H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Neuroscience H-index 134 Citations 61,628 534 World Ranking 69 National Ranking 44
Medicine H-index 135 Citations 58,483 553 World Ranking 818 National Ranking 497

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Neuroscience
  • Cognition

Godfrey D. Pearlson focuses on Neuroscience, Schizophrenia, Psychosis, Bipolar disorder and Brain mapping. His Neuroscience study frequently links to related topics such as Magnetic resonance imaging. The Schizophrenia study combines topics in areas such as Audiology, Voxel-based morphometry and Clinical psychology.

As part of the same scientific family, Godfrey D. Pearlson usually focuses on Psychosis, concentrating on Grey matter and intersecting with Superior temporal gyrus. His work focuses on many connections between Functional magnetic resonance imaging and other disciplines, such as Independent component analysis, that overlap with his field of interest in Dynamic functional connectivity. His research integrates issues of Schizophrenia, Artificial intelligence and Pattern recognition in his study of Resting state fMRI.

His most cited work include:

  • A method for making group inferences from functional MRI data using independent component analysis (2101 citations)
  • Prodromal Assessment With the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms: Predictive Validity, Interrater Reliability, and Training to Reliability (1147 citations)
  • Aberrant "default mode" functional connectivity in schizophrenia. (884 citations)

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

Godfrey D. Pearlson spends much of his time researching Neuroscience, Schizophrenia, Psychosis, Functional magnetic resonance imaging and Bipolar disorder. His study connects Schizophrenia and Neuroscience. Godfrey D. Pearlson interconnects Internal medicine, Cognition and Clinical psychology in the investigation of issues within Schizophrenia.

His Psychosis research integrates issues from Magnetic resonance imaging, Bipolar I disorder, Audiology and Electroencephalography. His Functional magnetic resonance imaging research is multidisciplinary, relying on both Independent component analysis, Artificial intelligence, Functional imaging and Neuroimaging. His Bipolar disorder study frequently draws connections between related disciplines such as Schizoaffective disorder.

He most often published in these fields:

  • Neuroscience (50.15%)
  • Schizophrenia (37.31%)
  • Psychosis (31.49%)

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

  • Psychosis (31.49%)
  • Schizophrenia (37.31%)
  • Neuroscience (50.15%)

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

Psychosis, Schizophrenia, Neuroscience, Cognition and Bipolar disorder are his primary areas of study. His studies in Psychosis integrate themes in fields like Phenotype, Clinical psychology, Audiology and Electroencephalography. His Schizophrenia research is multidisciplinary, incorporating perspectives in Dynamic functional connectivity, Neuroimaging, Artificial intelligence and Pattern recognition.

His is involved in several facets of Neuroscience study, as is seen by his studies on Functional magnetic resonance imaging, Functional networks, Default mode network, Cortex and Brain activity and meditation. His work is dedicated to discovering how Cognition, Biomarker are connected with Avolition, Apathy and Oncology and other disciplines. The various areas that he examines in his Bipolar disorder study include Fractional anisotropy, Corpus callosum and Mood.

Between 2018 and 2021, his most popular works were:

  • Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects (79 citations)
  • White matter abnormalities across the lifespan of schizophrenia: a harmonized multi-site diffusion MRI study (39 citations)
  • Transdiagnostic dimensions of psychosis in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP). (38 citations)

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

  • Internal medicine
  • Cognition
  • Schizophrenia

His primary scientific interests are in Psychosis, Schizophrenia, Neuroscience, Resting state fMRI and Audiology. His research in Psychosis intersects with topics in Cognition, Bipolar disorder, Bipolar I disorder and Electroencephalography. His Schizophrenia research includes themes of Neuropathology and Brain activity and meditation.

His Neuroscience study combines topics from a wide range of disciplines, such as Multivariate analysis and Multivariate statistics. The Resting state fMRI study combines topics in areas such as Algorithm, Functional magnetic resonance imaging, Middle temporal area and Cuneus. In his research on the topic of Audiology, Cingulate cortex, Neocortex and Cortex is strongly related with Frontal lobe.

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.

Top Publications

A method for making group inferences from functional MRI data using independent component analysis

V. D. Calhoun;V. D. Calhoun;T. Adali;G. D. Pearlson;J. J. Pekar;J. J. Pekar.
Human Brain Mapping (2001)

2364 Citations

Prodromal Assessment With the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms: Predictive Validity, Interrater Reliability, and Training to Reliability

Tandy J. Miller;Thomas H. McGlashan;Joanna L. Rosen;Kristen Cadenhead.
Schizophrenia Bulletin (2003)

1791 Citations

Positron emission tomography reveals elevated D2 dopamine receptors in drug-naive schizophrenics

Dean F. Wong;Henry N. Wagner;Larry E. Tune;Robert F. Dannals.
Science (1986)

1160 Citations

Aberrant "default mode" functional connectivity in schizophrenia.

Abigail G. Garrity;Godfrey D. Pearlson;Kristen McKiernan;Dan Lloyd.
American Journal of Psychiatry (2007)

1114 Citations

DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking

Hangyi Jiang;Hangyi Jiang;Peter C.M. van Zijl;Peter C.M. van Zijl;Jinsuh Kim;Jinsuh Kim;Godfrey D. Pearlson;Godfrey D. Pearlson.
Computer Methods and Programs in Biomedicine (2006)

1035 Citations

A Baseline for the Multivariate Comparison of Resting-State Networks

Elena A. Allen;Erik B. Erhardt;Eswar Damaraju;William Gruner;William Gruner.
Frontiers in Systems Neuroscience (2011)

899 Citations

Auditory hallucinations and smaller superior temporal gyral volume in schizophrenia

Patrick Ernest Barta;Godfrey D. Pearlson;Richard E. Powers;Stephanie S. Richards.
American Journal of Psychiatry (1990)

893 Citations

A Method for Functional Network Connectivity Among Spatially Independent Resting-State Components in Schizophrenia

Madiha J. Jafri;Godfrey D. Pearlson;Michael C. Stevens;Vince D. Calhoun.
NeuroImage (2008)

770 Citations

Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms.

V.D. Calhoun;T. Adali;G.D. Pearlson;J.J. Pekar;J.J. Pekar.
Human Brain Mapping (2001)

716 Citations

Nortriptyline treatment of post-stroke depression: a double-blind study

John R. Lipsey;Godfrey D. Pearlson;Robert G. Robinson;Krishna Rao.
The Lancet (1984)

711 Citations

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

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