Daniel Milad

1.0k citations
33 papers · 636 · h-index 9

Impact in

Papers in

Daniel Milad

30 papers receiving 620 citations

Peers

Daniel Milad
Comparison fields: 5 of 78
  • Health Informatics 303
  • Family Practice 25
  • Radiology, Nuclear Medicine and Imaging 156
  • Ophthalmology 60
  • Artificial Intelligence 75
Replace Samir Touma with:
Samir Touma Canada
Jonathan El‐Khoury Canada
Hanzhou Li United States
Sebastian Brodehl Germany
Rohun Gupta United States
Ashik Amlani United Kingdom
Luis Filipe Nakayama Brazil
Keerthini Muthuswamy United Kingdom
Sujay Nagaraj Canada
Rohit Srinivasan United Kingdom
Daniel Milad relative to Samir Touma Canada Samir Touma's profile →
Citations per field
00.5×2×4×6×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023363
2 202367
3 202441
4 201919
5 202513
6 202412
7 202512
8 201910
9 20209
10 20198
11 20237
12 20207
13 20246
14 20246
15 20226
16 20246
17 20255
18 20245
19 20255
20 20255

About Daniel Milad

Daniel Milad is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Health Informatics, Pulmonary and Respiratory Medicine and Family Practice, having authored 33 papers that have together received 636 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), Ocular Diseases and Behçet’s Syndrome (2 papers), Intraocular Surgery and Lenses (2 papers), Vasculitis and related conditions (2 papers) and Corneal Surgery and Treatments (2 papers). The work is most often cited by research in Health Informatics (303 citations), Family Practice (25 citations), Radiology, Nuclear Medicine and Imaging (156 citations), Ophthalmology (60 citations) and Artificial Intelligence (75 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 Andrew Keane, Mark A. Chia, Mikhail Saltychev, Sami Pierre Moubayed 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 Glaucoma and Journal of Personalized 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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