Mario Urso

43 papers and 1.2k indexed citations i.

About

Mario Urso is a scholar working on Condensed Matter Physics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Mario Urso has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Condensed Matter Physics, 14 papers in Biomedical Engineering and 13 papers in Mechanical Engineering. Recurrent topics in Mario Urso’s work include Micro and Nano Robotics (20 papers), Modular Robots and Swarm Intelligence (12 papers) and Molecular Communication and Nanonetworks (7 papers). Mario Urso is often cited by papers focused on Micro and Nano Robotics (20 papers), Modular Robots and Swarm Intelligence (12 papers) and Molecular Communication and Nanonetworks (7 papers). Mario Urso collaborates with scholars based in Italy, Czechia and Taiwan. Mario Urso's co-authors include Martin Pumera, Martina Ussia, Peng Xia, S. Mirabella, Filip Novotný, F. Priolo, Kristyna Dolezelikova, José Muñoz, Çağatay M. Oral and Hana Michalkova and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and ACS Nano.

In The Last Decade

Co-authorship network of co-authors of Mario Urso i

Fields of papers citing papers by Mario Urso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Urso

Since Specialization
Citations

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