Mario Di Castro

About

Mario Di Castro is a scholar working on Biomedical Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Mario Di Castro has authored 56 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 15 papers in Control and Systems Engineering and 14 papers in Aerospace Engineering. Recurrent topics in Mario Di Castro’s work include Robotics and Sensor-Based Localization (9 papers), Teleoperation and Haptic Systems (9 papers) and Robot Manipulation and Learning (8 papers). Mario Di Castro is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Teleoperation and Haptic Systems (9 papers) and Robot Manipulation and Learning (8 papers). Mario Di Castro collaborates with scholars based in Switzerland, Spain and Italy. Mario Di Castro's co-authors include Gianluca Valentino, Carl J. Debono, A. Masi, R. Marı́n, Manuel Ferré, Pedro J. Sanz, Eloise Matheson, Luca Rosario Buonocore, Nicholas Sammut and R. Losito and has published in prestigious journals such as Sensors, IEEE Access and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Mario Di Castro i

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Fields of papers citing papers by Mario Di Castro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Di Castro

Since Specialization

Citations

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