Michael H. Goldbaum
Impact in
- Ophthalmology top 0.02%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Radiology, Nuclear Medicine and Imaging top 0.02%
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
Papers in
-
- Glaucoma and retinal disorders 43
- Retinal Diseases and Treatments 18
- Retinal and Optic Conditions 11
- Ocular Oncology and Treatments 11
-
- Retinal Imaging and Analysis 48
- Retinal and Macular Surgery 8
- Co-authors
- Valentina L. Kouznetsova (3 shared papers)Adam W. Hoover (4 shared papers)Mark Richard Nelson (8 shared papers)Sandip Chatterjee (2 shared papers)Subhasis Chaudhuri (4 shared papers)Robert Neal Weinreb (47 shared papers)Christopher Bowd (40 shared papers)Linda M. Zangwill (40 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (22 papers)American Journal of Ophthalmology (8 papers)British Journal of Ophthalmology (7 papers)Retina (6 papers)Translational Vision Science & Technology (5 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Michael H. Goldbaum
139 papers receiving 12.0k citations
Michael H. Goldbaum's Hit Papers
Peers
Comparison fields: 5 of 199
- Ophthalmology 5.6k
- Radiology, Nuclear Medicine and Imaging 8.5k
- Health Informatics 356
- Computer Vision and Pattern Recognition 4.1k
- Health Information Management 359
Countries citing papers authored by Michael H. Goldbaum
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
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.
All Works
Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning Hit paper breakdown → | 2018 | 3466 |
| 2 | Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response Hit paper breakdown → | 2000 | 2098 |
| 3 | Detection of blood vessels in retinal images using two-dimensional matched filters Hit paper breakdown → | 1989 | 1392 |
| 4 | Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels Hit paper breakdown → | 2003 | 658 |
| 5 | 2019 | 479 | |
| 6 | 1999 | 280 | |
| 7 | Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs Hit paper breakdown → | 2018 | 257 |
| 8 | 2016 | 206 | |
| 9 | Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response. | 1998 | 190 |
| 10 | 2002 | 181 | |
| 11 | 2019 | 139 | |
| 12 | Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry. | 2002 | 113 |
| 13 | 2002 | 112 | |
| 14 | 1998 | 104 | |
| 15 | Interpretation of automated perimetry for glaucoma by neural network. | 1994 | 99 |
| 16 | 2022 | 96 | |
| 17 | 2018 | 95 | |
| 18 | 2014 | 92 | |
| 19 | Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc. | 2002 | 88 |
| 20 | 2004 | 82 |
About Michael H. Goldbaum
Michael H. Goldbaum is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Genetics and Neurology, having authored 146 papers that have together received 12.8k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (48 papers), Glaucoma and retinal disorders (43 papers), Retinal Diseases and Treatments (18 papers), Digital Imaging for Blood Diseases (12 papers), Retinal and Optic Conditions (11 papers), Ocular Oncology and Treatments (11 papers), Hemoglobinopathies and Related Disorders (10 papers) and Retinal and Macular Surgery (8 papers). The work is most often cited by research in Ophthalmology (5.6k citations), Radiology, Nuclear Medicine and Imaging (8.5k citations), Health Informatics (356 citations), Computer Vision and Pattern Recognition (4.1k citations) and Health Information Management (359 citations). Michael H. Goldbaum has collaborated with scholars based in United States, China and India. Frequent co-authors include Valentina L. Kouznetsova, Adam W. Hoover, Mark Richard Nelson, Sandip Chatterjee, Subhasis Chaudhuri, Robert Neal Weinreb, Christopher Bowd, Linda M. Zangwill, Te-Won Lee and Christopher A. Girkin. Their work appears in journals such as Investigative Ophthalmology & Visual Science, American Journal of Ophthalmology, British Journal of Ophthalmology, Retina and Translational Vision Science & Technology.
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.