Mario Di Castro
- Mechanical Engineering top 10%
- Civil and Structural Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Gianluca ValentinoA. MasiCarl James DebonoLeanne AttardR. Marı́nManuel FerréEloise MathesonPedro J. Sanz
- Topics
- Robotics and Sensor-Based Localization (14 papers)Teleoperation and Haptic Systems (13 papers)Robot Manipulation and Learning (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- SwitzerlandSpainItaly
In The Last Decade
Mario Di Castro
71 papers receiving 721 citations
Peers
Comparison fields: 5 of 82
- Mechanical Engineering 221
- Civil and Structural Engineering 213
- Computer Vision and Pattern Recognition 169
- Biomedical Engineering 164
- Control and Systems Engineering 134
Countries citing papers authored by Mario Di Castro
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).
Fields of papers citing papers by Mario Di Castro
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.
Co-authorship network of co-authors of Mario Di Castro
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Di Castro. A scholar is included among the top collaborators of Mario Di Castro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Di Castro. Mario Di Castro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 37 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 8 | |
| 17 | 9 | |
| 18 | 45 | |
| 19 | 6 | |
| 20 | ROBUSTNESS TEST OF A SILICON STRIP CRYSTAL FOR CRYSTAL-ASSISTED COLLIMATION STUDIES IN THE LHC | 1 |
About Mario Di Castro
Mario Di Castro is a scholar working on Geology, Aerospace Engineering and Control and Systems Engineering, having authored 78 papers that have together received 747 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Teleoperation and Haptic Systems (13 papers) and Robot Manipulation and Learning (10 papers). The work is most often cited by research in Geology (109 citations), Civil and Structural Engineering (213 citations) and Computer Vision and Pattern Recognition (169 citations). Mario Di Castro has collaborated with scholars based in Switzerland, Spain and Italy. Frequent co-authors include Gianluca Valentino, A. Masi, Carl James Debono, Leanne Attard, R. Marı́n, Manuel Ferré, Eloise Matheson, Pedro J. Sanz, L. Scibile and R. Losito. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.