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 54 Citations 14,408 90 World Ranking 1951 National Ranking 937

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Neuroscience
  • Artificial intelligence

His primary scientific interests are in Connectome, Resting state fMRI, Neuroimaging, Neuroscience and Artificial intelligence. R. Cameron Craddock combines subjects such as Functional magnetic resonance imaging and Bioinformatics with his study of Connectome. His Neuroimaging research includes themes of Data mining, Neuropsychology, Medical imaging, Datasets as Topic and Amplitude of low frequency fluctuations.

His studies in Neuroscience integrate themes in fields like Diffusion MRI and Traumatic brain injury. His Artificial intelligence research incorporates themes from Reliability, Brain mapping and Pattern recognition. His work deals with themes such as Motion, Computer vision, Cognitive psychology and Spectral clustering, which intersect with Brain mapping.

His most cited work include:

  • A whole brain fMRI atlas generated via spatially constrained spectral clustering (991 citations)
  • A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics (961 citations)
  • A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics (961 citations)

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

R. Cameron Craddock spends much of his time researching Neuroimaging, Artificial intelligence, Resting state fMRI, Connectome and Neuroscience. His Neuroimaging research includes elements of Stroke, Stroke recovery, Voxel and Cognition. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Reliability, Machine learning, Computer vision and Pattern recognition.

His research investigates the connection between Resting state fMRI and topics such as Functional connectivity that intersect with problems in Brain function. The Connectome study combines topics in areas such as Functional magnetic resonance imaging, Data mining and Regression. In the subject of general Neuroscience, his work in Cortex and Human brain is often linked to Extramural and Identification, thereby combining diverse domains of study.

He most often published in these fields:

  • Neuroimaging (58.58%)
  • Artificial intelligence (62.13%)
  • Resting state fMRI (59.76%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (62.13%)
  • Neuroimaging (58.58%)
  • Pattern recognition (36.69%)

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

Artificial intelligence, Neuroimaging, Pattern recognition, Neuroscience and Reproducibility are his primary areas of study. His Artificial intelligence study combines topics in areas such as Reliability, Machine learning, Neural correlates of consciousness and Computer vision. His Machine learning study also includes

  • Statistic that intertwine with fields like Statistical inference and Big data,
  • Sample which connect with Connectomics.

R. Cameron Craddock performs multidisciplinary study in Neuroimaging and Data quality in his work. His Neuroscience research is mostly focused on the topic Functional connectivity. R. Cameron Craddock has researched Deep learning in several fields, including Resting state fMRI and Identification.

Between 2017 and 2021, his most popular works were:

  • Identification of autism spectrum disorder using deep learning and the ABIDE dataset. (227 citations)
  • Identification of autism spectrum disorder using deep learning and the ABIDE dataset. (227 citations)
  • Quantitative assessment of structural image quality. (116 citations)

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

  • Statistics
  • Neuroscience
  • Artificial intelligence

His primary areas of study are Artificial intelligence, Neuroimaging, Neuroscience, Functional connectivity and Pattern recognition. His Artificial intelligence study combines topics from a wide range of disciplines, such as Lesion and Stroke recovery. His Neuroimaging study combines topics from a wide range of disciplines, such as Stroke and Gold standard.

Many of his research projects under Neuroscience are closely connected to Motor cortex with Motor cortex, tying the diverse disciplines of science together. His Functional connectivity research includes elements of Deep learning, Autism spectrum disorder and Identification. His Pattern recognition research incorporates themes from Brain development, Connectome and Test set.

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

A whole brain fMRI atlas generated via spatially constrained spectral clustering

R. Cameron Craddock;G.Andrew James;Paul E. Holtzheimer;Xiaoping P. Hu.
Human Brain Mapping (2012)

1319 Citations

A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics

Chao-Gan Yan;Brian Cheung;Clare Kelly;Stanley J. Colcombe.
NeuroImage (2013)

1061 Citations

Subcallosal cingulate gyrus deep brain stimulation for treatment-resistant depression.

Andres M. Lozano;Helen S. Mayberg;Helen S. Mayberg;Peter Giacobbe;Clement Hamani.
Biological Psychiatry (2008)

934 Citations

Toward a Neuroimaging Treatment Selection Biomarker for Major Depressive Disorder

Callie L. McGrath;Mary E. Kelley;Paul E. Holtzheimer;Boadie W. Dunlop.
JAMA Psychiatry (2013)

436 Citations

Disease state prediction from resting state functional connectivity

R. Cameron Craddock;R. Cameron Craddock;Paul E. Holtzheimer;Xiaoping P. Hu;Helen S. Mayberg.
Magnetic Resonance in Medicine (2009)

424 Citations

Imaging human connectomes at the macroscale

R Cameron Craddock;Saad Jbabdi;Chao-Gan Yan;Chao-Gan Yan;Chao-Gan Yan;Joshua T Vogelstein.
Nature Methods (2013)

397 Citations

Neuroimaging after mild traumatic brain injury: Review and meta-analysis

Cyrus Eierud;R. Cameron Craddock;Sean Fletcher;Manek Aulakh.
NeuroImage: Clinical (2014)

389 Citations

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock.
Scientific Data (2016)

337 Citations

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

Alexandre Abraham;Michael P. Milham;Adriana Di Martino;R. Cameron Craddock.
NeuroImage (2017)

324 Citations

Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes

Chao Gan Yan;R. Cameron Craddock;R. Cameron Craddock;Xi Nian Zuo;Yu Feng Zang.
NeuroImage (2013)

318 Citations

Best Scientists Citing R. Cameron Craddock

Michael P. Milham

Michael P. Milham

University of California, Davis

Publications: 137

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 123

Theodore D. Satterthwaite

Theodore D. Satterthwaite

University of Pennsylvania

Publications: 93

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 82

Helen S. Mayberg

Helen S. Mayberg

Icahn School of Medicine at Mount Sinai

Publications: 80

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 78

Daniel S. Margulies

Daniel S. Margulies

Centre national de la recherche scientifique, CNRS

Publications: 72

Danielle S. Bassett

Danielle S. Bassett

University of Pennsylvania

Publications: 72

Yong He

Yong He

Beijing Normal University

Publications: 72

Jonathan Smallwood

Jonathan Smallwood

Queen's University

Publications: 70

Ruben C. Gur

Ruben C. Gur

University of Pennsylvania

Publications: 66

Xi-Nian Zuo

Xi-Nian Zuo

Chinese Academy of Sciences

Publications: 65

Jiang Qiu

Jiang Qiu

Southwest University

Publications: 61

Dustin Scheinost

Dustin Scheinost

Yale University

Publications: 59

Raquel E. Gur

Raquel E. Gur

University of Pennsylvania

Publications: 58

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.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.