Fábio Ramos

129 papers and 2.4k indexed citations i.

About

Fábio Ramos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Fábio Ramos has authored 129 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 47 papers in Computer Vision and Pattern Recognition and 37 papers in Aerospace Engineering. Recurrent topics in Fábio Ramos’s work include Gaussian Processes and Bayesian Inference (37 papers), Robotics and Sensor-Based Localization (35 papers) and Target Tracking and Data Fusion in Sensor Networks (20 papers). Fábio Ramos is often cited by papers focused on Gaussian Processes and Bayesian Inference (37 papers), Robotics and Sensor-Based Localization (35 papers) and Target Tracking and Data Fusion in Sensor Networks (20 papers). Fábio Ramos collaborates with scholars based in Australia, United States and Brazil. Fábio Ramos's co-authors include Lionel Ott, Ben Upcroft, Alex Bewley, Zongyuan Ge, Simon O’Callaghan, Román Marchant, Hugh Durrant‐Whyte, Arman Melkumyan, Vitor Guizilini and Dieter Fox and has published in prestigious journals such as Geophysics, IEEE Access and PLoS Computational Biology.

In The Last Decade

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

Fields of papers citing papers by Fábio Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fábio Ramos

Since Specialization
Citations

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