D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Psychology D-index 38 Citations 6,536 108 World Ranking 6215 National Ranking 10
Neuroscience D-index 39 Citations 7,138 130 World Ranking 4955 National Ranking 17

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Cognition

His scientific interests lie mostly in Cognition, Neuroscience, Perception, Cognitive psychology and Artificial intelligence. His study in Cognition is interdisciplinary in nature, drawing from both Developmental psychology and Auditory perception. In his work, Communication is strongly intertwined with Selective auditory attention, which is a subfield of Auditory perception.

His Perception research is multidisciplinary, incorporating elements of Valence, Arousal, Active listening and Biofeedback. His biological study deals with issues like Functional magnetic resonance imaging, which deal with fields such as Perceptual learning, Sensory input, Working memory and Visual short-term memory. As a part of the same scientific family, Rhodri Cusack mostly works in the field of Artificial intelligence, focusing on Computer vision and, on occasion, Scanner and Statistical power.

His most cited work include:

  • Listening to Your Heart How Interoception Shapes Emotion Experience and Intuitive Decision Making (302 citations)
  • Effects of attention and unilateral neglect on auditory stream segregation. (280 citations)
  • The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing (244 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Cognitive psychology, Artificial intelligence, Cognition, Perception and Neuroscience. His research in Cognitive psychology intersects with topics in Auditory cortex, Stimulus, Visual short-term memory, Visual perception and Neuroimaging. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Functional magnetic resonance imaging, Computer vision and Pattern recognition.

His work deals with themes such as Developmental psychology, Sensory system and Information processing, which intersect with Cognition. His Perception research includes themes of Occipital lobe, Speech recognition and Communication. His Communication research focuses on Visual cortex and how it connects with Voxel.

He most often published in these fields:

  • Cognitive psychology (35.14%)
  • Artificial intelligence (29.73%)
  • Cognition (22.97%)

What were the highlights of his more recent work (between 2015-2021)?

  • Cognitive psychology (35.14%)
  • Artificial intelligence (29.73%)
  • Functional magnetic resonance imaging (18.92%)

In recent papers he was focusing on the following fields of study:

Rhodri Cusack spends much of his time researching Cognitive psychology, Artificial intelligence, Functional magnetic resonance imaging, Cognition and Pattern recognition. The Cognitive psychology study combines topics in areas such as Perception, Auditory cortex, Stimulus, Consciousness and Neuroimaging. Rhodri Cusack combines subjects such as Superior colliculus, Developmental Science and Computer vision with his study of Artificial intelligence.

His biological study spans a wide range of topics, including Visual cortex, Communication and Motor learning. Rhodri Cusack has included themes like Developmental psychology and Sensory system in his Cognition study. His Pattern recognition study combines topics in areas such as Object, Spatial frequency and Amygdala.

Between 2015 and 2021, his most popular works were:

  • The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample. (239 citations)
  • Disentangling Representations of Object and Grasp Properties in the Human Brain (59 citations)
  • Conjunctive Coding of Complex Object Features (45 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Neuroscience
  • Cognition

His primary scientific interests are in Functional magnetic resonance imaging, Cognition, Artificial intelligence, Sensory system and Cognitive psychology. The concepts of his Functional magnetic resonance imaging study are interwoven with issues in Physical medicine and rehabilitation, Neonatal intensive care unit and Motor learning. His Cognition study is concerned with Neuroscience in general.

The study incorporates disciplines such as Coding, Visual cortex, Communication and Computer vision in addition to Artificial intelligence. His work carried out in the field of Sensory system brings together such families of science as Gyrification and Brain development. In his research on the topic of Cognitive psychology, Preference, Eye tracking and Speech perception is strongly related with Developmental psychology.

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.

Best Publications

Listening to Your Heart How Interoception Shapes Emotion Experience and Intuitive Decision Making

Barnaby D. Dunn;Hannah C. Galton;Ruth Morgan;Davy Evans.
Psychological Science (2010)

546 Citations

Effects of attention and unilateral neglect on auditory stream segregation.

Robert P. Carlyon;Rhodri Cusack;Jessica M. Foxton;Ian H. Robertson.
Journal of Experimental Psychology: Human Perception and Performance (2001)

423 Citations

The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing

Meredith A Shafto;Lorraine K Tyler;Marie Dixon;Jason R Taylor;Jason R Taylor.
BMC Neurology (2014)

387 Citations

The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample.

Jason R. Taylor;Nitin Williams;Rhodri Cusack;Tibor Auer.
NeuroImage (2017)

386 Citations

Effects of Location, Frequency Region, and Time Course of Selective Attention on Auditory Scene Analysis

Rhodri Cusack;John Deeks;Genevieve Aikman;Robert P Carlyon.
Journal of Experimental Psychology: Human Perception and Performance (2004)

324 Citations

Top-Down Activation of Shape-Specific Population Codes in Visual Cortex during Mental Imagery

Mark Stokes;Russell Thompson;Rhodri Cusack;John Duncan.
The Journal of Neuroscience (2009)

323 Citations

New robust 3-D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images.

Rhodri Cusack;N. Papadakis.
NeuroImage (2002)

322 Citations

Improved noise-immune phase-unwrapping algorithm.

R. Cusack;J. M. Huntley;H. T. Goldrein.
Applied Optics (1995)

293 Citations

Using the talairach atlas with the MNI template

Matthew Brett;Kalina Christoff;Rhodri Cusack;Jack Lancaster.
NeuroImage (2001)

286 Citations

Attentional Functions of Parietal and Frontal Cortex

Polly V. Peers;Casimir J.H. Ludwig;Chris Rorden;Rhodri Cusack.
Cerebral Cortex (2005)

263 Citations

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