Deborah Broadbent

2.4k citations
28 papers · 1.6k · 1 hit paper · h-index 16

Impact in

Papers in

Deborah Broadbent

28 papers receiving 1.5k citations

Deborah Broadbent's Hit Papers

Convolutional Neural Networks for Diabetic Retinopathy 2016 · 590 citations
5900+3+6Years since publication100200300400500

Peers

Deborah Broadbent
Comparison fields: 5 of 80
  • Ophthalmology 1.0k
  • Health Information Management 184
  • Radiology, Nuclear Medicine and Imaging 847
  • Computer Vision and Pattern Recognition 325
  • Neurology 45
Replace Haslina Hamzah with:
Haslina Hamzah Singapore
Gilbert Lim Singapore
Chun Cai China
Anam Tariq Pakistan
Samantha Mann United Kingdom
Hong Kang United States
Kiyoung Kim South Korea
Xiaoxue Long China
Jie Zhong China
Bruno Laÿ United States
Deborah Broadbent relative to Haslina Hamzah Singapore Haslina Hamzah's profile →
Citations per field
00.5×5.7×
Haslina Hamzah · 1×
Citations per year

Countries citing papers authored by Deborah Broadbent

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Broadbent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Convolutional Neural Networks for Diabetic Retinopathy
Hit paper breakdown →
2016590
2 2003214
3 1995212
4 200376
5 201066
6 200259
7 199956
8 201352
9 201450
10 201731
11 202024
12 200821
13 201819
14 200215
15 201915
16 199815
17 200312
18 201510
19 20048
20 20216

About Deborah Broadbent

Deborah Broadbent is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Health Information Management, Endocrinology, Diabetes and Metabolism and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (19 papers), Retinal Imaging and Analysis (12 papers), Glaucoma and retinal disorders (5 papers), Retinal and Optic Conditions (4 papers), Artificial Intelligence in Healthcare (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Retinopathy of Prematurity Studies (1 paper). The work is most often cited by research in Ophthalmology (1.0k citations), Health Information Management (184 citations), Radiology, Nuclear Medicine and Imaging (847 citations), Computer Vision and Pattern Recognition (325 citations) and Neurology (45 citations). Deborah Broadbent has collaborated with scholars based in United Kingdom and Czechia. Frequent co-authors include Simon Harding, Jiten Vora, Yalin Zheng, Harry Pratt, Frans Coenen, Naveed Younis, C Neoh, Mary C. White, N. Younis and John A. Scott. Their work appears in journals such as Diabetic Medicine, Investigative Ophthalmology & Visual Science, Eye, Diabetologia and Diabetes Obesity and Metabolism.

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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