D-Index & Metrics Best Publications
Neuroscience
Australia
2023

D-Index & Metrics 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.

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 80 Citations 26,254 247 World Ranking 914 National Ranking 16

Research.com Recognitions

Awards & Achievements

2023 - Research.com Neuroscience in Australia Leader Award

2022 - Research.com Neuroscience in Australia Leader Award

2018 - Gottschalk Medal, Australian Academy of Science

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Schizophrenia

His main research concerns Neuroscience, Brain mapping, Functional magnetic resonance imaging, Artificial intelligence and Resting state fMRI. His work focuses on many connections between Neuroscience and other disciplines, such as Voxel-based morphometry, that overlap with his field of interest in Voxel, Grey matter and Psychosis. His studies deal with areas such as Schizophrenia, Functional neuroimaging, Cortex and Human brain as well as Brain mapping.

He has included themes like Graph and Pattern recognition in his Artificial intelligence study. His Graph study incorporates themes from Machine learning, False discovery rate and Word error rate. The concepts of his Connectome study are interwoven with issues in Small-world network, Neuroimaging and Communication.

His most cited work include:

  • Network-based statistic: Identifying differences in brain networks (1292 citations)
  • Network-based statistic: Identifying differences in brain networks (1292 citations)
  • Whole-brain anatomical networks: does the choice of nodes matter? (889 citations)

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

His scientific interests lie mostly in Neuroscience, Neuroimaging, Schizophrenia, Psychiatry and Psychosis. His is doing research in Brain mapping, Functional magnetic resonance imaging, Connectome, Prefrontal cortex and Anterior cingulate cortex, both of which are found in Neuroscience. His studies in Functional magnetic resonance imaging integrate themes in fields like Resting state fMRI, Functional neuroimaging, Artificial intelligence and Pattern recognition.

His Neuroimaging study combines topics from a wide range of disciplines, such as Audiology, Cognition and Functional connectivity. As a member of one scientific family, Alex Fornito mostly works in the field of Schizophrenia, focusing on White matter and, on occasion, Corpus callosum. His work deals with themes such as First episode, Clinical psychology, Striatum and Antipsychotic, which intersect with Psychosis.

He most often published in these fields:

  • Neuroscience (61.84%)
  • Neuroimaging (21.55%)
  • Schizophrenia (20.85%)

What were the highlights of his more recent work (between 2019-2021)?

  • Neuroscience (61.84%)
  • Psychosis (19.79%)
  • Antipsychotic (4.59%)

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

His primary areas of investigation include Neuroscience, Psychosis, Antipsychotic, Cognition and Functional magnetic resonance imaging. His Neuroscience study frequently links to adjacent areas such as Atrophy. In his study, Body mass index, Psychological intervention, Working memory and Ventromedial prefrontal cortex is strongly linked to Schizophrenia, which falls under the umbrella field of Psychosis.

His Functional magnetic resonance imaging research incorporates elements of Dopaminergic, Positron emission tomography, Resting state fMRI and Cortex. Alex Fornito works mostly in the field of Resting state fMRI, limiting it down to topics relating to Human Connectome Project and, in certain cases, Pattern recognition, Artificial intelligence, Artifact and Functional integration, as a part of the same area of interest. His research investigates the connection between Pattern recognition and topics such as Diffusion MRI that intersect with problems in Functional connectivity and Neuroimaging.

Between 2019 and 2021, his most popular works were:

  • Intrinsic connectomes are a predictive biomarker of remission in major depressive disorder. (22 citations)
  • Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem. (21 citations)
  • Psychosocial Intervention With or Without Antipsychotic Medication for First-Episode Psychosis: A Randomized Noninferiority Clinical Trial (14 citations)

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

  • Neuroscience
  • Internal medicine
  • Cognition

Alex Fornito mostly deals with Neuroscience, Functional magnetic resonance imaging, Cognition, Resting state fMRI and Functional connectivity. His study looks at the intersection of Cognition and topics like Posterior parietal cortex with Neuroplasticity and Brain network. In his study, Voxel, Artifact and Brain region is inextricably linked to Human Connectome Project, which falls within the broad field of Resting state fMRI.

As a part of the same scientific family, Alex Fornito mostly works in the field of Voxel, focusing on Pattern recognition and, on occasion, Tractography. In his research on the topic of Hippocampus, Psychosis is strongly related with Cannabis. His study looks at the relationship between Artificial intelligence and topics such as Fractional anisotropy, which overlap with Connectome.

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

Network-based statistic: Identifying differences in brain networks

Andrew Zalesky;Alexander Fornito;Alexander Fornito;Edward Bullmore.
NeuroImage (2010)

1908 Citations

The connectomics of brain disorders

Alex Fornito;Andrew Zalesky;Michael Breakspear.
Nature Reviews Neuroscience (2015)

1217 Citations

Whole-brain anatomical networks: does the choice of nodes matter?

Andrew Zalesky;Alexander Fornito;Alexander Fornito;Ian H Harding;Luca Cocchi.
NeuroImage (2010)

1087 Citations

Schizophrenia, neuroimaging and connectomics.

Alex Fornito;Andrew Zalesky;Christos Pantelis;Edward T. Bullmore;Edward T. Bullmore.
NeuroImage (2012)

733 Citations

Gray matter abnormalities in Major Depressive Disorder: A meta-analysis of voxel based morphometry studies

Emre Bora;Alex Fornito;Christos Pantelis;Murat Yücel.
Journal of Affective Disorders (2012)

711 Citations

Graph analysis of the human connectome: promise, progress, and pitfalls.

Alex Fornito;Andrew Zalesky;Michael Breakspear.
NeuroImage (2013)

691 Citations

Hierarchical modularity in human brain functional networks.

David Meunier;Renaud Lambiotte;Alexander Fornito;Alexander Fornito;Karen D Ersche.
Frontiers in Neuroinformatics (2009)

676 Citations

Time-resolved resting-state brain networks

Andrew Zalesky;Alex Fornito;Alex Fornito;Luca Cocchi;Leonardo L. Gollo.
Proceedings of the National Academy of Sciences of the United States of America (2014)

663 Citations

Fundamentals of Brain Network Analysis

Alex Fornito;Andrew Zalesky;Edward T Bullmore.
(2016)

619 Citations

Structural brain abnormalities in major depressive disorder: A selective review of recent MRI studies

Valentina Lorenzetti;Nicholas Brian Allen;Alexander Fornito;Murat Yucel.
Journal of Affective Disorders (2009)

596 Citations

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