Daniele La Forgia

66 papers and 1.1k indexed citations i.

About

Daniele La Forgia is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniele La Forgia has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Artificial Intelligence and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniele La Forgia’s work include Radiomics and Machine Learning in Medical Imaging (27 papers), AI in cancer detection (23 papers) and MRI in cancer diagnosis (11 papers). Daniele La Forgia is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (27 papers), AI in cancer detection (23 papers) and MRI in cancer diagnosis (11 papers). Daniele La Forgia collaborates with scholars based in Italy, Romania and Türkiye. Daniele La Forgia's co-authors include Annarita Fanizzi, Raffaella Massafra, Vittorio Didonna, Pasquale Tamborra, Sabina Tangaro, R. Bellotti, Vito Lorusso, Alberto Tagliafico, Alfredo Zito and L. Losurdo and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Daniele La Forgia i

Fields of papers citing papers by Daniele La Forgia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele La Forgia. 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 Daniele La Forgia. The network helps show where Daniele La Forgia may publish in the future.

Countries citing papers authored by Daniele La Forgia

Since Specialization
Citations

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