Renata Lopes Rosa

22 papers and 332 indexed citations i.

About

Renata Lopes Rosa is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Renata Lopes Rosa has authored 22 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 7 papers in Computer Networks and Communications. Recurrent topics in Renata Lopes Rosa’s work include Speech and Audio Processing (5 papers), Traffic Prediction and Management Techniques (2 papers) and Wireless Networks and Protocols (2 papers). Renata Lopes Rosa is often cited by papers focused on Speech and Audio Processing (5 papers), Traffic Prediction and Management Techniques (2 papers) and Wireless Networks and Protocols (2 papers). Renata Lopes Rosa collaborates with scholars based in Brazil, Pakistan and Finland. Renata Lopes Rosa's co-authors include Demóstenes Zegarra Rodríguez, Muhammad Saadi, Graça Bressan, Dick Carrillo, Ahmed Farouk, Lunchakorn Wuttisittikulkij, João Henrique Kleinschmidt, Júlia Issy Abrahão, Sattam Al Otaibi and Pablo Adasme and has published in prestigious journals such as Sensors, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Co-authorship network of co-authors of Renata Lopes Rosa i

Fields of papers citing papers by Renata Lopes Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renata Lopes Rosa. 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 Renata Lopes Rosa. The network helps show where Renata Lopes Rosa may publish in the future.

Countries citing papers authored by Renata Lopes Rosa

Since Specialization
Citations

This map shows the geographic impact of Renata Lopes Rosa'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 Renata Lopes Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renata Lopes Rosa 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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2025