Francesca Ieva

102 papers and 1.0k indexed citations i.

About

Francesca Ieva is a scholar working on Statistics and Probability, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Francesca Ieva has authored 102 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 25 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Artificial Intelligence. Recurrent topics in Francesca Ieva’s work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (13 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Francesca Ieva is often cited by papers focused on Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (13 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Francesca Ieva collaborates with scholars based in Italy, The Netherlands and United Kingdom. Francesca Ieva's co-authors include Anna Maria Paganoni, Carlo Piccardi, Lucia Tajoli, Chiara Masci, Christopher Jackson, Linda Sharples, Tommaso Agasisti, Valeria Vitelli, Davide Pigoli and Fabrizio Ruggeri and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Heart Journal.

In The Last Decade

Co-authorship network of co-authors of Francesca Ieva i

Fields of papers citing papers by Francesca Ieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesca Ieva

Since Specialization
Citations

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