Nicola Falcionelli

19 papers and 248 indexed citations i.

About

Nicola Falcionelli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Nicola Falcionelli has authored 19 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Nicola Falcionelli’s work include Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Functional Brain Connectivity Studies (3 papers). Nicola Falcionelli is often cited by papers focused on Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Functional Brain Connectivity Studies (3 papers). Nicola Falcionelli collaborates with scholars based in Italy, Switzerland and The Netherlands. Nicola Falcionelli's co-authors include Aldo Franco Dragoni, Paolo Sernani, Selene Tomassini, Laura Burattini, Paolo Castellini, Paolo Chiariotti, Henning Müller, Mara Lombardi, Micaela Morettini and Agnese Sbrollini and has published in prestigious journals such as Sensors, IEEE Access and Computer Methods and Programs in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Nicola Falcionelli i

Fields of papers citing papers by Nicola Falcionelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nicola Falcionelli

Since Specialization
Citations

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