H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Neuroscience H-index 130 Citations 87,631 324 World Ranking 84 National Ranking 53
Medicine H-index 150 Citations 90,673 530 World Ranking 426 National Ranking 258

Research.com Recognitions

Awards & Achievements

2017 - Fellow, National Academy of Inventors

2016 - Fellow of the American Academy of Arts and Sciences

2010 - Member of the National Academy of Medicine (NAM)

2006 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Magnetic resonance imaging
  • Cancer

His main research concerns Neuroscience, Functional magnetic resonance imaging, Magnetic resonance imaging, Nuclear magnetic resonance and Internal medicine. His Neuroscience study is mostly concerned with Brain mapping, Visual cortex, Functional neuroimaging, Cognition and Cingulate cortex. His Functional magnetic resonance imaging research incorporates themes from Cognitive psychology, Temporal cortex, Auditory cortex, Functional imaging and Cortex.

His Magnetic resonance imaging study combines topics from a wide range of disciplines, such as Stroke, Hemodynamics, Anatomy and Positron emission tomography. His work deals with themes such as Contrast, Premovement neuronal activity, Perfusion scanning, Oxygenation and In vivo, which intersect with Nuclear magnetic resonance. His biological study spans a wide range of topics, including Cardiology, Endocrinology and Lesion, Pathology.

His most cited work include:

  • Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. (5558 citations)
  • Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. (3546 citations)
  • Automatically Parcellating the Human Cerebral Cortex (2907 citations)

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

The scientist’s investigation covers issues in Magnetic resonance imaging, Neuroscience, Nuclear magnetic resonance, Internal medicine and Functional magnetic resonance imaging. His Magnetic resonance imaging research includes elements of Perfusion, Nuclear medicine, Pathology, Hemodynamics and Cerebral blood flow. His studies deal with areas such as Blood flow and Blood volume as well as Hemodynamics.

His study in Brain mapping, Cognition, Visual cortex, Neuroimaging and Cortex falls within the category of Neuroscience. Bruce R. Rosen integrates Nuclear magnetic resonance and Materials science in his studies. His research investigates the connection between Internal medicine and topics such as Cardiology that intersect with problems in Stroke.

He most often published in these fields:

  • Magnetic resonance imaging (29.99%)
  • Neuroscience (28.62%)
  • Nuclear magnetic resonance (16.98%)

What were the highlights of his more recent work (between 2013-2021)?

  • Magnetic resonance imaging (29.99%)
  • Neuroscience (28.62%)
  • Nuclear medicine (12.76%)

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

Magnetic resonance imaging, Neuroscience, Nuclear medicine, Internal medicine and Artificial intelligence are his primary areas of study. While the research belongs to areas of Magnetic resonance imaging, Bruce R. Rosen spends his time largely on the problem of Pathology, intersecting his research to questions surrounding In vivo. Neuroscience is a component of his Neuroimaging, Resting state fMRI, Functional magnetic resonance imaging, Insula and Cognition studies.

As a part of the same scientific family, Bruce R. Rosen mostly works in the field of Functional magnetic resonance imaging, focusing on Cerebral blood flow and, on occasion, Perfusion. His work on Positron emission tomography as part of general Nuclear medicine research is often related to In patient, thus linking different fields of science. Bruce R. Rosen interconnects Endocrinology, Oncology and Cardiology in the investigation of issues within Internal medicine.

Between 2013 and 2021, his most popular works were:

  • Image reconstruction by domain-transform manifold learning (624 citations)
  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (493 citations)
  • Evidence for brain glial activation in chronic pain patients (252 citations)

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

  • Internal medicine
  • Magnetic resonance imaging
  • Cancer

His primary scientific interests are in Magnetic resonance imaging, Nuclear medicine, Neuroscience, Pathology and Internal medicine. The various areas that Bruce R. Rosen examines in his Magnetic resonance imaging study include Positron emission tomography, Neuroimaging and Glioma. His study in Neuroscience is interdisciplinary in nature, drawing from both Hemodynamics and Haemodynamic response.

Bruce R. Rosen has researched Pathology in several fields, including In vivo magnetic resonance spectroscopy and Endocrinology. His Internal medicine study combines topics in areas such as Oncology and Cardiology. In his study, which falls under the umbrella issue of Brain mapping, Resting state fMRI is strongly linked to Functional magnetic resonance imaging.

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

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Bruce Fischl;David H. Salat;Evelina Busa;Marilyn Albert.
Neuron (2002)

6079 Citations

Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.

Kenneth K. Kwong;John W. Belliveau;David A. Chesler;Inna E. Goldberg.
Proceedings of the National Academy of Sciences of the United States of America (1992)

5074 Citations

Automatically Parcellating the Human Cerebral Cortex

Bruce Fischl;André van der Kouwe;Christophe Destrieux;Eric Halgren.
Cerebral Cortex (2004)

3271 Citations

Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging

M. I. Sereno;A. M. Dale;J. B. Reppas;K. K. Kwong.
Science (1995)

2772 Citations

Functional mapping of the human visual cortex by magnetic resonance imaging

Belliveau Jw;Kennedy Dn;McKinstry Rc;Buchbinder Br.
Science (1991)

2427 Citations

Response and Habituation of the Human Amygdala during Visual Processing of Facial Expression

Hans C Breiter;Nancy L Etcoff;Paul J Whalen;William A Kennedy.
Neuron (1996)

2176 Citations

Building Memories: Remembering and Forgetting of Verbal Experiences as Predicted by Brain Activity

Anthony D. Wagner;Daniel L. Schacter;Michael Rotte;Michael Rotte;Wilma Koutstaal.
Science (1998)

1974 Citations

Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.

R. Malach;J. B. Reppas;R. R. Benson;K. K. Kwong.
Proceedings of the National Academy of Sciences of the United States of America (1995)

1856 Citations

High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis

Leif Østergaard;Robert M. Weisskoff;David A. Chesler;Carsten Gyldensted.
Magnetic Resonance in Medicine (1996)

1764 Citations

Top-down facilitation of visual recognition

M. Bar;K. S. Kassam;A. S. Ghuman;J. Boshyan.
Proceedings of the National Academy of Sciences of the United States of America (2006)

1625 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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