Fabrizio Urraro

51 papers and 652 indexed citations i.

About

Fabrizio Urraro is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Fabrizio Urraro has authored 51 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 20 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Surgery. Recurrent topics in Fabrizio Urraro’s work include COVID-19 diagnosis using AI (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 Clinical Research Studies (6 papers). Fabrizio Urraro is often cited by papers focused on COVID-19 diagnosis using AI (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 Clinical Research Studies (6 papers). Fabrizio Urraro collaborates with scholars based in Italy, United States and Spain. Fabrizio Urraro's co-authors include Salvatore Cappabianca, Alfonso Reginelli, Roberta Grassi, Maria Paola Belfiore, Giuliana Giacobbe, Gianluigi Patelli, Antonio Rotondò, Alfredo Clemente, Roberta Fusco and Roberto Grassi and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Cancers.

In The Last Decade

Co-authorship network of co-authors of Fabrizio Urraro i

Fields of papers citing papers by Fabrizio Urraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabrizio Urraro

Since Specialization
Citations

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