Daniel Milad

936 citations
32 papers · 511 · 1 hit paper · h-index 8

Impact in

Papers in

Daniel Milad

26 papers receiving 500 citations

Daniel Milad's Hit Papers

Evaluating the Performance of ChatGPT in Ophthalmology 2023 · 306 citations
3060+1+2Years since publication100200300

Peers

Daniel Milad
Comparison fields: 5 of 83
  • Health Informatics 339
  • Family Practice 62
  • Radiology, Nuclear Medicine and Imaging 272
  • Ophthalmology 99
  • Health Information Management 17
Replace Samir Touma with:
Samir Touma Canada
Jonathan El‐Khoury Canada
Andrew Mihalache Canada
Ryan S. Huang Canada
Jocelyn Hui Lin Goh Singapore
Zhi Wei Lim Singapore
Samantha Min Er Yew Singapore
Satyam Singh India
Takanobu Hirosawa Japan
Hanzhou Li United States
Daniel Milad relative to Samir Touma Canada Samir Touma's profile →
Citations per field
00.5×
Samir Touma · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Milad, 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 Daniel Milad Line = papers co-authored together Daniel Milad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluating the Performance of ChatGPT in Ophthalmology
Hit paper breakdown →
2023306
2 202359
3 202431
4 201916
5 201910
6 20209
7 20258
8 20248
9 20207
10 20197
11 20256
12 20246
13 20226
14 20236
15 20244
16 20234
17 20243
18 20203
19 20232
20 20202

About Daniel Milad

Daniel Milad is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Informatics, Surgery and Family Practice, having authored 32 papers that have together received 511 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (10 papers), Retinal and Optic Conditions (9 papers), Artificial Intelligence in Healthcare and Education (8 papers), Retinal and Macular Surgery (6 papers), Glaucoma and retinal disorders (4 papers), Clinical Reasoning and Diagnostic Skills (4 papers), Ocular Diseases and Behçet’s Syndrome (3 papers) and Intraocular Surgery and Lenses (3 papers). The work is most often cited by research in Health Informatics (339 citations), Family Practice (62 citations), Radiology, Nuclear Medicine and Imaging (272 citations), Ophthalmology (99 citations) and Health Information Management (17 citations). Daniel Milad has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Fares Antaki, Renaud Duval, Samir Touma, Jonathan El‐Khoury, Charles‐Édouard Giguère, Pearse A. Keane, Mark A. Chia, Sam P. Most, Mikhail Saltychev and Sami P. Moubayed. Their work appears in journals such as British Journal of Ophthalmology, Canadian Journal of Ophthalmology, Journal of Otolaryngology - Head and Neck Surgery, Journal of Personalized Medicine and Journal of Clinical Medicine.

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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