Daniel Ferraz

1.1k citations
38 papers · 647 indexed · h-index 11

Impact in

    • Retinal Diseases and Treatments
    • Retinal and Optic Conditions
    • Glaucoma and retinal disorders
    • Artificial Intelligence in Healthcare and Education

Papers in

Daniel Ferraz

34 papers receiving 633 citations

Peers

Daniel Ferraz
Comparison fields: 5 of 86
  • Ophthalmology 437
  • Health Informatics 40
  • Radiology, Nuclear Medicine and Imaging 450
  • Health Information Management 30
  • Neurology 36
Replace T. Y. Alvin Liu with:
T. Y. Alvin Liu United States
Weihong Yu China
Maximilian W. M. Wintergerst Germany
Tai-Chi Lin Taiwan
Qianzhong Cao China
Naama Hammel United States
Rahul Kapoor United States
April Y. Maa United States
Jo‐Hsuan Wu United States
Daniel Ferraz relative to T. Y. Alvin Liu United States T. Y. Alvin Liu's profile →
Citations per field
00.5×9.5×
T. Y. Alvin Liu · 1×
Citations per year

Countries citing papers authored by Daniel Ferraz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ferraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020149
2 2021115
3 202094
4 202147
5 201435
6 201434
7 201330
8 201322
9 201414
10 201413
11 202311
12 202410
13 20179
14 20217
15 20237
16 20227
17 20236
18 20195
19 20105
20 20214

About Daniel Ferraz

Daniel Ferraz is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Health Information Management and Health Informatics, having authored 38 papers that have together received 647 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (23 papers), Retinal Diseases and Treatments (21 papers), Retinal and Optic Conditions (17 papers), Ocular Diseases and Behçet’s Syndrome (5 papers), Glaucoma and retinal disorders (4 papers), Artificial Intelligence in Healthcare (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Retinal Development and Disorders (3 papers). The work is most often cited by research in Ophthalmology (437 citations), Health Informatics (40 citations), Radiology, Nuclear Medicine and Imaging (450 citations), Health Information Management (30 citations) and Neurology (36 citations). Daniel Ferraz has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Pearse A. Keane, Hagar Khalid, Edward Korot, Konstantinos Balaskas, Livia Faes, Siegfried K. Wagner, Xiaoxuan Liu, Alastair K. Denniston, Dun Jack Fu and Christopher Kelly. Their work appears in journals such as Investigative Ophthalmology & Visual Science, International Journal of Retina and Vitreous, Eye, Journal of Ophthalmic Inflammation and Infection and Journal of Diabetes Science and Technology.

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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