Michael S. Berlin

25 papers receiving 680 citations

Peers

Michael S. Berlin
Comparison fields: 5 of 62
  • Ophthalmology 193
  • Radiology, Nuclear Medicine and Imaging 410
  • Acoustics and Ultrasonics 5
  • Artificial Intelligence 115
  • Computer Vision and Pattern Recognition 72
Replace Peter A. Karth with:
Peter A. Karth United States
Christoph Kolbitsch Germany
Alistair Gorman United Kingdom
E Simon Barriga United States
A. Mosquera Spain
Shanshan Cui China
Shuqian Luo China
Luís Mendes Portugal
Mariana del Fresno Argentina
Lavdie Rada Türkiye
Michael S. Berlin relative to Peter A. Karth United States Peter A. Karth's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael S. Berlin

Since Specialization
Citations

This map shows the geographic impact of Michael S. Berlin'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 S. Berlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Berlin more than expected).

Fields of papers citing papers by Michael S. Berlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Berlin. 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 S. Berlin. The network helps show where Michael S. Berlin may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael S. Berlin, 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 S. Berlin Line = papers co-authored together Michael S. Berlin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993167
2 2011142
3 1994123
4
Keratoconus detected by videokeratography in candidates for photorefractive keratectomy.
199567
5 200157
6 198738
7 199326
8 201619
9 201514
10 201611
11 201811
12 199010
13 198910
14 20218
15 19955
16 20175
17 20223
18 20123
19 19983
20 20022

About Michael S. Berlin

Michael S. Berlin is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Neurology, Surgery and Artificial Intelligence, having authored 26 papers that have together received 730 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (13 papers), Corneal surgery and disorders (7 papers), Cerebral Venous Sinus Thrombosis (3 papers), Quantum Information and Cryptography (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Sympathectomy and Hyperhidrosis Treatments (1 paper), Retinal Imaging and Analysis (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Ophthalmology (193 citations), Radiology, Nuclear Medicine and Imaging (410 citations), Acoustics and Ultrasonics (5 citations), Artificial Intelligence (115 citations) and Computer Vision and Pattern Recognition (72 citations). Michael S. Berlin has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Anthony B. Nesburn, Ezra Maguen, Jonathan I. Macy, John Hofbauer, Thanassis Papaioannou, James J. Salz, Michael Wahl, Oliver Benson, Hans-Jürgen Rahn and Ronald R. Krueger. Their work appears in journals such as Ophthalmology, Current Opinion in Ophthalmology, Investigative Ophthalmology & Visual Science, Applied Physics Letters and Journal of Cataract & Refractive Surgery.

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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