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 40 Citations 10,243 103 World Ranking 3388 National Ranking 1531

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Cognition
  • Internal medicine

Josef Parvizi mainly investigates Neuroscience, Cognition, Brain mapping, Electrocorticography and Electrical brain stimulation. His research in Neuroscience intersects with topics in Auditory canal and Communication. His Cognition research includes themes of Gyrus, Psychopathology and Stimulation.

Josef Parvizi interconnects Magnetic resonance imaging and Brain development in the investigation of issues within Brain mapping. His study with Electrocorticography involves better knowledge in Electroencephalography. The study incorporates disciplines such as Fusiform gyrus and Face perception in addition to Electrical brain stimulation.

His most cited work include:

  • Subcortical and cortical brain activity during the feeling of self-generated emotions (1584 citations)
  • Pathological laughter and crying: a link to the cerebellum. (340 citations)
  • Shifts in Gamma Phase–Amplitude Coupling Frequency from Theta to Alpha Over Posterior Cortex During Visual Tasks (292 citations)

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

Josef Parvizi mostly deals with Neuroscience, Electroencephalography, Electrocorticography, Human brain and Cognition. His Neuroscience study focuses mostly on Electrophysiology, Temporal cortex, Neuroimaging, Default mode network and Cortex. The concepts of his Cortex study are interwoven with issues in Anatomy and Posterior parietal cortex.

His research integrates issues of Neurology, Status epilepticus, Epilepsy and Audiology in his study of Electroencephalography. His study looks at the relationship between Electrocorticography and fields such as Electrical brain stimulation, as well as how they intersect with chemical problems. His biological study spans a wide range of topics, including Resting state fMRI and Visual cortex.

He most often published in these fields:

  • Neuroscience (56.15%)
  • Electroencephalography (26.92%)
  • Electrocorticography (22.31%)

What were the highlights of his more recent work (between 2018-2021)?

  • Neuroscience (56.15%)
  • Electroencephalography (26.92%)
  • Human brain (18.46%)

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

Neuroscience, Electroencephalography, Human brain, Neurology and Stimulation are his primary areas of study. Neuroscience is a component of his Electrophysiology, Cognition, Intracranial Electroencephalography, Orbitofrontal cortex and Neural activity studies. His Electroencephalography research incorporates elements of Acoustics, Temporal lobe, Status epilepticus and Artificial intelligence.

Josef Parvizi combines subjects such as Temporal cortex, Insula, Visual processing, Temporal resolution and Posterior parietal cortex with his study of Human brain. His work in the fields of Electrical brain stimulation and Brain stimulation overlaps with other areas such as Placebo. His work focuses on many connections between Reward processing and other disciplines, such as Neuroimaging, that overlap with his field of interest in Electrocorticography.

Between 2018 and 2021, his most popular works were:

  • Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations (22 citations)
  • Deep posteromedial cortical rhythm in dissociation. (19 citations)
  • Temporal Dynamics and Response Modulation across the Human Visual System in a Spatial Attention Task: An ECoG Study. (19 citations)

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

  • Neuroscience
  • Cognition
  • Internal medicine

His primary areas of study are Neuroscience, Human brain, Electroencephalography, Electrophysiology and Stimulation. His research on Neuroscience often connects related topics like Dissociative. His Human brain research is multidisciplinary, relying on both Temporal cortex, Visual processing, Cognition and Temporal resolution.

His Electroencephalography research is multidisciplinary, incorporating perspectives in Gold standard, Concordance, Audiology and Medical diagnosis. Josef Parvizi usually deals with Electrophysiology and limits it to topics linked to Brain mapping and Temporal lobe, Salience, Cognitive neuroscience, Default mode network and Neuroimaging. His Stimulation research includes elements of Valence, Insula, Orbitofrontal cortex, Cingulate cortex and Affective neuroscience.

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

Subcortical and cortical brain activity during the feeling of self-generated emotions

Antonio R. Damasio;Thomas J. Grabowski;Antoine Bechara;Hanna Damasio.
Nature Neuroscience (2000)

2731 Citations

Consciousness and the brainstem.

Josef Parvizi;Antonio Damasio.
Cognition (2001)

504 Citations

Pathological laughter and crying: a link to the cerebellum.

Josef Parvizi;Steven W. Anderson;Coleman O. Martin;Hanna Damasio.
Brain (2001)

477 Citations

Shifts in Gamma Phase–Amplitude Coupling Frequency from Theta to Alpha Over Posterior Cortex During Visual Tasks

Bradley Voytek;Ryan T. Canolty;Ryan T. Canolty;Avgusta Shestyuk;Nathan E. Crone.
Frontiers in Human Neuroscience (2010)

373 Citations

Neuroanatomical correlates of brainstem coma.

Josef Parvizi;Antonio R. Damasio.
Brain (2003)

359 Citations

Neural connections of the posteromedial cortex in the macaque.

Josef Parvizi;Gary W. Van Hoesen;Joseph Buckwalter;Antonio Damasio.
Proceedings of the National Academy of Sciences of the United States of America (2006)

314 Citations

Electrical Stimulation of Human Fusiform Face-Selective Regions Distorts Face Perception

Josef Parvizi;Corentin Jacques;Corentin Jacques;Brett L. Foster;Nathan Withoft.
The Journal of Neuroscience (2012)

295 Citations

Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging.

Aviv Mezer;Jason D. Yeatman;Nikola Stikov;Kendrick N. Kay.
Nature Medicine (2013)

216 Citations

The Will to Persevere Induced by Electrical Stimulation of the Human Cingulate Gyrus

Josef Parvizi;Vinitha Rangarajan;William R. Shirer;Nikita Desai.
Neuron (2013)

186 Citations

A Brain Area for Visual Numerals

Jennifer Shum;Dora Hermes;Brett L. Foster;Mohammad Dastjerdi.
The Journal of Neuroscience (2013)

183 Citations

Best Scientists Citing Josef Parvizi

Robert T. Knight

Robert T. Knight

University of California, Berkeley

Publications: 78

Jaak Panksepp

Jaak Panksepp

Washington State University

Publications: 60

Kalanit Grill-Spector

Kalanit Grill-Spector

Stanford University

Publications: 47

Bruno Rossion

Bruno Rossion

University of Lorraine

Publications: 32

Gerwin Schalk

Gerwin Schalk

Wadsworth Center

Publications: 32

Jonathan Winawer

Jonathan Winawer

New York University

Publications: 31

Stanislas Dehaene

Stanislas Dehaene

Collège de France

Publications: 30

Georg Northoff

Georg Northoff

University of Ottawa

Publications: 27

Michael J. Kahana

Michael J. Kahana

University of Pennsylvania

Publications: 25

Antonio R. Damasio

Antonio R. Damasio

University of Southern California

Publications: 24

Michael R. Sperling

Michael R. Sperling

Thomas Jefferson University

Publications: 24

Kathryn A. Davis

Kathryn A. Davis

University of Pennsylvania

Publications: 24

Ralph Adolphs

Ralph Adolphs

California Institute of Technology

Publications: 23

Olga Pollatos

Olga Pollatos

University of Ulm

Publications: 23

Nikolaus Weiskopf

Nikolaus Weiskopf

Max Planck Society

Publications: 22

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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