Flavia Causa

About

Flavia Causa is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Flavia Causa has authored 38 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Aerospace Engineering, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Flavia Causa’s work include Robotics and Sensor-Based Localization (23 papers), Air Traffic Management and Optimization (15 papers) and Robotic Path Planning Algorithms (13 papers). Flavia Causa is often cited by papers focused on Robotics and Sensor-Based Localization (23 papers), Air Traffic Management and Optimization (15 papers) and Robotic Path Planning Algorithms (13 papers). Flavia Causa collaborates with scholars based in Italy, United States and The Netherlands. Flavia Causa's co-authors include Giancarmine Fasano, Michele Grassi, Roberto Opromolla, Alfredo Renga, Domenico Accardo, Amedeo Rodi Vetrella, Stefano Bracco, Michela Longo, Silvia Siri and Marija Popović and has published in prestigious journals such as Sensors, IEEE Transactions on Aerospace and Electronic Systems and Advances in Space Research.

In The Last Decade

Co-authorship network of co-authors of Flavia Causa i

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Fields of papers citing papers by Flavia Causa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Flavia Causa

Since Specialization

Citations

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