Harry Pratt
- Ophthalmology top 1%
- Retinal Diseases and Treatments 4
- Glaucoma and retinal disorders 2
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare 2
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- Retinal Imaging and Analysis 5
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- Digital Imaging for Blood Diseases 2
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- Dermatologic Treatments and Research 2
- Acne and Rosacea Treatments and Effects 2
- Skin Protection and Aging 2
- Co-authors
- Yalin ZhengFrans CoenenSimon HardingDeborah BroadbentBaidaa Al‐BanderBryan M. WilliamsWaleed Al‐NuaimyMajid A. Al-Taee
- Partner nations
- United KingdomChinaIraq
In The Last Decade
Harry Pratt
8 papers receiving 719 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Ophthalmology 442
- Health Information Management 179
- Radiology, Nuclear Medicine and Imaging 671
- Computer Vision and Pattern Recognition 377
- Neurology 45
Countries citing papers authored by Harry Pratt
This map shows the geographic impact of Harry Pratt'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 Harry Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harry Pratt more than expected).
Fields of papers citing papers by Harry Pratt
This network shows the impact of papers produced by Harry Pratt. 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 Harry Pratt. The network helps show where Harry Pratt may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Harry Pratt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 8 | |
| 2 | Feature visualisation of classification of diabetic retinopathy using a convolutional neural network | 2019 | 2 |
| 3 | Learning the features of diabetic retinopathy with convolutional neural networks | 2019 | 1 |
| 4 | 2018 | 139 | |
| 5 | 2018 | 1 | |
| 6 | 2017 | 12 | |
| 7 | 2017 | 21 | |
| 8 | Convolutional Neural Networks for Diabetic Retinopathybreakdown → | 2016 | 579 |
About Harry Pratt
Harry Pratt is a scholar working on Ophthalmology, Health Information Management, Dermatology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 763 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (4 papers), Artificial Intelligence in Healthcare (2 papers), Dermatologic Treatments and Research (2 papers), Acne and Rosacea Treatments and Effects (2 papers), Skin Protection and Aging (2 papers), Digital Imaging for Blood Diseases (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Ophthalmology (442 citations), Health Information Management (179 citations), Radiology, Nuclear Medicine and Imaging (671 citations), Computer Vision and Pattern Recognition (377 citations) and Neurology (45 citations). Harry Pratt has collaborated with scholars based in United Kingdom, China and Iraq. Frequent co-authors include Yalin Zheng, Frans Coenen, Simon Harding, Deborah Broadbent, Baidaa Al‐Bander, Bryan M. Williams, Waleed Al‐Nuaimy, Majid A. Al-Taee, Gabriela Czanner and Kevin J. Hamill. Their work appears in journals such as PLoS ONE, Symmetry, The FASEB Journal, Journal of Imaging and International Joint Conference on Artificial Intelligence.
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.