Jorge Cuadros

8.7k citations
32 papers · 5.3k indexed · 1 hit paper · h-index 14
Topics
Retinal Imaging and Analysis (25 papers)Retinal Diseases and Treatments (22 papers)Glaucoma and retinal disorders (10 papers)

In The Last Decade

Jorge Cuadros

28 papers receiving 5.2k citations

Hit Papers

Development and Validation of a Deep Learning Algorithm f...2016202620192022201610002.0k3.0k4.0k

Peers

Jorge Cuadros
Comparison fields: 5 of 162
  • Radiology, Nuclear Medicine and Imaging 3.5k
  • Ophthalmology 2.0k
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 836
  • Health Informatics 667
Replace Derek Wu with:
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Kasumi Widner United States
Marc Coram United States
T. Madams United States
Varun Gulshan United States
Kim Ramasamy India
Rajiv Raman India
Arunachalam Narayanaswamy United States
Lily Peng United States
Yun Liu United States
Jorge Cuadros relative to Derek Wu Canada Derek Wu's profile →
Citations per field
00.5×6.7×
Derek Wu · 1×
Citations per year

Countries citing papers authored by Jorge Cuadros

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Cuadros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Cuadros

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Cuadros. A scholar is included among the top collaborators of Jorge Cuadros based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorge Cuadros. Jorge Cuadros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 20
4 29
5 53
6 0
7 32
8 10
9 135
10 64
11 20
12 8
13
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographsbreakdown →
4490
14 16
15
Validation of Confidence Levels for a Cell Phone-Based Refractor (NETRA-G)
3
16 10
17 19
18 0
19 1
20 11

About Jorge Cuadros

Jorge Cuadros is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 32 papers that have together received 5.3k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (25 papers), Retinal Diseases and Treatments (22 papers) and Glaucoma and retinal disorders (10 papers). The work is most often cited by research in Health Informatics (667 citations), Ophthalmology (2.0k citations) and Radiology, Nuclear Medicine and Imaging (3.5k citations). Jorge Cuadros has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Dale R. Webster, Lily Peng, Kim Ramasamy, Derek Wu, Subhashini Venugopalan, Martin C. Stumpe, Jessica L. Mega, Varun Gulshan, Arunachalam Narayanaswamy and Philip Nelson. Their work appears in journals such as JAMA, Investigative Ophthalmology & Visual Science and BMC Health Services Research.

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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