Bruno Fernandes
About
In The Last Decade
Bruno Fernandes
76 papers receiving 655 citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 312
- Artificial Intelligence 176
- Biomedical Engineering 103
- Human-Computer Interaction 65
- Radiology, Nuclear Medicine and Imaging 58
Countries citing papers authored by Bruno Fernandes
This map shows the geographic impact of Bruno Fernandes'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 Bruno Fernandes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Fernandes more than expected).
Fields of papers citing papers by Bruno Fernandes
This network shows the impact of papers produced by Bruno Fernandes. 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 Bruno Fernandes. The network helps show where Bruno Fernandes may publish in the future.
Co-authorship network of co-authors of Bruno Fernandes
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Fernandes. A scholar is included among the top collaborators of Bruno Fernandes 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 Bruno Fernandes. Bruno Fernandes 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 | 7 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 25 | |
| 15 | 1 | |
| 16 | Human feedback in continuous actor-critic reinforcement learning. | 7 |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 29 | |
| 20 | 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.