to complex sounds: a tutorial. (515 citations)
What are the main themes of her work throughout her whole career to date?
Her primary scientific interests are in Audiology, Speech perception, Perception, Cognitive psychology and Stimulus.
Her Audiology study combines topics from a wide range of disciplines, such as Mismatch negativity and Brainstem.
Her work on Neurocomputational speech processing is typically connected to QUIET as part of general Speech perception study, connecting several disciplines of science.
Her research in Perception intersects with topics in Background noise, Active listening, Communication and Speech recognition, Speech processing.
Her study explores the link between Cognitive psychology and topics such as Cognition that cross with problems in Sensory system and Neuroplasticity.
Her research on Stimulus focuses in particular on Frequency following response.
She most often published in these fields:
- Audiology (48.74%)
- Speech perception (23.11%)
- Perception (21.51%)
What were the highlights of her more recent work (between 2014-2021)?
- Audiology (48.74%)
- Cognitive psychology (17.85%)
- Frequency following response (7.55%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Audiology, Cognitive psychology, Frequency following response, Cognition and Active listening.
Her study on Audiology is mostly dedicated to connecting different topics, such as Stimulus.
Her Stimulus study incorporates themes from Communication and Brainstem.
Her Cognitive psychology research incorporates elements of Beat, Speech perception, Rhythm and Reading.
Her research integrates issues of Developmental psychology and Sensation in her study of Cognition.
Her work carried out in the field of Active listening brings together such families of science as Perception, Auditory scene analysis, Speech recognition, Noise and Melody.
Between 2014 and 2021, her most popular works were:
- Stability and Plasticity of Auditory Brainstem Function Across the Lifespan (118 citations)
- Unraveling the Biology of Auditory Learning: A Cognitive–Sensorimotor–Reward Framework (88 citations)
- Music training alters the course of adolescent auditory development (85 citations)
In her most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Internal medicine
Her scientific interests lie mostly in Cognitive psychology, Audiology, Cognition, Speech perception and Audio signal processing.
Her study in Cognitive psychology is interdisciplinary in nature, drawing from both Active listening, Inhibitory control, Musical, Reading and Beat.
Nina Kraus has included themes like Stimulus, Frequency following response and Brainstem in her Audiology study.
Her work investigates the relationship between Stimulus and topics such as Auditory brainstem response that intersect with problems in Amusia and Neural correlates of consciousness.
Her biological study spans a wide range of topics, including Developmental psychology, Auditory system, Sensory system and Sensation.
Her study with Speech perception involves better knowledge in Perception.
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.
