Fábio Silva

39 papers and 1.4k indexed citations i.

About

Fábio Silva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Fábio Silva has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Fábio Silva’s work include Context-Aware Activity Recognition Systems (7 papers), Human Mobility and Location-Based Analysis (5 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Fábio Silva is often cited by papers focused on Context-Aware Activity Recognition Systems (7 papers), Human Mobility and Location-Based Analysis (5 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Fábio Silva collaborates with scholars based in Portugal, Brazil and United States. Fábio Silva's co-authors include Deborah Estrin, John Heidemann, Chalermek Intanagonwiwat, Ramesh Govindan, César Analide, Ana Luiza Chaves Valadão, Fábio Luís Lima Monteiro, Matthew T. Aliota, Rodrigo Delvecchio and Paula Pezzuto and has published in prestigious journals such as Molecules, Plastic & Reconstructive Surgery and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Fábio Silva i

Fields of papers citing papers by Fábio Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fábio Silva

Since Specialization
Citations

This map shows the geographic impact of Fábio 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 Fábio Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio 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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