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 71 Citations 25,275 302 World Ranking 822 National Ranking 435

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Neuroscience
  • Statistics

Her primary areas of study are Neuroscience, Cognition, Brain mapping, Complex network and Human brain. The concepts of her Neuroscience study are interwoven with issues in Cluster analysis and Set. Her Cognition study incorporates themes from Motor skill, Control reconfiguration, Cognitive science, Network science and Dynamic network analysis.

Her Brain mapping study combines topics in areas such as Resting state fMRI, Frontal lobe and Default mode network. Her Complex network study integrates concerns from other disciplines, such as Graph theory, Data mining, Modularity and Magnetoencephalography. Her research integrates issues of Cerebral cortex, Multivariate statistics, Diffusion MRI and Neuroimaging in her study of Human brain.

Her most cited work include:

  • Small-World Brain Networks (1757 citations)
  • Dynamic reconfiguration of human brain networks during learning. (1061 citations)
  • Functional Connectivity and Brain Networks in Schizophrenia (999 citations)

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

Her primary areas of investigation include Neuroscience, Cognition, Artificial intelligence, Network science and Cognitive science. Her study focuses on the intersection of Neuroscience and fields such as White matter with connections in the field of Diffusion MRI. Her work is dedicated to discovering how Cognition, Dynamic network analysis are connected with Network dynamics and other disciplines.

Her research in Artificial intelligence intersects with topics in Machine learning, Theoretical computer science and Pattern recognition. Danielle S. Bassett has included themes like Network architecture and Graph theory in her Network science study. Her Resting state fMRI study frequently links to related topics such as Connectome.

She most often published in these fields:

  • Neuroscience (32.53%)
  • Cognition (21.31%)
  • Artificial intelligence (15.71%)

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

  • Neuroscience (32.53%)
  • Cognition (21.31%)
  • Cognitive science (10.58%)

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

Danielle S. Bassett spends much of her time researching Neuroscience, Cognition, Cognitive science, Network science and Controllability. She regularly links together related areas like Citation in her Neuroscience studies. Her work carried out in the field of Cognition brings together such families of science as Connectome and Neuroimaging.

Her Cognitive science research includes elements of Network architecture, Structure, Computational model and Set. Her Network science research is multidisciplinary, incorporating perspectives in Modularity, Mental health, Psychiatry, Co morbidity and Curiosity. Her Controllability study combines topics from a wide range of disciplines, such as Cognitive psychology, Theoretical computer science, Centrality, Metric and Network controllability.

Between 2019 and 2021, her most popular works were:

  • Questions and controversies in the study of time-varying functional connectivity in resting fMRI (111 citations)
  • The extent and drivers of gender imbalance in neuroscience reference lists. (83 citations)
  • Development of structure–function coupling in human brain networks during youth (56 citations)

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

  • Artificial intelligence
  • Neuroscience
  • Statistics

Danielle S. Bassett focuses on Neuroscience, Cognition, Cognitive science, Network science and Structure. Danielle S. Bassett merges Neuroscience with Downstream in her research. Her Cognition research incorporates themes from Network dynamics, Controllability and Brain mapping.

Her studies deal with areas such as Network architecture, Artificial neural network, Default mode network and Computational model as well as Cognitive science. Her Network science research integrates issues from Neural function, Graph theory and Session. Her work in Structure covers topics such as Information theory which are related to areas like Telecommunications network, Divergence, Complex network and Information processing.

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

Small-World Brain Networks

Danielle Smith Bassett;Ed Bullmore.
The Neuroscientist (2006)

2320 Citations

Dynamic reconfiguration of human brain networks during learning.

Danielle S. Bassett;Nicholas F. Wymbs;Mason A. Porter;Peter J. Mucha.
Proceedings of the National Academy of Sciences of the United States of America (2011)

1325 Citations

Functional Connectivity and Brain Networks in Schizophrenia

Mary-Ellen Lynall;Danielle S. Bassett;Danielle S. Bassett;Robert Kerwin;Peter J. McKenna.
The Journal of Neuroscience (2010)

1244 Citations

Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia

Danielle S. Bassett;Edward Bullmore;Edward Bullmore;Beth A. Verchinski;Venkata S. Mattay.
The Journal of Neuroscience (2008)

1151 Citations

Intrinsic and Task-Evoked Network Architectures of the Human Brain

Michael W. Cole;Michael W. Cole;Danielle S. Bassett;Jonathan D. Power;Todd S. Braver.
Neuron (2014)

1048 Citations

Brain Graphs: Graphical Models of the Human Brain Connectome

Edward T. Bullmore;Danielle S. Bassett.
Annual Review of Clinical Psychology (2011)

971 Citations

Adaptive reconfiguration of fractal small-world human brain functional networks

Danielle S. Bassett;Danielle S. Bassett;Andreas Meyer-Lindenberg;Sophie Achard;Thomas Duke.
Proceedings of the National Academy of Sciences of the United States of America (2006)

842 Citations

Human Brain Networks in Health and Disease

Danielle S Bassett;Edward T Bullmore;Edward T Bullmore.
Current Opinion in Neurology (2009)

803 Citations

Know Your Place: Neural Processing of Social Hierarchy in Humans

Caroline F. Zink;Yunxia Tong;Qiang Chen;Danielle S. Bassett.
Neuron (2008)

590 Citations

On Human Brain Networks in Health and Disease

Urs Braun;Sarah F Muldoon;Sarah F Muldoon;Danielle S Bassett.
eLS (2015)

524 Citations

Best Scientists Citing Danielle S. Bassett

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Vince D. Calhoun

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Edward T. Bullmore

Edward T. Bullmore

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Olaf Sporns

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Martijn P. van den Heuvel

Martijn P. van den Heuvel

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Andrew Zalesky

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Dinggang Shen

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ShanghaiTech University

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Alex Fornito

Alex Fornito

Monash University

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Morten L. Kringelbach

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Cornelis J. Stam

Cornelis J. Stam

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Dimitri Van De Ville

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École Polytechnique Fédérale de Lausanne

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Michael P. Milham

Michael P. Milham

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Michael Breakspear

Michael Breakspear

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Mason A. Porter

Mason A. Porter

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Boris C. Bernhardt

Boris C. Bernhardt

Montreal Neurological Institute and Hospital

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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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