Silvia Luvarà

About

Silvia Luvarà is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Silvia Luvarà has authored 6 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Silvia Luvarà’s work include COVID-19 diagnosis using AI (2 papers), Ultrasound in Clinical Applications (2 papers) and Inflammatory Myopathies and Dermatomyositis (1 paper). Silvia Luvarà is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Ultrasound in Clinical Applications (2 papers) and Inflammatory Myopathies and Dermatomyositis (1 paper). Silvia Luvarà collaborates with scholars based in Italy. Silvia Luvarà's co-authors include Alessandra Bindi, Vittorio Miele, Edoardo Cavigli, Chiara Moroni, Diletta Cozzi, Marco Albanesi, L.N. Mazzoni, S. Busoni, Silvia Lucarini and Stefano Grifoni and has published in prestigious journals such as Anti-Cancer Drugs, La radiologia medica and Japanese Journal of Radiology.

In The Last Decade

Co-authorship network of co-authors of Silvia Luvarà i

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Fields of papers citing papers by Silvia Luvarà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Silvia Luvarà

Since Specialization

Citations

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