Michele Svanera

12 papers and 222 indexed citations i.

About

Michele Svanera is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michele Svanera has authored 12 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michele Svanera’s work include Medical Image Segmentation Techniques (3 papers), Neural dynamics and brain function (3 papers) and Advanced MRI Techniques and Applications (2 papers). Michele Svanera is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Neural dynamics and brain function (3 papers) and Advanced MRI Techniques and Applications (2 papers). Michele Svanera collaborates with scholars based in Italy, United Kingdom and Israel. Michele Svanera's co-authors include Sergio Benini, Pietro Poesio, Riccardo Leonardi, Lars Muckli, Alberto Signoroni, András Bálint Kovács, Gal Raz, Mattia Savardi, Giancarlo Valente and Rainer Goebel and has published in prestigious journals such as NeuroImage, Human Brain Mapping and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Michele Svanera i

Fields of papers citing papers by Michele Svanera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michele Svanera

Since Specialization
Citations

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