Daniel Milad

936 total citations · 1 hit paper
32 papers, 511 citations indexed

About

Daniel Milad is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Health Informatics. According to data from OpenAlex, Daniel Milad has authored 32 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Ophthalmology and 8 papers in Health Informatics. Recurrent topics in Daniel Milad's work include Retinal Imaging and Analysis (10 papers), Retinal and Optic Conditions (9 papers) and Artificial Intelligence in Healthcare and Education (8 papers). Daniel Milad is often cited by papers focused on Retinal Imaging and Analysis (10 papers), Retinal and Optic Conditions (9 papers) and Artificial Intelligence in Healthcare and Education (8 papers). Daniel Milad collaborates with scholars based in Canada, United States and United Kingdom. Daniel Milad's co-authors include Fares Antaki, Renaud Duval, Samir Touma, Jonathan El‐Khoury, Charles‐Édouard Giguère, Pearse A. Keane, Mark A. Chia, Mikhail Saltychev, Sam P. Most and Sami P. Moubayed and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Ophthalmology and British Journal of Ophthalmology.

In The Last Decade

Daniel Milad

26 papers receiving 500 citations

Hit Papers

Evaluating the Performance of ChatGPT in Ophthalmology 2023 2026 2024 2025 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Evaluating the Performance of ChatGPT in Ophthalmology
    2023 306 citations Fares Antaki, Samir Touma et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Milad Canada 8 339 272 99 95 62 32 511
Ryan S. Huang Canada 11 290 0.9× 231 0.8× 65 0.7× 117 1.2× 49 0.8× 73 460
Samir Touma Canada 6 326 1.0× 264 1.0× 96 1.0× 96 1.0× 59 1.0× 14 456
Andrew Mihalache Canada 11 334 1.0× 370 1.4× 216 2.2× 95 1.0× 57 0.9× 65 586
Jonathan El‐Khoury Canada 5 300 0.9× 216 0.8× 57 0.6× 87 0.9× 57 0.9× 13 391
Jocelyn Hui Lin Goh Singapore 6 203 0.6× 198 0.7× 77 0.8× 94 1.0× 20 0.3× 12 366
Zhi Wei Lim Singapore 8 173 0.5× 208 0.8× 118 1.2× 75 0.8× 14 0.2× 13 357
Samantha Min Er Yew Singapore 4 200 0.6× 136 0.5× 29 0.3× 93 1.0× 20 0.3× 8 299
Sebastian Brodehl Germany 5 417 1.2× 278 1.0× 11 0.1× 127 1.3× 47 0.8× 7 566
Takanobu Hirosawa Japan 9 309 0.9× 161 0.6× 8 0.1× 158 1.7× 90 1.5× 31 489
Philip Rothschild Australia 3 117 0.3× 86 0.3× 49 0.5× 29 0.3× 15 0.2× 6 207

Countries citing papers authored by Daniel Milad

Since Specialization
Citations

This map shows the geographic impact of Daniel Milad'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 Daniel Milad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Milad more than expected).

Fields of papers citing papers by Daniel Milad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Milad. 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 Daniel Milad. The network helps show where Daniel Milad may publish in the future.

Co-authorship network of co-authors of Daniel Milad

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Milad. A scholar is included among the top collaborators of Daniel Milad 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 Daniel Milad. Daniel Milad 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.
Milad, Daniel, Fares Antaki, Jonathan El‐Khoury, et al.. (2025). Code-Free Deep Learning Glaucoma Detection on Color Fundus Images. Ophthalmology Science. 5(4). 100721–100721. 1 indexed citations
2.
Mihalache, Andrew, Daniel Milad, Fares Antaki, et al.. (2025). Performance of DeepSeek-R1 in ophthalmology: an evaluation of clinical decision-making and cost-effectiveness. British Journal of Ophthalmology. 109(9). 976–981. 8 indexed citations
3.
4.
Milad, Daniel, et al.. (2025). Assessing the performance of Microsoft Copilot, GPT-4 and Google Gemini in ophthalmology. Canadian Journal of Ophthalmology. 60(4). e507–e514. 6 indexed citations
5.
Mihalache, Andrew, Daniel Milad, Marko M. Popovic, et al.. (2025). Performance of Artificial Intelligence-Based Models for Epiretinal Membrane Diagnosis: A Systematic Review and Meta-Analysis. American Journal of Ophthalmology. 277. 420–432.
6.
Mihalache, Andrew, Daniel Milad, Fares Antaki, et al.. (2025). DeepSeek-R1 vs OpenAI o1 for Ophthalmic Diagnoses and Management Plans. JAMA Ophthalmology. 143(10). 834–834. 1 indexed citations
7.
Milad, Daniel, et al.. (2024). The Role of Artificial Intelligence in Epiretinal Membrane Care: A Scoping Review. Ophthalmology Science. 5(4). 100689–100689. 4 indexed citations
8.
Antaki, Fares, et al.. (2024). Democratizing Vitreoretinal Surgery Training With a Portable and Affordable Virtual Reality Simulator in the Metaverse. Translational Vision Science & Technology. 13(4). 5–5. 8 indexed citations
9.
Milad, Daniel, Fares Antaki, Charles‐Édouard Giguère, et al.. (2024). Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases. British Journal of Ophthalmology. 108(10). 1398–1405. 31 indexed citations
10.
Mihalache, Andrew, Marko M. Popovic, Daniel Milad, et al.. (2024). Performance of ChatGPT in French language analysis of multimodal retinal cases. Journal Français d Ophtalmologie. 48(3). 104391–104391. 3 indexed citations
11.
Milad, Daniel, et al.. (2024). The role of artificial intelligence in macular hole management: A scoping review. Survey of Ophthalmology. 70(1). 12–27. 2 indexed citations
12.
Antaki, Fares, Samir Touma, Daniel Milad, Jonathan El‐Khoury, & Renaud Duval. (2023). Evaluating the Performance of ChatGPT in Ophthalmology. SHILAP Revista de lepidopterología. 3(4). 100324–100324. 306 indexed citations breakdown →
13.
Milad, Daniel, et al.. (2023). Paracentral Acute Middle Maculopathy in Migraines with Aura. Case Reports in Ophthalmology. 14(1). 591–595. 2 indexed citations
14.
Milad, Daniel, et al.. (2023). THE ROLE OF OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN DOME-SHAPED MACULOPATHY. Retinal Cases & Brief Reports. 19(2). 248–252.
15.
Antaki, Fares, Daniel Milad, Mark A. Chia, et al.. (2023). Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering. British Journal of Ophthalmology. 108(10). 1371–1378. 59 indexed citations
16.
Milad, Daniel, et al.. (2023). Review of clinical trials addressing the Boston Keratoprosthesis. Canadian Journal of Ophthalmology. 59(4). e309–e320. 4 indexed citations
17.
Antaki, Fares, et al.. (2020). Vitreoretinal Surgery in the Post-Lockdown Era: Making the Case for Combined Phacovitrectomy. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Yang, Weining, Daniel Milad, Nikolaus E. Wolter, Evan J. Propst, & Yvonne Chan. (2020). Systematic review of rigid and flexible esophagoscopy for pediatric esophageal foreign bodies. International Journal of Pediatric Otorhinolaryngology. 139. 110397–110397. 7 indexed citations
19.
Antaki, Fares, et al.. (2020). <p>Vitreoretinal Surgery in the Post-Lockdown Era: Making the Case for Combined Phacovitrectomy</p>. Clinical ophthalmology. Volume 14. 2307–2309. 9 indexed citations
20.
Milad, Daniel, et al.. (2020). An unusual cause of exertional dyspnea in a 55 years old man. Respiratory Medicine Case Reports. 29. 101004–101004. 2 indexed citations

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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