Antonio Di Ieva

161 papers and 3.3k indexed citations i.

About

Antonio Di Ieva is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Genetics. According to data from OpenAlex, Antonio Di Ieva has authored 161 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Surgery and 32 papers in Genetics. Recurrent topics in Antonio Di Ieva’s work include Glioma Diagnosis and Treatment (29 papers), Radiomics and Machine Learning in Medical Imaging (26 papers) and Pituitary Gland Disorders and Treatments (22 papers). Antonio Di Ieva is often cited by papers focused on Glioma Diagnosis and Treatment (29 papers), Radiomics and Machine Learning in Medical Imaging (26 papers) and Pituitary Gland Disorders and Treatments (22 papers). Antonio Di Ieva collaborates with scholars based in Australia, Canada and Austria. Antonio Di Ieva's co-authors include Michael D. Cusimano, Fabio Grizzi, Manfred Tschabitscher, Fabio Rotondo, Kálmán Kovács, Luis V. Syro, Sidong Liu, Carlo Russo, Herbert F. Jelinek and Christian Matula and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Antonio Di Ieva i

Fields of papers citing papers by Antonio Di Ieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Di Ieva. 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 Antonio Di Ieva. The network helps show where Antonio Di Ieva may publish in the future.

Countries citing papers authored by Antonio Di Ieva

Since Specialization
Citations

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