N. Barreira
About
In The Last Decade
N. Barreira
48 papers receiving 500 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 359
- Ophthalmology 332
- Computer Vision and Pattern Recognition 135
- Public Health, Environmental and Occupational Health 103
- Biomedical Engineering 54
Countries citing papers authored by N. Barreira
This map shows the geographic impact of N. Barreira'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 N. Barreira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Barreira more than expected).
Fields of papers citing papers by N. Barreira
This network shows the impact of papers produced by N. Barreira. 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 N. Barreira. The network helps show where N. Barreira may publish in the future.
Co-authorship network of co-authors of N. Barreira
This figure shows the co-authorship network connecting the top 25 collaborators of N. Barreira. A scholar is included among the top collaborators of N. Barreira 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 N. Barreira. N. Barreira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | On the analysis of feature selection techniques in a conjunctival hyperemia grading framework. | 2 |
| 7 | 11 | |
| 8 | 19 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 18 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 39 | |
| 19 | 64 | |
| 20 | Automated three stage red lesions detection in digital color fundus images | 9 |
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.