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
Medicine D-index 88 Citations 24,414 543 World Ranking 8492 National Ranking 4530

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Ophthalmology
  • Glaucoma

His primary areas of investigation include Glaucoma, Ophthalmology, Intraocular pressure, Optical coherence tomography and Nerve fiber layer. His Glaucoma research includes elements of Optometry, Visual field, Receiver operating characteristic and Optic nerve. His research on Ophthalmology frequently connects to adjacent areas such as Prospective cohort study.

The study incorporates disciplines such as Reproducibility, Risk factor and Hazard ratio, Confidence interval in addition to Intraocular pressure. His work on Scanning laser ophthalmoscopy is typically connected to Cirrus as part of general Optical coherence tomography study, connecting several disciplines of science. His work in Nerve fiber layer covers topics such as Tomography which are related to areas like Healthy subjects.

His most cited work include:

  • The Pathophysiology and Treatment of Glaucoma: A Review (1163 citations)
  • Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography (493 citations)
  • Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography (493 citations)

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

The scientist’s investigation covers issues in Glaucoma, Ophthalmology, Visual field, Intraocular pressure and Nerve fiber layer. His Glaucoma research integrates issues from Optometry and Optical coherence tomography. His study in Ophthalmology is interdisciplinary in nature, drawing from both Prospective cohort study and Receiver operating characteristic.

His biological study spans a wide range of topics, including Decibel, Audiology and Cohort. Felipe A. Medeiros combines subjects such as Visual acuity and Confidence interval with his study of Intraocular pressure. His Nerve fiber layer study is related to the wider topic of Retinal.

He most often published in these fields:

  • Glaucoma (85.14%)
  • Ophthalmology (72.21%)
  • Visual field (28.27%)

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

  • Glaucoma (85.14%)
  • Ophthalmology (72.21%)
  • Visual field (28.27%)

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

Felipe A. Medeiros mainly investigates Glaucoma, Ophthalmology, Visual field, Optical coherence tomography and Nerve fiber layer. The concepts of his Glaucoma study are interwoven with issues in Intraocular pressure, Retinal, Confidence interval, Artificial intelligence and Prospective cohort study. He works in the field of Ophthalmology, namely Optic nerve.

His studies in Visual field integrate themes in fields like Optometry, Clinical trial, Cohort and Sample size determination. The Optical coherence tomography study which covers Standard deviation that intersects with Tomography. The Nerve fiber layer study combines topics in areas such as Receiver operating characteristic, Deep learning, Convolutional neural network and Optic disc.

Between 2017 and 2021, his most popular works were:

  • From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs (57 citations)
  • Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs. (36 citations)
  • Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression. (30 citations)

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

  • Internal medicine
  • Statistics
  • Glaucoma

Glaucoma, Visual field, Ophthalmology, Prospective cohort study and Cohort study are his primary areas of study. His work on Nerve fiber layer as part of general Glaucoma study is frequently connected to Absolute deviation, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. He focuses mostly in the field of Nerve fiber layer, narrowing it down to topics relating to Automated perimetry and, in certain cases, Spectral domain and Registry study.

His Visual field research incorporates elements of Statistics, Sample size determination, Cohort and Clinical trial. In his research on the topic of Ophthalmology, Biomechanics and Odds ratio is strongly related with Decibel. His Optical coherence tomography research includes themes of Retinal and Artificial intelligence.

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

The Pathophysiology and Treatment of Glaucoma: A Review

Robert N. Weinreb;Tin Aung;Felipe A. Medeiros.
JAMA (2014)

2454 Citations

Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography

Felipe A. Medeiros;Felipe A. Medeiros;Linda M. Zangwill;Christopher Bowd;Roberto M. Vessani.
American Journal of Ophthalmology (2005)

761 Citations

Prevalence of ocular surface disease in glaucoma patients.

Eamon W. Leung;Felipe A. Medeiros;Robert N. Weinreb.
Journal of Glaucoma (2008)

673 Citations

Comparison of the GDx VCC scanning laser polarimeter, HRT II confocal scanning laser ophthalmoscope, and stratus OCT optical coherence tomograph for the detection of glaucoma.

Felipe A. Medeiros;Linda M. Zangwill;Christopher Bowd;Robert N. Weinreb.
Archives of Ophthalmology (2004)

654 Citations

Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes.

Adeleh Yarmohammadi;Linda M. Zangwill;Alberto Diniz-Filho;Min Hee Suh.
Investigative Ophthalmology & Visual Science (2016)

422 Citations

Evaluation of the influence of corneal biomechanical properties on intraocular pressure measurements using the ocular response analyzer.

Felipe A. Medeiros;Robert N. Weinreb.
Journal of Glaucoma (2006)

405 Citations

Corneal thickness as a risk factor for visual field loss in patients with preperimetric glaucomatous optic neuropathy.

Felipe A Medeiros;Pamela A Sample;Linda M Zangwill;Christopher Bowd.
American Journal of Ophthalmology (2003)

355 Citations

Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma.

Adeleh Yarmohammadi;Linda M. Zangwill;Alberto Diniz-Filho;Min Hee Suh.
Ophthalmology (2016)

338 Citations

Common Variants at 9p21 and 8q22 Are Associated with Increased Susceptibility to Optic Nerve Degeneration in Glaucoma

Janey L. Wiggs;Brian L. Yaspan;Michael A. Hauser;Jae H. Kang.
PLOS Genetics (2012)

300 Citations

Reproducibility of RTVue Retinal Nerve Fiber Layer Thickness and Optic Disc Measurements and Agreement with Stratus Optical Coherence Tomography Measurements

Alberto O. González-García;Gianmarco Vizzeri;Christopher Bowd;Felipe A. Medeiros.
American Journal of Ophthalmology (2009)

279 Citations

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