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Researcher · Kingston University · United Kingdom

Sarah Ann Barman

Sarah Ann Barman publishes mostly in Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as Retinal Imaging and Analysis, Retinal Diseases and Treatments and Glaucoma and retinal disorders.

ORCID 0000-0001-5302-0169 OpenAlex
World rank
#101,064
of 7,710,434 ranked researchers
Rank in United Kingdom
#8,892
of 367,258
Works
172
Citations
11k
Citations per work
61.1
h-index
45
i10-index 102Top 2.3% in Ophthalmology
Sarah Ann Barman

What does Sarah Ann Barman research?

Sarah Ann Barman's work is mostly in Medicine (60%), Computer Science (14%), Agricultural and Biological Sciences (2%).

Health Sciences: 103 works · 59.8% of their workMedicine: 103 works · 59.8% of their workOphthalmology: 55 works · 31.9% of their workRadiology, Nuclear Medicine and Imaging: 44 works · 25.3% of their workEpidemiology: 4 works · 2.6% of their workEverything else: 42 works · 24.3% of their workPhysical Sciences: 23 works · 13.5% of their workComputer Science: 23 works · 13.5% of their workComputer Vision and Pattern Recognition: 16 works · 9.4% of their workArtificial Intelligence: 7 works · 4.1% of their workLife Sciences: 4 works · 2.4% of their workAgricultural and Biological Sciences: 4 works · 2.4% of their workPlant Science: 4 works · 2.4% of their workTHEIR WORKSarah Ann Barman172works
Life Sciences2%Physical Sciences14%Health Sciences60%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine10359.8%
  2. Everything else4224.3%
    1. Computer Science2313.5%
    1. Agricultural and Biological Sciences42.4%
  1. 1Ophthalmology32% of their works
  2. 2Radiology, Nuclear Medicine and Imaging25% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Artificial Intelligence4% of their works
  5. 5Epidemiology3% of their works
  6. 6Plant Science2% of their works

Research topics

Which keywords describe Sarah Ann Barman's research?

The keywords of their largest research topics: Diabetic Retinopathy, Macular Degeneration, Glaucoma, Optic Nerve, Deep Learning, Retinal Disease, Vessel Segmentation and Optical Coherence Tomography.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 24 words, with their numbers
  1. Diabetic Retinopathy1552 topics
  2. Macular Degeneration1552 topics
  3. Glaucoma1402 topics
  4. Optic Nerve1402 topics
  5. Deep Learning1032 topics
  6. Retinal Disease921 topic
  7. Vessel Segmentation921 topic
  8. Optical Coherence Tomography762 topics
  9. Vascular Endothelial Growth Factor732 topics
  10. Oxidative Stress631 topic
  11. Retinal Pigment Epithelium631 topic
  12. Intraocular Pressure481 topic
  13. Retinal Ganglion Cells481 topic
  14. Medical Image Analysis382 topics
  15. COVID-19281 topic
  16. Ocular Findings281 topic
  17. Leukemia Classification271 topic
  18. Malaria Parasite Detection271 topic
  19. Myopia121 topic
  20. Visual Impairment121 topic
  21. Graph Cuts111 topic
  22. Image Segmentation111 topic
  23. Prematurity101 topic
  24. Retinopathy101 topic

Where does Sarah Ann Barman work?

Sarah Ann Barman's main affiliation in the publication record is Kingston University, United Kingdom.

How many publications and citations does Sarah Ann Barman have?

OpenAlex counts 172 works and 10,504 citations for Sarah Ann Barman, an h-index of 45, ranking #101,064 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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