Science Explorer Interactive view Map

Retinal Imaging and Analysis

Retinal Imaging and Analysis is a research topic within Radiology, Nuclear Medicine and Imaging. Science Explorer counts 36k research works in it since 1950. 16.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and validation of deep learning algorithms for the detection and management of retinal diseases, particularly diabetic retinopathy. It includes topics such as vessel segmentation, optic nerve localization, cardiovascular risk prediction, macular degeneration, and glaucoma detection.

  • Retinal Disease
  • Diabetic Retinopathy
  • Deep Learning
  • Vessel Segmentation
  • Ophthalmology
  • Image Analysis
  • Optic Nerve
  • Cardiovascular Risk
  • Macular Degeneration
  • Glaucoma
Research works
36k
fractional, since 1950
In the world top 10%
6.2k
per year above
Top-10% rate
16.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+63%
the tick is no change

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Retinal Imaging and Analysis research?

By volume, India and China publish the most (2k and 1.9k works in 2022–2025).

By volume, 2022–2025

  1. 1 India 2k works
  2. 2 China 1.9k works
  3. 3 United States 1.3k works
  4. 4 United Kingdom 337 works
  5. 5 Indonesia 270 works
  6. 6 South Korea 242 works
  7. 7 Japan 224 works
  8. 8 Türkiye 220 works
  9. 9 Germany 208 works
  10. 10 Spain 200 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

India: 29.0%China: 27.2%United States: 18.8%United Kingdom: 5.0%6 others listed: 20.0%29%largest
India1,976 · 29.0%China1,850 · 27.2%United States1,279 · 18.8%United Kingdom337 · 5.0%6 others listed1,364 · 20.0%

Shares of the rows listed above, not of the whole node.

Which institutions lead Retinal Imaging and Analysis research?

By volume in 2022–2025, SRM Institute of Science and Technology publishes the most Retinal Imaging and Analysis research, followed by Saveetha University and Vellore Institute of Technology University.

Who are the leading researchers in Retinal Imaging and Analysis?

The most-cited researchers publishing on Retinal Imaging and Analysis include Jost B. Jonas and Narayanaswamy Venketasubramanian.

  1. 1 Jost B. Jonas Germany 7.7k citations
  2. 2 Narayanaswamy Venketasubramanian Singapore 5.4k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Retinal Imaging and Analysis research done?

The largest centres of Retinal Imaging and Analysis research in 2022–2025 are Chennai (India), Beijing (China), Shanghai (China) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Madurai.

Largest cities, 2022–2025

  1. 1 Chennai India 313 works
  2. 2 Beijing China 300 works
  3. 3 Shanghai China 164 works
  4. 4 London United Kingdom 140 works
  5. 5 Seoul South Korea 123 works
  6. 6 Guangzhou China 118 works
  7. 7 Singapore Singapore 109 works
  8. 8 Coimbatore India 107 works
  9. 9 Bengaluru India 97 works
  10. 10 Chengdu China 82 works

Where it is the local speciality

  1. MaduraiIN · 24.5 works9.7×
← less than its size predictsmore →

Location quotient: how much more of its research is in Retinal Imaging and Analysis than the world average.

See Retinal Imaging and Analysis on the map

Where is the best place to study Retinal Imaging and Analysis?

Among universities, judged by research, Duke-NUS Medical School, Medical University of Vienna and Chitkara University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%60%mean 28.24%fractional works in this node (log) →share in the world top 10% →Duke-NUS Medical School: 12, 40.4%Medical University of Vienna: 29, 48.5%Chitkara University: 48, 27.0%Vellore Institute of Technology University: 56, 25.7%Amrita Vishwa Vidyapeetham: 44, 14.6%Hindustan Institute of Technology and Science: 13, 26.9%Chinese University of Hong Kong: 22, 36.3%Vita-Salute San Raffaele University: 10, 32.9%SRM Institute of Science and Technology: 75, 11.2%Saveetha University: 61, 18.9%Medical University o…Duke-NUS Medical Sch…Chitkara UniversityVellore Institute of…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Duke-NUS Medical SchoolSingapore 73.140.4%16.9×12 +346.6%
2 Medical University of ViennaAustria 72.848.5%10.1×29 +7.4%
3 Chitkara UniversityIndia 64.527.0%12.8×48
4 Vellore Institute of Technology UniversityIndia 62.725.7%5.9×56 +456.3%
5 Amrita Vishwa VidyapeethamIndia 61.614.6%8.7×44 +497.3%
6 Hindustan Institute of Technology and ScienceIndia 59.826.9%9.6×13 +200.0%
7 Chinese University of Hong KongHong Kong 59.536.3%3.2×22 +197.6%
8 Vita-Salute San Raffaele UniversityItaly 59.532.9%7.9×10 +254.5%
9 SRM Institute of Science and TechnologyIndia 56.811.2%9.2×75
10 Saveetha UniversityIndia 53.818.9%6.6×61

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Retinal Imaging and Analysis research growing?

Output in 2018–2022 was 63% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Retinal Imaging and Analysis.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.