Daniele Barone

3 papers and 71 indexed citations i.

About

Daniele Barone is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniele Barone has authored 3 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniele Barone’s work include Cardiac Imaging and Diagnostics (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Cardiovascular Function and Risk Factors (1 paper). Daniele Barone is often cited by papers focused on Cardiac Imaging and Diagnostics (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Cardiovascular Function and Risk Factors (1 paper). Daniele Barone collaborates with scholars based in Italy, Canada and United States. Daniele Barone's co-authors include Jennifer Horkoff, Daniel Amyot, Lei Jiang, Alex Borgida, Eric Yu, John Mylopoulos, Carlo Batini, Piercarlo Ballo and Sergio Mondillo and has published in prestigious journals such as American Journal of Hypertension, Software & Systems Modeling and ICIQ.

In The Last Decade

Co-authorship network of co-authors of Daniele Barone i

Fields of papers citing papers by Daniele Barone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Barone

Since Specialization
Citations

This map shows the geographic impact of Daniele Barone'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 Daniele Barone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Barone 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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2025