Bruno C. da Silva

42 total papers · 456 total citations
25 papers, 277 citations indexed

About

Bruno C. da Silva is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Bruno C. da Silva has authored 25 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Bruno C. da Silva's work include Reinforcement Learning in Robotics (8 papers), Software Engineering Research (8 papers) and Advanced Bandit Algorithms Research (5 papers). Bruno C. da Silva is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Software Engineering Research (8 papers) and Advanced Bandit Algorithms Research (5 papers). Bruno C. da Silva collaborates with scholars based in Brazil, United States and Austria. Bruno C. da Silva's co-authors include Ana L. C. Bazzan, Paulo Martins Engel, Paulo Maciel, Cláudio Sant’Anna, Kleinner Farias, Christina Chávez, Erivelton G. Nepomuceno, Matjaž Perc, Ratnesh Sharma and Gustavo Callou and has published in prestigious journals such as Applied Mathematics and Computation, Information and Software Technology and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Bruno C. da Silva

23 papers receiving 264 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bruno C. da Silva	117	87	49	46	39	25	277
Takfarinas Saber	122 1.0×	115 1.3×	53 1.1×	20 0.4×	37 0.9×	41	315
Hoang Thanh Lam	164 1.4×	163 1.9×	86 1.8×	20 0.4×	9 0.2×	27	323
Mehrdad Ashtiani	103 0.9×	139 1.6×	101 2.1×	20 0.4×	9 0.2×	37	319
Gabriel Aguilera‐Venegas	62 0.5×	38 0.4×	67 1.4×	24 0.5×	59 1.5×	41	306
Khalid Aloufi	91 0.8×	69 0.8×	127 2.6×	25 0.5×	82 2.1×	28	281
Martin Becker	105 0.9×	103 1.2×	46 0.9×	17 0.4×	38 1.0×	29	282
Christian Johansen	47 0.4×	49 0.6×	37 0.8×	41 0.9×	20 0.5×	35	187
Qianqian Wang	125 1.1×	134 1.5×	57 1.2×	11 0.2×	13 0.3×	29	297
Mian Muhammad Awais	168 1.4×	97 1.1×	126 2.6×	29 0.6×	10 0.3×	38	303
Davide Cerotti	26 0.2×	58 0.7×	120 2.4×	17 0.4×	40 1.0×	25	225

Countries citing papers authored by Bruno C. da Silva

Since Specialization

Citations

This map shows the geographic impact of Bruno C. 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 C. 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 C. da Silva more than expected).

Fields of papers citing papers by Bruno C. da Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno C. 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 C. da Silva. The network helps show where Bruno C. da Silva may publish in the future.

Co-authorship network of co-authors of Bruno C. da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno C. da Silva. A scholar is included among the top collaborators of Bruno C. 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 C. da Silva. Bruno C. da Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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