Giuseppe Muscio
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Francesco PierriFabrizio CaccavaleElisabetta CataldiGianluca AntonelliAlessandro MarinoDavide BicegoAntonio FranchiMarkus Ryll
- Topics
- Robot Manipulation and Learning (8 papers)Robotic Mechanisms and Dynamics (7 papers)Robotic Path Planning Algorithms (7 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAerospace Engineering
In The Last Decade
Giuseppe Muscio
17 papers receiving 520 citations
Peers
Comparison fields: 5 of 37
- Control and Systems Engineering 389
- Computer Vision and Pattern Recognition 267
- Aerospace Engineering 164
- Mechanical Engineering 124
- Computer Networks and Communications 121
Countries citing papers authored by Giuseppe Muscio
This map shows the geographic impact of Giuseppe Muscio'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 Muscio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Muscio more than expected).
Fields of papers citing papers by Giuseppe Muscio
This network shows the impact of papers produced by Giuseppe Muscio. 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 Muscio. The network helps show where Giuseppe Muscio may publish in the future.
Co-authorship network of co-authors of Giuseppe Muscio
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Muscio. A scholar is included among the top collaborators of Giuseppe Muscio 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 Giuseppe Muscio. Giuseppe Muscio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 117 | |
| 3 | 26 | |
| 4 | 45 | |
| 5 | 16 | |
| 6 | 52 | |
| 7 | 17 | |
| 8 | 39 | |
| 9 | 2 | |
| 10 | 51 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 67 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 46 | |
| 17 | 6 |
About Giuseppe Muscio
Giuseppe Muscio is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 17 papers that have together received 528 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Robotic Mechanisms and Dynamics (7 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Control and Systems Engineering (389 citations), Computer Vision and Pattern Recognition (267 citations) and Aerospace Engineering (164 citations). Giuseppe Muscio has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Francesco Pierri, Fabrizio Caccavale, Elisabetta Cataldi, Gianluca Antonelli, Alessandro Marino, Davide Bicego, Antonio Franchi, Markus Ryll, Anı́bal Ollero and Antidio Viguria. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Control Systems Technology and Journal of Intelligent & Robotic Systems.
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.