Daniel Milad

998 citations
33 papers · 561 · h-index 8

Impact in

Papers in

Daniel Milad

28 papers receiving 551 citations

Peers

Daniel Milad
Comparison fields: 5 of 72
  • Health Informatics 282
  • Family Practice 24
  • Radiology, Nuclear Medicine and Imaging 142
  • Ophthalmology 50
  • Artificial Intelligence 68
Replace Ryan S. Huang with:
Ryan S. Huang Canada
Samir Touma Canada
Jonathan El‐Khoury Canada
Sebastian Brodehl Germany
Luis Filipe Nakayama Brazil
Jakub Olczak Sweden
Ashik Amlani United Kingdom
Rohun Gupta United States
Takanobu Hirosawa Japan
Keerthini Muthuswamy United Kingdom
Daniel Milad relative to Ryan S. Huang Canada Ryan S. Huang's profile →
Citations per field
00.5×5.2×
Ryan S. Huang · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023323
2 202362
3 202439
4 201917
5 202512
6 202410
7 201910
8 20209
9 20237
10 20257
11 20207
12 20197
13 20226
14 20246
15 20245
16 20254
17 20244
18 20234
19 20203
20 20253

About Daniel Milad

Daniel Milad is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Informatics, Surgery and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 561 indexed citations. Recurring topics across this work include Retinal and Optic Conditions (7 papers), Retinal Imaging and Analysis (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Retinal and Macular Surgery (3 papers), Corneal Surgery and Treatments (2 papers), Vasculitis and related conditions (2 papers), Ocular Diseases and Behçet’s Syndrome (2 papers) and Intraocular Surgery and Lenses (2 papers). The work is most often cited by research in Health Informatics (282 citations), Family Practice (24 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Ophthalmology (50 citations) and Artificial Intelligence (68 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, Sami P. Moubayed, Mikhail Saltychev and Sam P. Most. 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 International Journal of Pediatric Otorhinolaryngology.

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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