Livia Faes

7.3k total citations · 2 hit papers
66 papers, 2.7k citations indexed

About

Livia Faes is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Health Informatics. According to data from OpenAlex, Livia Faes has authored 66 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 48 papers in Ophthalmology and 7 papers in Health Informatics. Recurrent topics in Livia Faes's work include Retinal Imaging and Analysis (42 papers), Retinal Diseases and Treatments (35 papers) and Retinal and Optic Conditions (30 papers). Livia Faes is often cited by papers focused on Retinal Imaging and Analysis (42 papers), Retinal Diseases and Treatments (35 papers) and Retinal and Optic Conditions (30 papers). Livia Faes collaborates with scholars based in United Kingdom, Switzerland and United States. Livia Faes's co-authors include Pearse A. Keane, Siegfried K. Wagner, Lucas M. Bachmann, Konstantinos Balaskas, Alastair K. Denniston, Xiaoxuan Liu, Dun Jack Fu, Martin Schmid, Gabriella Moraes and Christoph Kern and has published in prestigious journals such as PLoS ONE, Scientific Reports and Ophthalmology.

In The Last Decade

Livia Faes

60 papers receiving 2.6k citations

Hit Papers

A comparison of deep learning performance against health-... 2019 2026 2021 2023 2019 2020 250 500 750 1000

Peers

Livia Faes
Comparison fields: 5 of 152
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Ophthalmology 1.0k
  • Health Informatics 651
  • Artificial Intelligence 579
  • Biomedical Engineering 222
Replace Siegfried K. Wagner with:
Siegfried K. Wagner United Kingdom
Dun Jack Fu United Kingdom
Konstantinos Balaskas United Kingdom
Christoph Kern Germany
Gabriella Moraes United Kingdom
Avinash V. Varadarajan United States
T. Madams United States
Katy Blumer United States
Derek Wu Canada
Arunachalam Narayanaswamy United States
Siegfried K. Wagner United Kingdom View profile →
Citations per field, relative to Livia Faes
Livia Faes · 1×
Citations per year, relative to Livia Faes
Livia Faes · 1×

Countries citing papers authored by Livia Faes

Since Specialization
Citations

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

Fields of papers citing papers by Livia Faes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Livia Faes

This figure shows the co-authorship network connecting the top 25 collaborators of Livia Faes. A scholar is included among the top collaborators of Livia Faes 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 Livia Faes. Livia Faes 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
# Work Indexed citations
1 0
2 3
3 3
4 7
5 33
6 115
7 13
8 94
9 5
10
Automated classification of Retinopathy of Prematurity RetCam images using the Apple CreateML platform: gradeable versus ungradeable image classification
1
11
Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning
1
12 12
13 22
14
CONSORT-AI and SPIRIT-AI: New Reporting Guidelines for Clinical Trials and Trial Protocols for Artificial Intelligence Interventions
3
15 149
16 7
17 23
18 40
19 27
20
Diagnostic accuracy and interobserver variability of macular disease evaluation using optical coherence tomography
2

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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