Bruno Castro da Silva
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Safety Research top 10%
- Computer Vision and Pattern Recognition
- Transportation
- Co-authors
- Andrew G. BartoYuriy BrunPhilip S. ThomasEmma BrunskillStephen GiguereAlexandru TeleaAna L. C. BazzanJim Tørresen
- Topics
- Reinforcement Learning in Robotics (5 papers)Optimization and Search Problems (2 papers)Explainable Artificial Intelligence (XAI) (2 papers)
- Partner nations
- United StatesBrazilNorway
In The Last Decade
Bruno Castro da Silva
14 papers receiving 199 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 114
- Control and Systems Engineering 39
- Safety Research 39
- Computer Vision and Pattern Recognition 34
- Transportation 19
Countries citing papers authored by Bruno Castro da Silva
This map shows the geographic impact of Bruno Castro da Silva'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 Castro da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Castro da Silva more than expected).
Fields of papers citing papers by Bruno Castro da Silva
This network shows the impact of papers produced by Bruno Castro da Silva. 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 Castro da Silva. The network helps show where Bruno Castro da Silva may publish in the future.
Co-authorship network of co-authors of Bruno Castro da Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Castro da Silva. A scholar is included among the top collaborators of Bruno Castro da Silva 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 Castro da Silva. Bruno Castro da Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 91 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Learning System-Efficient Equilibria in Route Choice Using Tolls | 4 |
| 10 | 33 | |
| 11 | Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks. | 5 |
| 12 | Energetic natural gradient descent | 2 |
| 13 | 23 | |
| 14 | 1 | |
| 15 | TD-δπ: a model-free algorithm for efficient exploration | 2 |
| 16 | 16 |
About Bruno Castro da Silva
Bruno Castro da Silva is a scholar working on Computational Mathematics, Signal Processing and Artificial Intelligence, having authored 16 papers that have together received 204 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Optimization and Search Problems (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (10 citations), Safety Research (39 citations) and Software (14 citations). Bruno Castro da Silva has collaborated with scholars based in United States, Brazil and Norway. Frequent co-authors include Andrew G. Barto, Yuriy Brun, Philip S. Thomas, Emma Brunskill, Stephen Giguere, Alexandru Telea, Ana L. C. Bazzan, Jim Tørresen, João L. D. Comba and Gianluca Baldassarre. Their work appears in journals such as Science, ACM Computing Surveys and Computers in Biology and Medicine.
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.