Bruno Castro da Silva

417 total citations
16 papers, 204 citations indexed

About

Bruno Castro da Silva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Bruno Castro da Silva has authored 16 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Bruno Castro da Silva's work include Reinforcement Learning in Robotics (5 papers), Optimization and Search Problems (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Bruno Castro da Silva is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Optimization and Search Problems (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Bruno Castro da Silva collaborates with scholars based in United States, Brazil and Norway. Bruno Castro da Silva's co-authors include Andrew G. Barto, Yuriy Brun, Philip S. Thomas, Emma Brunskill, Stephen Giguere, Ana L. C. Bazzan, Alexandru Telea, João L. D. Comba, Jim Tørresen and Gianluca Baldassarre and has published in prestigious journals such as Science, ACM Computing Surveys and Computers in Biology and Medicine.

In The Last Decade

Bruno Castro da Silva

14 papers receiving 199 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bruno Castro da Silva United States 7 114 39 39 34 19 16 204
Matthew Klenk United States 10 239 2.1× 26 0.7× 7 0.2× 25 0.7× 14 0.7× 31 334
Johan Källström Sweden 5 83 0.7× 18 0.5× 10 0.3× 9 0.3× 4 0.2× 11 214
Haroon Elahi China 8 85 0.7× 10 0.3× 9 0.2× 14 0.4× 12 0.6× 17 228
Severin Kacianka Germany 7 67 0.6× 48 1.2× 25 0.6× 15 0.4× 12 225
Adrian Calma Germany 8 150 1.3× 23 0.6× 31 0.8× 39 1.1× 1 0.1× 17 256
Hengshuai Yao Canada 8 111 1.0× 33 0.8× 11 0.3× 26 0.8× 2 0.1× 19 192
Julia Badger United States 8 74 0.6× 40 1.0× 62 1.6× 22 0.6× 20 226
Yasaman Khazaeni United States 9 172 1.5× 15 0.4× 7 0.2× 11 0.3× 8 0.4× 18 296
Max Hort United Kingdom 7 119 1.0× 5 0.1× 105 2.7× 14 0.4× 2 0.1× 18 240
Andrew Silva United States 8 128 1.1× 24 0.6× 22 0.6× 25 0.7× 17 207

Countries citing papers authored by Bruno Castro da Silva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
1.
Rajpurohit, Tanmay, et al.. (2025). RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. ACM Computing Surveys. 58(2). 1–37. 10 indexed citations
2.
Thomas, Philip S., et al.. (2024). From Past to Future: Rethinking Eligibility Traces. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12253–12260.
3.
Hoag, Austin, et al.. (2023). Seldonian Toolkit: Building Software with Safe and Fair Machine Learning. 107–111. 7 indexed citations
4.
5.
Silva, Bruno Castro da, et al.. (2021). Patterns of high-risk drinking among medical students: A web-based survey with machine learning. Computers in Biology and Medicine. 136. 104747–104747. 6 indexed citations
6.
Tørresen, Jim, et al.. (2019). Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise. Duo Research Archive (University of Oslo). 174–179. 1 indexed citations
7.
Thomas, Philip S., Bruno Castro da Silva, Andrew G. Barto, et al.. (2019). Preventing undesirable behavior of intelligent machines. Science. 366(6468). 999–1004. 91 indexed citations
8.
Falcão, Alexandre X., et al.. (2019). A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. University of Groningen research database (University of Groningen / Centre for Information Technology). 15. 1–10. 3 indexed citations
9.
Ramos, Gabriel de Oliveira, Bruno Castro da Silva, Roxana Rădulescu, & Ana L. C. Bazzan. (2018). Learning System-Efficient Equilibria in Route Choice Using Tolls. VUBIR (Vrije Universiteit Brussel). 1–9. 4 indexed citations
10.
Telea, Alexandru, et al.. (2018). A task-and-technique centered survey on visual analytics for deep learning model engineering. Computers & Graphics. 77. 30–49. 33 indexed citations
11.
Silva, Bruno Castro da, et al.. (2016). Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks.. International Joint Conference on Artificial Intelligence. 5 indexed citations
12.
Thomas, Philip S., Bruno Castro da Silva, Christoph Dann, & Emma Brunskill. (2016). Energetic natural gradient descent. International Conference on Machine Learning. 2887–2895. 2 indexed citations
13.
Silva, Bruno Castro da, Gianluca Baldassarre, George Konidaris, & Andrew G. Barto. (2014). Learning parameterized motor skills on a humanoid robot. 6556. 5239–5244. 23 indexed citations
14.
Corkill, Daniel D., et al.. (2013). Biasing the behavior of organizationally adept agents: (extended abstract). Adaptive Agents and Multi-Agents Systems. 1309–1310. 1 indexed citations
15.
Silva, Bruno Castro da & Andrew G. Barto. (2012). TD-δπ: a model-free algorithm for efficient exploration. National Conference on Artificial Intelligence. 886–892. 2 indexed citations
16.
Silva, Bruno Castro da, et al.. (2006). ITSUMO. 1471–1472. 16 indexed citations

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.

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