Francesco Renna

56 papers and 1.2k indexed citations i.

About

Francesco Renna is a scholar working on Pulmonary and Respiratory Medicine, Signal Processing and Computational Mechanics. According to data from OpenAlex, Francesco Renna has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 21 papers in Signal Processing and 16 papers in Computational Mechanics. Recurrent topics in Francesco Renna’s work include Phonocardiography and Auscultation Techniques (18 papers), Sparse and Compressive Sensing Techniques (16 papers) and Music and Audio Processing (9 papers). Francesco Renna is often cited by papers focused on Phonocardiography and Auscultation Techniques (18 papers), Sparse and Compressive Sensing Techniques (16 papers) and Music and Audio Processing (9 papers). Francesco Renna collaborates with scholars based in Portugal, United Kingdom and United States. Francesco Renna's co-authors include Clarice Poon, Anders C. Hansen, Ben Adcock, Vegard Antun, Miguel Coimbra, Jorge Oliveira, Nicola Laurenti, Miguel R. D. Rodrigues, Irina B. Grafova and H. Vincent Poor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gut and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Francesco Renna i

Fields of papers citing papers by Francesco Renna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Renna

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025