Filippo Crimì

51 papers and 412 indexed citations i.

About

Filippo Crimì is a scholar working on Surgery, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Filippo Crimì has authored 51 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 18 papers in Oncology and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Filippo Crimì’s work include Radiomics and Machine Learning in Medical Imaging (15 papers), Colorectal Cancer Surgical Treatments (12 papers) and Colorectal Cancer Screening and Detection (10 papers). Filippo Crimì is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Colorectal Cancer Surgical Treatments (12 papers) and Colorectal Cancer Screening and Detection (10 papers). Filippo Crimì collaborates with scholars based in Italy, United States and Switzerland. Filippo Crimì's co-authors include Diego Cecchin, Carmelo Lacognata, Roberto Stramare, Emilio Quaia, Pietro Zucchetta, Salvatore Pucciarelli, Gaya Spolverato, Cristina Campi, Filippo Ceccato and Carla Scaroni and has published in prestigious journals such as International Journal of Molecular Sciences, The Journal of Pediatrics and British journal of surgery.

In The Last Decade

Co-authorship network of co-authors of Filippo Crimì i

Fields of papers citing papers by Filippo Crimì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Filippo Crimì

Since Specialization
Citations

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