D-Index & Metrics Best Publications

D-Index & Metrics

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
Neuroscience D-index 56 Citations 11,710 123 World Ranking 1770 National Ranking 48

Overview

What is she best known for?

The fields of study she is best known for:

  • Neuroscience
  • Artificial intelligence
  • Functional magnetic resonance imaging

Elia Formisano mostly deals with Functional magnetic resonance imaging, Neuroscience, Auditory cortex, Artificial intelligence and Brain mapping. Her Functional magnetic resonance imaging study integrates concerns from other disciplines, such as Auditory Physiology, Communication, Independent component analysis, Brain activity and meditation and Auditory perception. Her study in the field of Sensory system, Posterior parietal cortex, Transcranial magnetic stimulation and Cognition is also linked to topics like Cingulate cortex.

Elia Formisano has included themes like Speech recognition, Human brain and Neurocomputational speech processing in her Auditory cortex study. Her research in Artificial intelligence intersects with topics in Identification, Machine learning and Pattern recognition. Elia Formisano focuses mostly in the field of Brain mapping, narrowing it down to topics relating to Temporal cortex and, in certain cases, Fusiform face area, Inferotemporal cortex and Face perception.

Her most cited work include:

  • Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis. (902 citations)
  • Mapping directed influence over the brain using Granger causality and fMRI. (832 citations)
  • Activation of Heschl’s Gyrus during Auditory Hallucinations (630 citations)

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

Her primary scientific interests are in Auditory cortex, Functional magnetic resonance imaging, Neuroscience, Speech recognition and Artificial intelligence. Her research integrates issues of Communication, Natural sounds and Perception, Auditory perception in her study of Auditory cortex. In her study, Speech perception is strongly linked to Cognitive psychology, which falls under the umbrella field of Perception.

Her studies in Functional magnetic resonance imaging integrate themes in fields like Temporal cortex, Mental image, Brain activity and meditation, Brain mapping and Auditory area. Her work carried out in the field of Speech recognition brings together such families of science as Gyrus, Electroencephalography, Stimulus, Categorization and Neural coding. Elia Formisano has researched Artificial intelligence in several fields, including Machine learning, Computer vision and Pattern recognition.

She most often published in these fields:

  • Auditory cortex (32.98%)
  • Functional magnetic resonance imaging (31.41%)
  • Neuroscience (28.80%)

What were the highlights of her more recent work (between 2016-2021)?

  • Auditory cortex (32.98%)
  • Speech recognition (25.65%)
  • Perception (20.42%)

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

Her scientific interests lie mostly in Auditory cortex, Speech recognition, Perception, Neuroscience and Functional magnetic resonance imaging. Her Auditory cortex research is multidisciplinary, relying on both Planum temporale, Natural sounds, Gyrus and Auditory perception. The various areas that Elia Formisano examines in her Speech recognition study include Neural activity, Sensory cue, Psychoacoustics and Encoding.

Her Perception study incorporates themes from Cognitive psychology, Auditory system, Communication, Representation and Cortical oscillations. Elia Formisano usually deals with Functional magnetic resonance imaging and limits it to topics linked to Auditory area and Tinnitus. Elia Formisano combines subjects such as Blood-oxygen-level dependent and Cognition with her study of Sensory system.

Between 2016 and 2021, her most popular works were:

  • Assessing Top-Down and Bottom-Up Contributions to Auditory Stream Segregation and Integration With Polyphonic Music (98 citations)
  • Neural Entrainment to Speech Modulates Speech Intelligibility. (91 citations)
  • Laminar fMRI: Applications for cognitive neuroscience (77 citations)

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

  • Neuroscience
  • Artificial intelligence
  • Statistics

Her primary areas of investigation include Auditory cortex, Speech recognition, Human brain, Functional magnetic resonance imaging and Tonotopy. The study incorporates disciplines such as Cognitive psychology, Perception, Auditory perception, Cerebral cortex and Natural sounds in addition to Auditory cortex. Her Human brain research is classified as research in Neuroscience.

Her work on Visual cortex and Neuroimaging as part of general Neuroscience research is frequently linked to Scale, bridging the gap between disciplines. In her study, Elia Formisano carries out multidisciplinary Functional magnetic resonance imaging and Auditory nuclei research. Elia Formisano has included themes like Voxel and Gyrus in her Tonotopy study.

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

Mapping directed influence over the brain using Granger causality and fMRI.

Alard Roebroeck;Elia Formisano;Rainer Goebel.
NeuroImage (2005)

1045 Citations

Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis.

Rainer Goebel;Fabrizio Esposito;Elia Formisano.
Human Brain Mapping (2006)

902 Citations

Activation of Heschl’s Gyrus during Auditory Hallucinations

Thomas Dierks;David Edmund Johannes Linden;David Edmund Johannes Linden;Martin Jandl;Elia Formisano.
Neuron (1999)

864 Citations

Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping.

Rainer Goebel;Alard Roebroeck;Dae-Shik Kim;Elia Formisano.
Magnetic Resonance Imaging (2003)

728 Citations

Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest.

Vincent G. van de Ven;Elia Formisano;David Prvulovic;Christian H. Roeder.
Human Brain Mapping (2004)

593 Citations

Integration of letters and speech sounds in the human brain.

Nienke van Atteveldt;Elia Formisano;Rainer Goebel;Rainer Goebel;Leo Blomert.
Neuron (2004)

552 Citations

The Functional Neuroanatomy of Target Detection: An fMRI Study of Visual and Auditory Oddball Tasks

David E.J. Linden;David Prvulovic;Elia Formisano;Martin Völlinger.
Cerebral Cortex (1999)

546 Citations

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.

Federico De Martino;Giancarlo Valente;Noël Staeren;John Ashburner.
NeuroImage (2008)

545 Citations

"Who" Is Saying "What"? Brain-Based Decoding of Human Voice and Speech

Elia Formisano;Federico De Martino;Milene Bonte;Rainer Goebel.
Science (2008)

539 Citations

Individual faces elicit distinct response patterns in human anterior temporal cortex

Nikolaus Kriegeskorte;Elia Formisano;Bettina Sorger;Rainer Goebel.
Proceedings of the National Academy of Sciences of the United States of America (2007)

514 Citations

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