D-Index & Metrics Best Publications

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 38 Citations 6,600 117 World Ranking 5210 National Ranking 2278

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Functional magnetic resonance imaging

Steven M. Stufflebeam mainly investigates Neuroscience, Magnetoencephalography, Brain mapping, Electroencephalography and Lateralization of brain function. His work on Neuroscience is being expanded to include thematically relevant topics such as Magnetic resonance imaging. His Magnetoencephalography research integrates issues from Stimulus, Somatosensory system, Sensory system and Speech processing.

As part of the same scientific family, Steven M. Stufflebeam usually focuses on Brain mapping, concentrating on Functional magnetic resonance imaging and intersecting with Cortical stimulation mapping, Cognition, Resting state fMRI and Personalized medicine. In his research on the topic of Electroencephalography, Computer vision is strongly related with Artificial intelligence. His study looks at the relationship between Lateralization of brain function and topics such as Laterality, which overlap with Insula, Superior temporal gyrus and Planum temporale.

His most cited work include:

  • Human posterior auditory cortex gates novel sounds to consciousness. (367 citations)
  • Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates (329 citations)
  • Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors. (274 citations)

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

Steven M. Stufflebeam mostly deals with Neuroscience, Magnetoencephalography, Epilepsy, Electroencephalography and Magnetic resonance imaging. His study in Brain mapping, Resting state fMRI, Temporal lobe, Human brain and Functional magnetic resonance imaging is carried out as part of his Neuroscience studies. His studies in Magnetoencephalography integrate themes in fields like Cortical dysplasia, Diffusion MRI, Ictal, Brain activity and meditation and Statistical parametric mapping.

He interconnects Cerebral cortex, Neurology and Audiology in the investigation of issues within Epilepsy. In his study, Eeg data is strongly linked to Pattern recognition, which falls under the umbrella field of Electroencephalography. His study in Magnetic resonance imaging is interdisciplinary in nature, drawing from both Lateralization of brain function, Nuclear medicine and Biomedical engineering.

He most often published in these fields:

  • Neuroscience (73.33%)
  • Magnetoencephalography (50.37%)
  • Epilepsy (37.78%)

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

  • Epilepsy (37.78%)
  • Magnetoencephalography (50.37%)
  • Electroencephalography (31.11%)

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

Steven M. Stufflebeam spends much of his time researching Epilepsy, Magnetoencephalography, Electroencephalography, Epilepsy surgery and Epilepsy syndromes. His studies deal with areas such as Medical physics and Radiological weapon as well as Epilepsy. Magnetoencephalography is a subfield of Neuroscience that Steven M. Stufflebeam tackles.

In general Neuroscience, his work in Gamma Rhythm, Default mode network and Brain mapping is often linked to Striatum linking many areas of study. His work on Ictal and Epileptogenic zone is typically connected to Qualitative evidence and Modal as part of general Electroencephalography study, connecting several disciplines of science. His Epilepsy syndromes research is multidisciplinary, relying on both White matter, Audiology, Thalamus, Cortex and Biomarker.

Between 2017 and 2021, his most popular works were:

  • Maturation trajectories of cortical resting-state networks depend on the mediating frequency band (30 citations)
  • Scalp recorded spike ripples predict seizure risk in childhood epilepsy better than spikes. (22 citations)
  • Diet modulates brain network stability, a biomarker for brain aging, in young adults (21 citations)

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

  • Neuroscience
  • Internal medicine
  • Functional magnetic resonance imaging

His primary areas of investigation include Electroencephalography, Magnetoencephalography, Internal medicine, Epilepsy and Scalp. Electroencephalography is often connected to Radiology in his work. His Magnetoencephalography research is within the category of Neuroscience.

His study on Internal medicine also encompasses disciplines like

  • Neuroimaging together with Dementia, Ketogenic diet, Brain activity and meditation and Aging brain,
  • Endocrinology that intertwine with fields like Human brain, White matter and Bolus. His Epilepsy research incorporates elements of Biomarker, Statistical parametric mapping, Audiology and Confidence interval. Steven M. Stufflebeam has included themes like Pediatric surgery and Source imaging in his Scalp study.

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

Human posterior auditory cortex gates novel sounds to consciousness.

Iiro P. Jääskeläinen;Jyrki Ahveninen;Giorgio Bonmassar;Anders M. Dale.
Proceedings of the National Academy of Sciences of the United States of America (2004)

484 Citations

Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates

Fa-Hsuan Lin;Thomas Witzel;Seppo P. Ahlfors;Steven M. Stufflebeam.
NeuroImage (2006)

431 Citations

Parcellating cortical functional networks in individuals

Danhong Wang;Randy L Buckner;Michael D Fox;Michael D Fox;Daphne J Holt.
Nature Neuroscience (2015)

357 Citations

Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors.

Hesheng Liu;Steven M. Stufflebeam;Jorge Sepulcre;Trey Hedden.
Proceedings of the National Academy of Sciences of the United States of America (2009)

340 Citations

3T phased array MRI improves the presurgical evaluation in focal epilepsies: A prospective study

S. Knake;C. Triantafyllou;L. L. Wald;G. Wiggins.
Neurology (2005)

265 Citations

Mapping the signal-to-noise-ratios of cortical sources in magnetoencephalography and electroencephalography.

Daniel M. Goldenholz;Seppo P. Ahlfors;Seppo P. Ahlfors;Matti S. Hämäläinen;Matti S. Hämäläinen;Dahlia Sharon.
Human Brain Mapping (2009)

225 Citations

Latency of the auditory evoked neuromagnetic field components: stimulus dependence and insights toward perception.

Timothy P.L. Roberts;Paul Ferrari;Steven M. Stufflebeam;David Poeppel.
Journal of Clinical Neurophysiology (2000)

201 Citations

Modeling GABA Alterations in Schizophrenia: A Link Between Impaired Inhibition and Altered Gamma and Beta Range Auditory Entrainment

Dorea Vierling-Claassen;Peter Siekmeier;Steven Stufflebeam;Nancy J Kopell.
Journal of Neurophysiology (2008)

199 Citations

Quantitative Analysis and Biophysically Realistic Neural Modeling of the MEG Mu Rhythm: Rhythmogenesis and Modulation of Sensory-Evoked Responses

Stephanie R. Jones;Dominique L. Pritchett;Michael A. Sikora;Steven M. Stufflebeam.
Journal of Neurophysiology (2009)

196 Citations

A surface-based analysis of language lateralization and cortical asymmetry

Douglas N. Greve;Lise Van der Haegen;Qing Cai;Qing Cai;Qing Cai;Steven Stufflebeam.
Journal of Cognitive Neuroscience (2013)

196 Citations

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