Hagar Khalid

1.2k citations
39 papers · 752 · h-index 12

Impact in

Papers in

Hagar Khalid

36 papers receiving 738 citations

Peers

Hagar Khalid
Comparison fields: 5 of 73
  • Ophthalmology 424
  • Radiology, Nuclear Medicine and Imaging 398
  • Health Informatics 24
  • Health Information Management 11
  • Computer Vision and Pattern Recognition 32
Replace Daniel Ferraz with:
Daniel Ferraz Brazil
Weihong Yu China
Wolf‐Dieter Vogl Austria
Dominika Podkowinski Austria
Ana-Maria Philip Austria
Fangyao Tang Hong Kong
Ahmed M. Hagag United Kingdom
Yuri Fujino Japan
Zaid Mammo Canada
Hagar Khalid relative to Daniel Ferraz Brazil Daniel Ferraz's profile →
Citations per field
00.5×1.7×
Daniel Ferraz · 1×
Citations per year

Countries citing papers authored by Hagar Khalid

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hagar Khalid Line = papers co-authored together Hagar Khalid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020171
2 2021130
3 2020101
4 202066
5 202053
6 201933
7 202129
8 202227
9 202022
10 201714
11 202113
12 202012
13 202011
14 20207
15 20237
16 20217
17 20177
18 20236
19 20245
20 20205

About Hagar Khalid

Hagar Khalid is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 752 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (16 papers), Retinal Diseases and Treatments (16 papers), Retinal and Optic Conditions (6 papers), Glaucoma and retinal disorders (4 papers), Artificial Intelligence in Healthcare (2 papers), Digital Imaging for Blood Diseases (2 papers), Retinal and Macular Surgery (2 papers) and Ocular Oncology and Treatments (2 papers). The work is most often cited by research in Ophthalmology (424 citations), Radiology, Nuclear Medicine and Imaging (398 citations), Health Informatics (24 citations), Health Information Management (11 citations) and Computer Vision and Pattern Recognition (32 citations). Hagar Khalid has collaborated with scholars based in United Kingdom, Egypt and United States. Frequent co-authors include Pearse A. Keane, Siegfried K. Wagner, Daniel Ferraz, Edward Korot, Livia Faes, Konstantinos Balaskas, Xiaoxuan Liu, Dun Jack Fu, Josef Huemer and Alastair K. Denniston. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology, American Journal of Ophthalmology, Eye and Retina.

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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