Marcelo G. S. Bruno

About

Marcelo G. S. Bruno is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Marcelo G. S. Bruno has authored 45 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 13 papers in Signal Processing. Recurrent topics in Marcelo G. S. Bruno’s work include Target Tracking and Data Fusion in Sensor Networks (38 papers), Blind Source Separation Techniques (11 papers) and Advanced Adaptive Filtering Techniques (10 papers). Marcelo G. S. Bruno is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (38 papers), Blind Source Separation Techniques (11 papers) and Advanced Adaptive Filtering Techniques (10 papers). Marcelo G. S. Bruno collaborates with scholars based in Brazil, United States and Sweden. Marcelo G. S. Bruno's co-authors include José M. F. Moura, Alison de Oliveira Moraes, Anton M. Pavlov, Carsten Fritsche, Fredrik Gustafsson, Marcos R. O. A. Máximo, Jonas Sousasantos and Emre Özkan and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Co-authorship network of co-authors of Marcelo G. S. Bruno i

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Fields of papers citing papers by Marcelo G. S. Bruno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo G. S. Bruno. 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 Marcelo G. S. Bruno. The network helps show where Marcelo G. S. Bruno may publish in the future.

Countries citing papers authored by Marcelo G. S. Bruno

Since Specialization

Citations

This map shows the geographic impact of Marcelo G. S. Bruno'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 Marcelo G. S. Bruno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo G. S. Bruno more than expected).

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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