Fábio Scarpa
About
In The Last Decade
Fábio Scarpa
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Radiology, Nuclear Medicine and Imaging 792
- Ophthalmology 362
- Cognitive Neuroscience 324
- Biomedical Engineering 293
- Public Health, Environmental and Occupational Health 223
Countries citing papers authored by Fábio Scarpa
This map shows the geographic impact of Fábio Scarpa'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 Fábio Scarpa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio Scarpa more than expected).
Fields of papers citing papers by Fábio Scarpa
This network shows the impact of papers produced by Fábio Scarpa. 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 Fábio Scarpa. The network helps show where Fábio Scarpa may publish in the future.
Co-authorship network of co-authors of Fábio Scarpa
This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Scarpa. A scholar is included among the top collaborators of Fábio Scarpa 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 Fábio Scarpa. Fábio Scarpa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | Deep learning for diabetic retinopathy detection and classification based on fundus images: A review breakdown → | 176 |
| 10 | 33 | |
| 11 | Healthy vs pathological classification of corneal nerves images using deep learning | 1 |
| 12 | Automatic segmentation of corneal endothelial cells by a genetic algorithm | 1 |
| 13 | 68 | |
| 14 | Motion artifacts in functional near-infrared spectroscopy: A comparison of motion correction techniques applied to real cognitive data breakdown → | 415 |
| 15 | 45 | |
| 16 | 68 | |
| 17 | 15 | |
| 18 | 23 | |
| 19 | 17 | |
| 20 | 79 |
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.