H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Neuroscience H-index 167 Citations 112,031 978 World Ranking 18 National Ranking 11
Medicine H-index 170 Citations 117,032 1,113 World Ranking 186 National Ranking 126


What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Law
  • Artificial intelligence

Paul M. Thompson mostly deals with Neuroscience, Brain mapping, Magnetic resonance imaging, Neuroimaging and Alzheimer's disease. The study incorporates disciplines such as White matter, Schizophrenia and Brain size in addition to Neuroscience. His Brain mapping study also includes fields such as

  • Artificial intelligence together with Machine learning,
  • Hippocampus which intersects with area such as Temporal lobe.

His work is dedicated to discovering how Magnetic resonance imaging, Anatomy are connected with Lateralization of brain function and other disciplines. Paul M. Thompson has researched Neuroimaging in several fields, including Genome-wide association study and Disease. His work carried out in the field of Alzheimer's disease brings together such families of science as Dementia and Atrophy.

His most cited work include:

  • Dynamic mapping of human cortical development during childhood through early adulthood (3960 citations)
  • The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. (2619 citations)
  • Rietveld refinement of Debye–Scherrer synchrotron X‐ray data from Al2O3 (2009 citations)

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

Paul M. Thompson mainly investigates Neuroscience, Neuroimaging, Artificial intelligence, White matter and Magnetic resonance imaging. His Neuroscience research integrates issues from Schizophrenia and Disease. His work in Neuroimaging addresses subjects such as Alzheimer's disease, which are connected to disciplines such as Atrophy.

His work carried out in the field of Artificial intelligence brings together such families of science as Tractography, Machine learning, Computer vision and Pattern recognition. His studies deal with areas such as Corpus callosum and Diffusion MRI as well as White matter. His Magnetic resonance imaging study frequently links to adjacent areas such as Internal medicine.

He most often published in these fields:

  • Neuroscience (19.53%)
  • Neuroimaging (15.76%)
  • Artificial intelligence (12.36%)

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

  • Neuroimaging (15.76%)
  • Neuroscience (19.53%)
  • Artificial intelligence (12.36%)

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

The scientist’s investigation covers issues in Neuroimaging, Neuroscience, Artificial intelligence, White matter and Diffusion MRI. His Neuroimaging research includes elements of Cognition, Magnetic resonance imaging, Disease and Clinical psychology. His research ties Schizophrenia and Neuroscience together.

His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition. His White matter study combines topics from a wide range of disciplines, such as Corpus callosum, Audiology and Traumatic brain injury. He studies Psychiatry, namely Bipolar disorder.

Between 2016 and 2021, his most popular works were:

  • The challenge of mapping the human connectome based on diffusion tractography (535 citations)
  • Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis (533 citations)
  • Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. (426 citations)

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

  • Internal medicine
  • Law
  • Artificial intelligence

His scientific interests lie mostly in Neuroimaging, White matter, Neuroscience, Diffusion MRI and Schizophrenia. Paul M. Thompson combines subjects such as Magnetic resonance imaging, Dementia, Disease, Clinical psychology and Artificial intelligence with his study of Neuroimaging. His Dementia research is multidisciplinary, relying on both Alzheimer's disease and Oncology.

Paul M. Thompson interconnects Internal medicine, Corpus callosum, Cognition and Audiology in the investigation of issues within White matter. His studies in Neuroscience integrate themes in fields like Brain morphometry and Genome-wide association study. The various areas that Paul M. Thompson examines in his Schizophrenia study include Major depressive disorder, Bipolar disorder, Psychosis and Autism.

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

Dynamic mapping of human cortical development during childhood through early adulthood

Nitin Gogtay;Jay N. Giedd;Leslie Lusk;Kiralee M. Hayashi.
Proceedings of the National Academy of Sciences of the United States of America (2004)

5866 Citations

Rietveld refinement of Debye–Scherrer synchrotron X‐ray data from Al2O3

P. Thompson;D.E. Cox;J.B. Hastings.
Journal of Applied Crystallography (1987)

2931 Citations

The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.

Clifford R. Jack;Matt A. Bernstein;Nick C. Fox;Paul Thompson.
Journal of Magnetic Resonance Imaging (2008)

2619 Citations

Mapping cortical change across the human life span

Elizabeth R. Sowell;Bradley S. Peterson;Paul M. Thompson;Suzanne E. Welcome.
Nature Neuroscience (2003)

2533 Citations

Unruptured intracranial aneurysms - Risk of rupture and risks of surgical intervention

D. Wiebers;J. Whisnant;G. Forbes;I. Meissner.
The New England Journal of Medicine (1998)

2211 Citations

A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)

J. Mazziotta;A. Toga;A. Evans;P. Fox.
Philosophical Transactions of the Royal Society B (2001)

2096 Citations

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

Arno Klein;Jesper L. R. Andersson;Babak A. Ardekani;Babak A. Ardekani;John Ashburner.
NeuroImage (2009)

2024 Citations

In vivo evidence for post-adolescent brain maturation in frontal and striatal regions.

Elizabeth R. Sowell;Paul M. Thompson;Colin J. Holmes;Terry L. Jernigan.
Nature Neuroscience (1999)

1786 Citations

Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children

Elizabeth R. Sowell;Paul M. Thompson;Christiana M. Leonard;Suzanne E. Welcome.
The Journal of Neuroscience (2004)

1637 Citations

The clinical use of structural MRI in Alzheimer disease

Giovanni B. Frisoni;Nick C. Fox;Clifford R. Jack;Philip Scheltens.
Nature Reviews Neurology (2010)

1519 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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