Raphael Sznitman

3.6k citations
120 papers · 1.8k · h-index 23

Impact in

    • Retinal Diseases and Treatments
    • Glaucoma and retinal disorders
    • Retinal and Optic Conditions
  • Aging top 5%

Papers in

Raphael Sznitman

114 papers receiving 1.8k citations

Peers

Raphael Sznitman
Comparison fields: 5 of 144
  • Ophthalmology 420
  • Aging 57
  • Health Informatics 40
  • Radiology, Nuclear Medicine and Imaging 647
  • Computer Vision and Pattern Recognition 455
Replace María J. Ledesma‐Carbayo with:
María J. Ledesma‐Carbayo Spain
Vicente Grau United Kingdom
Hideo Yokota Japan
A. Santos Spain
Lin Gu Japan
Andy Tsai United States
Grégoire Malandain France
Filiz Bunyak United States
Étienne Decencière France
Amir A. Amini United States
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Citations per field
00.5×5.2×
María J. Ledesma‐Carbayo · 1×
Citations per year

Countries citing papers authored by Raphael Sznitman

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Sznitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael Sznitman. 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 Raphael Sznitman. The network helps show where Raphael Sznitman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201895
2 202271
3 201571
4 201866
5 201866
6 201762
7 201059
8 202155
9 201854
10 202150
11 201945
12 201245
13 202145
14 201145
15 201044
16 201243
17 201243
18 201437
19 202236
20 201236

About Raphael Sznitman

Raphael Sznitman is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 120 papers that have together received 1.8k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (36 papers), Glaucoma and retinal disorders (17 papers), Optical Coherence Tomography Applications (16 papers), Retinal Diseases and Treatments (15 papers), Retinal and Macular Surgery (12 papers), Retinal and Optic Conditions (10 papers), Machine Learning and Algorithms (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). The work is most often cited by research in Ophthalmology (420 citations), Aging (57 citations), Health Informatics (40 citations), Radiology, Nuclear Medicine and Imaging (647 citations) and Computer Vision and Pattern Recognition (455 citations). Raphael Sznitman has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Pascal Fua, Bruno Jedynak, Gregory D. Hager, Martin S. Zinkernagel, Rogério Richa, Russell H. Taylor, Pablo Márquez-Neila, Thomas Kurmann, Sebastián Wolf and Ksenia Konyushkova. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Scientific Reports, Translational Vision Science & Technology, PLoS ONE and Medical Image Analysis.

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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