Matteo Danieletto

28 papers and 280 indexed citations i.

About

Matteo Danieletto is a scholar working on Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matteo Danieletto has authored 28 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matteo Danieletto’s work include Wireless Networks and Protocols (3 papers), Machine Learning in Healthcare (3 papers) and Infrared Thermography in Medicine (2 papers). Matteo Danieletto is often cited by papers focused on Wireless Networks and Protocols (3 papers), Machine Learning in Healthcare (3 papers) and Infrared Thermography in Medicine (2 papers). Matteo Danieletto collaborates with scholars based in United States, Italy and Germany. Matteo Danieletto's co-authors include Joel T. Dudley, Riccardo Miotto, Michele Zorzi, Hao-Chih Lee, Sarah T. Cherng, Benjamin S. Glicksberg, Erwin P. Böttinger, Isotta Landi, Cesare Furlanello and Giulia Landi and has published in prestigious journals such as Gastroenterology, Frontiers in Immunology and IEEE Communications Magazine.

In The Last Decade

Co-authorship network of co-authors of Matteo Danieletto i

Fields of papers citing papers by Matteo Danieletto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo Danieletto

Since Specialization
Citations

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