Hagar Khalid
Impact in
- Ophthalmology top 1%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Retinal Imaging and Analysis 26
- COVID-19 diagnosis using AI 2
- Retinopathy of Prematurity Studies 2
-
- Retinal Diseases and Treatments 22
- Retinal and Optic Conditions 15
- Glaucoma and retinal disorders 9
- Co-authors
- Pearse A. Keane (26 shared papers)Konstantinos Balaskas (14 shared papers)Siegfried K. Wagner (14 shared papers)Livia Faes (9 shared papers)Edward Korot (11 shared papers)Daniel Ferraz (9 shared papers)Josef Huemer (11 shared papers)Dun Jack Fu (6 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (7 papers)British Journal of Ophthalmology (4 papers)Eye (3 papers)American Journal of Ophthalmology (3 papers)JAMA Ophthalmology (2 papers)
- Partner nations
- United KingdomEgyptUnited States
In The Last Decade
Hagar Khalid
33 papers receiving 673 citations
Peers
Comparison fields: 5 of 83
- Ophthalmology 518
- Health Informatics 31
- Radiology, Nuclear Medicine and Imaging 528
- Health Information Management 13
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Hagar Khalid
This map shows the geographic impact of Hagar Khalid'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 Hagar Khalid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hagar Khalid more than expected).
Fields of papers citing papers by Hagar Khalid
This network shows the impact of papers produced by Hagar Khalid. 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 Hagar Khalid. The network helps show where Hagar Khalid may publish in the future.
Co-authors
The 25 scholars most cited alongside Hagar Khalid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 149 | |
| 2 | 2021 | 115 | |
| 3 | 2020 | 94 | |
| 4 | 2020 | 64 | |
| 5 | 2020 | 49 | |
| 6 | 2019 | 32 | |
| 7 | 2021 | 29 | |
| 8 | 2022 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2017 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2019 | 4 |
About Hagar Khalid
Hagar Khalid is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Information Management, Artificial Intelligence and Molecular Biology, having authored 37 papers that have together received 688 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (26 papers), Retinal Diseases and Treatments (22 papers), Retinal and Optic Conditions (15 papers), Glaucoma and retinal disorders (9 papers), Artificial Intelligence in Healthcare (3 papers), COVID-19 diagnosis using AI (2 papers), Retinopathy of Prematurity Studies (2 papers) and Cerebral Venous Sinus Thrombosis (2 papers). The work is most often cited by research in Ophthalmology (518 citations), Health Informatics (31 citations), Radiology, Nuclear Medicine and Imaging (528 citations), Health Information Management (13 citations) and Computer Vision and Pattern Recognition (41 citations). Hagar Khalid has collaborated with scholars based in United Kingdom, Egypt and United States. Frequent co-authors include Pearse A. Keane, Konstantinos Balaskas, Siegfried K. Wagner, Livia Faes, Edward Korot, Daniel Ferraz, Josef Huemer, Dun Jack Fu, Xiaoxuan Liu and Alastair K. Denniston. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology, Eye, American Journal of Ophthalmology and JAMA Ophthalmology.
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.