Michael H. Goldbaum

16.1k citations
138 papers · 7.5k indexed · 4 hit papers · h-index 36

Impact in

Papers in

Michael H. Goldbaum

133 papers receiving 7.0k citations

Hit Papers

Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs 2018 · 224 citations
224198920262001201350010001.5k

Peers

Michael H. Goldbaum
Comparison fields: 5 of 153
  • Ophthalmology 5.3k
  • Radiology, Nuclear Medicine and Imaging 6.1k
  • Computer Vision and Pattern Recognition 3.0k
  • Health Information Management 129
  • Genetics 217
Replace Yalin Zheng with:
Yalin Zheng United Kingdom
Béatrice Cochener France
Damon Wing Kee Wong Singapore
Hossein Rabbani Iran
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Lequan Yu Hong Kong
Weifang Zhu China
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Philippe Burlina United States
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Citations per field
00.5×9.4×
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Citations per year

Countries citing papers authored by Michael H. Goldbaum

Since Specialization
Citations

This map shows the geographic impact of Michael H. Goldbaum's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael H. Goldbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H. Goldbaum more than expected).

Fields of papers citing papers by Michael H. Goldbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Goldbaum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael H. Goldbaum. The network helps show where Michael H. Goldbaum may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael H. Goldbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael H. Goldbaum Line = papers co-authored together Michael H. Goldbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20247
4 20236
5 202314
6 202135
7
Performance of Deep Learning Models to Detect Glaucoma Using Unsegmented Radial and Circle OCT Scans of the Optic Nerve Head
20211
8
Deep Learning Models Based on Unsegmented OCT RNFL Circle Scans Provide Accurate Detection of Glaucoma and High Resolution Prediction of Visual Field Damage
20202
9
Mutations in GNAQ and GNA11 in Chinese patients with uveal melanoma
20161
10
Unsupervised machine learning to recognize glaucoma defect patterns and detect progression in RNFL thickness measurements
20151
11
Accurate Retinal Artery and Vein Classification using Local Binary Patterns
20142
12 20116
13
Visudyne Photodynamic Therapy for ARMD-Associated CNV After Initial Treatment Course With Bevacizumab
20081
14
Learning Low Dimensional Manifold Representation of Scanning Laser Polarimetry Data From Healthy and Glaucomatous Eyes
20051
15
Probability of Glaucoma Determined from Standard Automated Perimetry and from Optic Disk Topography using Relevance Vector Machine Classifiers
20042
16
Comparing Confocal Scanning Laser Ophthalmoscopy Measurements of the Optic Nerve Head and Peripapillary Retina for Detecting Glaucoma using Machine Learning Classifiers
20031
17 200225
18 1999252
19
Fuzzy convergence
199813
20
Image Understanding for Automated Retinal Diagnosis.
198922

About Michael H. Goldbaum

Michael H. Goldbaum is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Genetics, Computer Vision and Pattern Recognition and Neurology, having authored 138 papers that have together received 7.5k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (77 papers), Glaucoma and retinal disorders (66 papers), Retinal Diseases and Treatments (47 papers), Retinal and Optic Conditions (13 papers), Digital Imaging for Blood Diseases (11 papers), Ocular Oncology and Treatments (10 papers), Hemoglobinopathies and Related Disorders (9 papers) and Intraocular Surgery and Lenses (8 papers). The work is most often cited by research in Ophthalmology (5.3k citations), Radiology, Nuclear Medicine and Imaging (6.1k citations), Computer Vision and Pattern Recognition (3.0k citations), Health Information Management (129 citations) and Genetics (217 citations). Michael H. Goldbaum has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Valentina L. Kouznetsova, Adam Hoover, Mark Nelson, S. Chatterjee, Subhasis Chaudhuri, Robert N. Weinreb, Christopher Bowd, Linda M. Zangwill, Te-Won Lee and Terrence J. Sejnowski. Their work appears in journals such as Investigative Ophthalmology & Visual Science, American Journal of Ophthalmology, British Journal of Ophthalmology, Retina and Ophthalmology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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