Leandro A. Silva

About

Leandro A. Silva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Leandro A. Silva has authored 28 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Leandro A. Silva’s work include Face and Expression Recognition (4 papers), Machine Learning and Data Classification (4 papers) and Neural Networks and Applications (3 papers). Leandro A. Silva is often cited by papers focused on Face and Expression Recognition (4 papers), Machine Learning and Data Classification (4 papers) and Neural Networks and Applications (3 papers). Leandro A. Silva collaborates with scholars based in Brazil, Chile and Mozambique. Leandro A. Silva's co-authors include Leandro Nunes de Castro, Eduardo A. Oliveira, Isabel Gomes Quirino, Cristiane S. Dias, José María Penido Silva, Ana Cristina Simões e Silva, Alamanda Kfoury Pereira, Roberto Muñoz, Maurício Marengoni and Thiago Barcelos and has published in prestigious journals such as The Journal of Urology, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Leandro A. Silva i

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Fields of papers citing papers by Leandro A. Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leandro A. Silva

Since Specialization

Citations

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