Maurizio Balbi

27 papers and 297 indexed citations i.

About

Maurizio Balbi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Maurizio Balbi has authored 27 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Maurizio Balbi’s work include COVID-19 diagnosis using AI (8 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Maurizio Balbi is often cited by papers focused on COVID-19 diagnosis using AI (8 papers), Lung Cancer Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Maurizio Balbi collaborates with scholars based in Italy, United States and The Netherlands. Maurizio Balbi's co-authors include Nicola Sverzellati, Gianluca Milanese, Mario Silva, Roberta Eufrasia Ledda, Sandro Sironi, Fabiano Di Marco, Anna Caroli, A Surace, Pietro Andrea Bonaffini and Andrea Corsi and has published in prestigious journals such as PLoS ONE, Annals of Oncology and American Journal of Roentgenology.

In The Last Decade

Co-authorship network of co-authors of Maurizio Balbi i

Fields of papers citing papers by Maurizio Balbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maurizio Balbi

Since Specialization
Citations

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