D-Index & Metrics Best Publications
Benjamin H. Brinkmann

Benjamin H. Brinkmann

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 32 Citations 3,850 100 World Ranking 4865 National Ranking 2099

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Artificial intelligence
  • Electroencephalography

The scientist’s investigation covers issues in Epilepsy, Electroencephalography, Neuroscience, Magnetic resonance imaging and Ictal. Benjamin H. Brinkmann frequently studies issues relating to Nuclear medicine and Epilepsy. The Nuclear medicine study combines topics in areas such as Temporal lobe and Ictal-Interictal SPECT Analysis by SPM.

His Electroencephalography study incorporates themes from Neurological disorder, Epileptogenesis, Brain mapping and Scalp. His Magnetic resonance imaging research is multidisciplinary, incorporating elements of Image processing, Image restoration, Unsharp masking, Computer vision and Artificial intelligence. His study in Ictal is interdisciplinary in nature, drawing from both Crowdsourcing and Audiology.

His most cited work include:

  • Microseizures and the spatiotemporal scales of human partial epilepsy (223 citations)
  • Effect of GLP-1 on gastric volume, emptying, maximum volume ingested, and postprandial symptoms in humans. (207 citations)
  • Optimized homomorphic unsharp masking for MR grayscale inhomogeneity correction (204 citations)

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

Benjamin H. Brinkmann mainly focuses on Epilepsy, Electroencephalography, Ictal, Neuroscience and Artificial intelligence. His Epilepsy study incorporates themes from Magnetic resonance imaging and Audiology. His studies in Magnetic resonance imaging integrate themes in fields like Single-photon emission computed tomography and Computer vision.

His study looks at the relationship between Electroencephalography and topics such as Scalp, which overlap with Biomedical engineering. His work investigates the relationship between Ictal and topics such as Nuclear medicine that intersect with problems in Ictal-Interictal SPECT Analysis by SPM and Image processing. His biological study spans a wide range of topics, including Machine learning and Pattern recognition.

He most often published in these fields:

  • Epilepsy (61.59%)
  • Electroencephalography (35.51%)
  • Ictal (29.71%)

What were the highlights of his more recent work (between 2018-2021)?

  • Epilepsy (61.59%)
  • Electroencephalography (35.51%)
  • Ictal (29.71%)

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

His main research concerns Epilepsy, Electroencephalography, Ictal, Neuroscience and Audiology. His Epilepsy research integrates issues from Retrospective cohort study, Ambulatory, Scalp, Pediatrics and Cohort. His work in the fields of Intracranial eeg overlaps with other areas such as Clinical neurology.

His research in Ictal intersects with topics in High density eeg, Magnetic resonance imaging and Nuclear medicine. His Audiology research incorporates elements of Mobile apps, Seizure onset zone, Seizure onset and Seizure diary. Benjamin H. Brinkmann works mostly in the field of Ictal-Interictal SPECT Analysis by SPM, limiting it down to concerns involving Statistical parametric mapping and, occasionally, Anesthesia.

Between 2018 and 2021, his most popular works were:

  • Intracerebral EEG Artifact Identification Using Convolutional Neural Networks (22 citations)
  • Forecasting cycles of seizure likelihood. (21 citations)
  • Laser ablation for mesial temporal epilepsy: a multi-site, single institutional series. (21 citations)

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

  • Internal medicine
  • Artificial intelligence
  • Electroencephalography

Benjamin H. Brinkmann focuses on Electroencephalography, Epilepsy, Artificial intelligence, Pattern recognition and Convolutional neural network. The Electroencephalography study combines topics in areas such as Real-time computing, Leverage, Audiology and Linear classifier. His Epilepsy study deals with the bigger picture of Neuroscience.

While the research belongs to areas of Neuroscience, he spends his time largely on the problem of Potential biomarkers, intersecting his research to questions surrounding Temporal lobe. His Pattern recognition study combines topics from a wide range of disciplines, such as University hospital, Electrophysiology and Identification. His study looks at the relationship between Convolutional neural network and fields such as Deep learning, as well as how they intersect with chemical problems.

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

Optimized homomorphic unsharp masking for MR grayscale inhomogeneity correction

B.H. Brinkmann;A. Manduca;R.A. Robb.
IEEE Transactions on Medical Imaging (1998)

291 Citations

Microseizures and the spatiotemporal scales of human partial epilepsy

Matt Stead;Mark Bower;Benjamin H. Brinkmann;Kendall Lee.
Brain (2010)

282 Citations

Localization of the epileptic focus by low-resolution electromagnetic tomography in patients with a lesion demonstrated by MRI.

Gregory A. Worrell;Terrence D. Lagerlund;Frank W. Sharbrough;Benjamin H. Brinkmann.
Brain Topography (2000)

250 Citations

Effect of GLP-1 on gastric volume, emptying, maximum volume ingested, and postprandial symptoms in humans.

Silvia Delgado-Aros;Doe Young Kim;Duane D. Burton;George M. Thomforde.
American Journal of Physiology-gastrointestinal and Liver Physiology (2002)

243 Citations

Subtraction peri-ictal SPECT is predictive of extratemporal epilepsy surgery outcome

T. J. O'Brien;Elson L. So;B. P. Mullan;G. D. Cascino.
Neurology (2000)

215 Citations

Development of a test to measure gastric accommodation in humans

Sjoerd D. Kuiken;Melvin Samsom;Michael Camilleri;Brian P. Mullan.
American Journal of Physiology-gastrointestinal and Liver Physiology (1999)

204 Citations

Subtraction ictal SPET co-registered to MRI in partial epilepsy: Description and technical validation of the method with phantom and patient studies

O'Brien Tj;O'Connor Mk;Mullan Bp;Brinkmann Bh.
Nuclear Medicine Communications (1998)

190 Citations

Noninvasive measurement of gastric accommodation in patients with idiopathic nonulcer dyspepsia

Doe Young Kim;Silvia Delgado-Aros;Michael Camilleri;Melvin Samsom.
The American Journal of Gastroenterology (2001)

181 Citations

Synchrony in normal and focal epileptic brain: the seizure onset zone is functionally disconnected.

Christopher P. Warren;Sanqing Hu;Sanqing Hu;Matt Stead;Benjamin H. Brinkmann.
Journal of Neurophysiology (2010)

160 Citations

Pathological and physiological high-frequency oscillations in focal human epilepsy

Andrew Matsumoto;Benjamin H. Brinkmann;S. Matthew Stead;Joseph Y Matsumoto.
Journal of Neurophysiology (2013)

147 Citations

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