Gladston Moreira
About
In The Last Decade
Gladston Moreira
37 papers receiving 593 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 211
- Cardiology and Cardiovascular Medicine 208
- Radiology, Nuclear Medicine and Imaging 194
- Cognitive Neuroscience 192
- Biomedical Engineering 100
Countries citing papers authored by Gladston Moreira
This map shows the geographic impact of Gladston Moreira'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 Gladston Moreira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gladston Moreira more than expected).
Fields of papers citing papers by Gladston Moreira
This network shows the impact of papers produced by Gladston Moreira. 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 Gladston Moreira. The network helps show where Gladston Moreira may publish in the future.
Co-authorship network of co-authors of Gladston Moreira
This figure shows the co-authorship network connecting the top 25 collaborators of Gladston Moreira. A scholar is included among the top collaborators of Gladston Moreira 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 Gladston Moreira. Gladston Moreira 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 38 | |
| 9 | 2 | |
| 10 | Towards an Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images | 16 |
| 11 | 171 | |
| 12 | 25 | |
| 13 | 3 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | 94 | |
| 17 | 21 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 22 |
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.