Francesco Fiz

89 papers and 1.1k indexed citations i.

About

Francesco Fiz is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Francesco Fiz has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Oncology and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Francesco Fiz’s work include Radiomics and Machine Learning in Medical Imaging (22 papers), Medical Imaging Techniques and Applications (19 papers) and Radiopharmaceutical Chemistry and Applications (11 papers). Francesco Fiz is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), Medical Imaging Techniques and Applications (19 papers) and Radiopharmaceutical Chemistry and Applications (11 papers). Francesco Fiz collaborates with scholars based in Italy, Switzerland and Germany. Francesco Fiz's co-authors include Martina Sollini, Arturo Chiti, Gianmario Sambuceti, Silvia Morbelli, Arnoldo Piccardo, Cecilia Marini, Luca Viganò, Fabrizia Gelardi, Margarita Kirienko and Noemi Gozzi and has published in prestigious journals such as Blood, Radiology and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Francesco Fiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Fiz

Since Specialization
Citations

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