Daniel DiCenzo

18 papers and 189 indexed citations
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About

Daniel DiCenzo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Otorhinolaryngology. According to data from OpenAlex, Daniel DiCenzo has authored 18 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 6 papers in Otorhinolaryngology. Recurrent topics in Daniel DiCenzo’s work include Radiomics and Machine Learning in Medical Imaging (17 papers), MRI in cancer diagnosis (9 papers) and AI in cancer detection (8 papers). Daniel DiCenzo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), MRI in cancer diagnosis (9 papers) and AI in cancer detection (8 papers). Daniel DiCenzo collaborates with scholars based in Canada, United States and United Kingdom. Daniel DiCenzo's co-authors include Lakshmanan Sannachi, Gregory J. Czarnota, Archya Dasgupta, Frances C. Wright, Maureen Trudeau, Sonal Gandhi, Belinda Curpen, William T. Tran, Irene Karam and Ian Poon and has published in prestigious journals such as Scientific Reports, Oncotarget and Cancers.

In The Last Decade

Co-authorship network of co-authors of Daniel DiCenzo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel DiCenzo. A scholar is included among the top collaborators of Daniel DiCenzo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel DiCenzo. Daniel DiCenzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Daniel DiCenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel DiCenzo

Since Specialization
Citations

This map shows the geographic impact of Daniel DiCenzo'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 Daniel DiCenzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel DiCenzo 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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2026