Giuseppe Megali

35 papers and 515 indexed citations i.

About

Giuseppe Megali is a scholar working on Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering. According to data from OpenAlex, Giuseppe Megali has authored 35 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Surgery and 12 papers in Biomedical Engineering. Recurrent topics in Giuseppe Megali’s work include Surgical Simulation and Training (14 papers), Augmented Reality Applications (13 papers) and Non-Destructive Testing Techniques (9 papers). Giuseppe Megali is often cited by papers focused on Surgical Simulation and Training (14 papers), Augmented Reality Applications (13 papers) and Non-Destructive Testing Techniques (9 papers). Giuseppe Megali collaborates with scholars based in Italy, Japan and United Kingdom. Giuseppe Megali's co-authors include Paolo Dario, Oliver Tonet, Matteo Cacciola, Francesco Carlo Morabito, Andrea Pietrabissa, Franco Mosca, Filippo Cavallo, Vincenzo Ferrari, Maurilio Marcacci and Maria Chiara Carrozza and has published in prestigious journals such as Annals of Surgery, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of Giuseppe Megali i

Fields of papers citing papers by Giuseppe Megali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giuseppe Megali

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025