Magno T. M. Silva

44 papers and 437 indexed citations i.

About

Magno T. M. Silva is a scholar working on Computational Mechanics, Signal Processing and Statistical and Nonlinear Physics. According to data from OpenAlex, Magno T. M. Silva has authored 44 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Mechanics, 32 papers in Signal Processing and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Magno T. M. Silva’s work include Advanced Adaptive Filtering Techniques (34 papers), Blind Source Separation Techniques (31 papers) and Speech and Audio Processing (18 papers). Magno T. M. Silva is often cited by papers focused on Advanced Adaptive Filtering Techniques (34 papers), Blind Source Separation Techniques (31 papers) and Speech and Audio Processing (18 papers). Magno T. M. Silva collaborates with scholars based in Brazil and Spain. Magno T. M. Silva's co-authors include Vítor H. Nascimento, Jerónimo Arenas‐García, Renato Candido, Luis A. Azpicueta-Ruiz, María Dolores Martínez Miranda, Ali H. Sayed, Marcio Eisencraft and Diogo C. Soriano and has published in prestigious journals such as IEEE Transactions on Signal Processing, Journal of the Franklin Institute and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of Magno T. M. Silva i

Fields of papers citing papers by Magno T. M. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magno T. M. 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 Magno T. M. Silva. The network helps show where Magno T. M. Silva may publish in the future.

Countries citing papers authored by Magno T. M. Silva

Since Specialization
Citations

This map shows the geographic impact of Magno T. M. 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 Magno T. M. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magno T. M. Silva 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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