Leonardo S. Mattos

120 papers and 1.6k indexed citations i.

About

Leonardo S. Mattos is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leonardo S. Mattos has authored 120 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Biomedical Engineering, 47 papers in Surgery and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leonardo S. Mattos’s work include Surgical Simulation and Training (38 papers), Soft Robotics and Applications (30 papers) and Anatomy and Medical Technology (17 papers). Leonardo S. Mattos is often cited by papers focused on Surgical Simulation and Training (38 papers), Soft Robotics and Applications (30 papers) and Anatomy and Medical Technology (17 papers). Leonardo S. Mattos collaborates with scholars based in Italy, United States and United Kingdom. Leonardo S. Mattos's co-authors include Elena De Momi, Sara Moccia, Darwin G. Caldwell, Sara El Hadji, Giorgio Peretti, Giacinto Barresi, Luca Guastini, Nikhil Deshpande, Edward Grant and Zhuoqi Cheng and has published in prestigious journals such as Advanced Materials, Annals of Internal Medicine and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Leonardo S. Mattos i

Fields of papers citing papers by Leonardo S. Mattos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo S. Mattos. 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 Leonardo S. Mattos. The network helps show where Leonardo S. Mattos may publish in the future.

Countries citing papers authored by Leonardo S. Mattos

Since Specialization
Citations

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