Massimo Rosamilia

14 papers and 211 indexed citations i.

About

Massimo Rosamilia is a scholar working on Aerospace Engineering, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Massimo Rosamilia has authored 14 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aerospace Engineering, 10 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Massimo Rosamilia’s work include Radar Systems and Signal Processing (10 papers), Direction-of-Arrival Estimation Techniques (9 papers) and Advanced SAR Imaging Techniques (9 papers). Massimo Rosamilia is often cited by papers focused on Radar Systems and Signal Processing (10 papers), Direction-of-Arrival Estimation Techniques (9 papers) and Advanced SAR Imaging Techniques (9 papers). Massimo Rosamilia collaborates with scholars based in Italy, China and India. Massimo Rosamilia's co-authors include Augusto Aubry, Antonio De Maio, Lan Lan, Guisheng Liao, Stefano Maranò, Jingwei Xu, Vincenzo Carotenuto, Alessio Balleri and Prabhu Babu and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Co-authorship network of co-authors of Massimo Rosamilia i

Fields of papers citing papers by Massimo Rosamilia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Rosamilia

Since Specialization
Citations

This map shows the geographic impact of Massimo Rosamilia'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 Massimo Rosamilia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Rosamilia 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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2026