Yasmeen George
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- Digital Imaging for Blood Diseases 4
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- Retinal Imaging and Analysis 2
- Artificial Intelligence top 5%
- AI in cancer detection 4
- Biophysics top 10%
- Ophthalmology top 10%
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- Psoriasis: Treatment and Pathogenesis 6
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- melanin and skin pigmentation 3
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- Cutaneous Melanoma Detection and Management 3
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- Human Mobility and Location-Based Analysis 3
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- Complex Network Analysis Techniques 2
- Co-authors
- Hala H. ZayedMohamed RoushdyRahil GarnaviBassant M. ElbagouryM. AldeenShanika KarunasekeraAaron HarwoodKwan Hui Lim
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingArtificial Intelligence
In The Last Decade
Yasmeen George
19 papers receiving 368 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 156
- Radiology, Nuclear Medicine and Imaging 152
- Artificial Intelligence 208
- Biophysics 26
- Ophthalmology 37
Countries citing papers authored by Yasmeen George
This map shows the geographic impact of Yasmeen George'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 Yasmeen George with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasmeen George more than expected).
Fields of papers citing papers by Yasmeen George
This network shows the impact of papers produced by Yasmeen George. 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 Yasmeen George. The network helps show where Yasmeen George may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasmeen George, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2021 | 21 | |
| 6 | Understanding Deep Learning Decision for Glaucoma Detection using 3D Volumes | 2020 | 1 |
| 7 | 2020 | 43 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 21 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 21 | |
| 15 | 2016 | 13 | |
| 16 | 2015 | 16 | |
| 17 | 2013 | 144 | |
| 18 | Breast Fine Needle Tumor Classification using Neural Networks | 2012 | 10 |
| 19 | 2012 | 45 |
About Yasmeen George
Yasmeen George is a scholar working on Transportation, Biophysics and Immunology, having authored 19 papers that have together received 386 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (6 papers), Digital Imaging for Blood Diseases (4 papers), AI in cancer detection (4 papers), melanin and skin pigmentation (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Human Mobility and Location-Based Analysis (3 papers), Complex Network Analysis Techniques (2 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Artificial Intelligence (208 citations). Yasmeen George has collaborated with scholars based in Australia, Singapore and Egypt. Frequent co-authors include Hala H. Zayed, Mohamed Roushdy, Rahil Garnavi, Bassant M. Elbagoury, M. Aldeen, Shanika Karunasekera, Aaron Harwood, Kwan Hui Lim, Gadi Wollstein and Bhavna Antony. Their work appears in journals such as The Science of The Total Environment, ACM Computing Surveys and Medical Image Analysis.
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.