Hagar Khalid

1.1k total citations
37 papers, 688 citations indexed

About

Hagar Khalid is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Health Information Management. According to data from OpenAlex, Hagar Khalid has authored 37 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Ophthalmology and 3 papers in Health Information Management. Recurrent topics in Hagar Khalid's work include Retinal Imaging and Analysis (26 papers), Retinal Diseases and Treatments (22 papers) and Retinal and Optic Conditions (15 papers). Hagar Khalid is often cited by papers focused on Retinal Imaging and Analysis (26 papers), Retinal Diseases and Treatments (22 papers) and Retinal and Optic Conditions (15 papers). Hagar Khalid collaborates with scholars based in United Kingdom, Egypt and United States. Hagar Khalid's co-authors include Pearse A. Keane, Konstantinos Balaskas, Siegfried K. Wagner, Daniel Ferraz, Edward Korot, Livia Faes, Josef Huemer, Dun Jack Fu, Xiaoxuan Liu and Alastair K. Denniston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ophthalmology and American Journal of Ophthalmology.

In The Last Decade

Hagar Khalid

33 papers receiving 673 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hagar Khalid United Kingdom 12 528 518 48 47 41 37 688
Daniel Ferraz Brazil 11 450 0.9× 437 0.8× 29 0.6× 53 1.1× 38 0.9× 38 647
Weihong Yu China 14 473 0.9× 473 0.9× 32 0.7× 27 0.6× 47 1.1× 51 606
João Barbosa‐Breda Portugal 17 508 1.0× 601 1.2× 52 1.1× 20 0.4× 49 1.2× 59 728
Geunyoung Lee Singapore 13 361 0.7× 269 0.5× 35 0.7× 48 1.0× 23 0.6× 20 464
Ryan T. Yanagihara United States 11 339 0.6× 387 0.7× 34 0.7× 32 0.7× 22 0.5× 22 516
Zhaoan Su China 11 256 0.5× 256 0.5× 26 0.5× 26 0.6× 46 1.1× 21 412
Tien‐En Tan Singapore 16 501 0.9× 521 1.0× 32 0.7× 19 0.4× 25 0.6× 48 813
Minhaj Nur Alam United States 17 669 1.3× 599 1.2× 198 4.1× 26 0.6× 74 1.8× 42 817
Poemen P. Chan Hong Kong 17 655 1.2× 748 1.4× 72 1.5× 43 0.9× 31 0.8× 61 905
Daniel Ting Singapore 11 402 0.8× 408 0.8× 22 0.5× 17 0.4× 27 0.7× 20 545

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-authorship network of co-authors of Hagar Khalid

This figure shows the co-authorship network connecting the top 25 collaborators of Hagar Khalid. A scholar is included among the top collaborators of Hagar Khalid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hagar Khalid. Hagar Khalid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schwartz, Roy, Alasdair Warwick, Anthony P. Khawaja, et al.. (2025). Genetic Distinctions Between Reticular Pseudodrusen and Drusen: A Genome-Wide Association Study. American Journal of Ophthalmology. 274. 286–295. 1 indexed citations
2.
Limoli, Celeste, Siegfried K. Wagner, Praveen J. Patel, et al.. (2024). Paracentral Acute Middle Maculopathy and Risk of Cardiovascular Disease, Stroke, and Death: A Longitudinal Study. American Journal of Ophthalmology. 267. 286–292. 1 indexed citations
3.
Limoli, Celeste, Siegfried K. Wagner, Daniel Ferraz, et al.. (2023). Exploring Patient Demographics and Presence of Retinal Vascular Disease in Paracentral Acute Middle Maculopathy. American Journal of Ophthalmology. 260. 182–189. 6 indexed citations
4.
Khalid, Hagar, et al.. (2022). The utility of wide-field optical coherence tomography angiography in diagnosis and monitoring of proliferative diabetic retinopathy in pregnancy. American Journal of Ophthalmology Case Reports. 25. 101280–101280. 2 indexed citations
5.
Huemer, Josef, Hagar Khalid, Daniel Ferraz, et al.. (2021). Re-evaluating diabetic papillopathy using optical coherence tomography and inner retinal sublayer analysis. Eye. 36(7). 1476–1485. 7 indexed citations
6.
Korot, Edward, Siegfried K. Wagner, Robbert Struyven, et al.. (2021). Investigating the impact of saliency maps on clinician’s confidence in model predictions. Investigative Ophthalmology & Visual Science. 62(8). 2297–2297. 1 indexed citations
7.
Korot, Edward, Daniel Ferraz, Siegfried K. Wagner, et al.. (2021). Code-free deep learning for multi-modality medical image classification. Nature Machine Intelligence. 3(4). 288–298. 115 indexed citations
8.
Moraes, Gabriella, Dun Jack Fu, Hagar Khalid, et al.. (2020). Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning. Ophthalmology. 128(5). 693–705. 94 indexed citations
9.
Balaskas, Konstantinos, Pearse A. Keane, Siegfried K. Wagner, et al.. (2020). Automated classification of Retinopathy of Prematurity RetCam images using the Apple CreateML platform: gradeable versus ungradeable image classification. Investigative Ophthalmology & Visual Science. 61(7). 2026–2026. 1 indexed citations
10.
Khalid, Hagar, Roy Schwartz, Luke Nicholson, et al.. (2020). Widefield optical coherence tomography angiography for early detection and objective evaluation of proliferative diabetic retinopathy. British Journal of Ophthalmology. 105(1). 118–123. 49 indexed citations
11.
Hagag, Ahmed M., et al.. (2020). One-year outcome of intravitreal Bevacizumab on eyes with choroidal neovascularization secondary to central serous chorioretinopathy. Investigative Ophthalmology & Visual Science. 61(7). 1072–1072.
12.
Zhang, Gongyu, Edward Korot, Reena Chopra, et al.. (2020). Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning. Investigative Ophthalmology & Visual Science. 61(7). 1628–1628. 1 indexed citations
13.
Wagner, Siegfried K., Dun Jack Fu, Livia Faes, et al.. (2020). Insights into Systemic Disease through Retinal Imaging-Based Oculomics. Translational Vision Science & Technology. 9(2). 6–6. 149 indexed citations
14.
Hagag, Ahmed M., Shruti Chandra, Hagar Khalid, et al.. (2020). Multimodal Imaging in the Management of Choroidal Neovascularization Secondary to Central Serous Chorioretinopathy. Journal of Clinical Medicine. 9(6). 1934–1934. 12 indexed citations
15.
Khalid, Hagar, et al.. (2020). Optical Coherence Tomography Angiography for Evaluation of Foveal Neovascularization, a Case Series. Investigative Ophthalmology & Visual Science. 61(7). 4447–4447.
16.
Chandra, Shruti, Deepthy Menon, Hagar Khalid, et al.. (2020). Ten-year outcomes of antivascular endothelial growth factor therapy in neovascular age-related macular degeneration. Eye. 34(10). 1888–1896. 64 indexed citations
17.
Korot, Edward, Siegfried K. Wagner, Livia Faes, et al.. (2020). AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding. Investigative Ophthalmology & Visual Science. 61(7). 2025–2025. 2 indexed citations
18.
Huemer, Josef, Hagar Khalid, Siegfried K. Wagner, et al.. (2020). Phenotyping of retinal neovascularization in ischemic retinal vein occlusion using wide field OCT angiography. Eye. 35(10). 2812–2819. 22 indexed citations
19.
Balaskas, Konstantinos, et al.. (2019). Machine Learning for the automated interpretation of Optical Coherence Tomography Angiography for Age-related Macular Degeneration. Investigative Ophthalmology & Visual Science. 60(9). 3095–3095. 1 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Daniel Ferraz Breakdown of academic impact, for papers by Weihong Yu Breakdown of academic impact, for papers by João Barbosa‐Breda Breakdown of academic impact, for papers by Geunyoung Lee Breakdown of academic impact, for papers by Ryan T. Yanagihara Breakdown of academic impact, for papers by Zhaoan Su Breakdown of academic impact, for papers by Tien‐En Tan Breakdown of academic impact, for papers by Minhaj Nur Alam Breakdown of academic impact, for papers by Poemen P. Chan Breakdown of academic impact, for papers by Daniel Ting
Rankless by CCL
2026