Maurizio Piaggio
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Renato ZaccariaAntonio SgorbissaLuca IocchiDaniele NardiHuosheng HuPaolo RubartelliG TommasiniGianni Vercelli
- Topics
- Robotic Path Planning Algorithms (21 papers)Modular Robots and Swarm Intelligence (12 papers)Robotics and Sensor-Based Localization (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHardware and Architecture
- Journals
- Robotics and Autonomous SystemsAutonomous RobotsCatheterization and Cardiovascular Interventions
- Partner nations
- ItalyUnited Kingdom
In The Last Decade
Maurizio Piaggio
25 papers receiving 230 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 144
- Computer Networks and Communications 76
- Mechanical Engineering 70
- Aerospace Engineering 63
- Artificial Intelligence 54
Countries citing papers authored by Maurizio Piaggio
This map shows the geographic impact of Maurizio Piaggio'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 Maurizio Piaggio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Piaggio more than expected).
Fields of papers citing papers by Maurizio Piaggio
This network shows the impact of papers produced by Maurizio Piaggio. 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 Maurizio Piaggio. The network helps show where Maurizio Piaggio may publish in the future.
Co-authorship network of co-authors of Maurizio Piaggio
This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Piaggio. A scholar is included among the top collaborators of Maurizio Piaggio 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 Maurizio Piaggio. Maurizio Piaggio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 49 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 10 | |
| 13 | 35 | |
| 14 | 21 | |
| 15 | 20 | |
| 16 | JERRY: A System for the Automatic Generation and Execution of Plans for Robotic Devices: The Case Study of the SPIDER Arm | 2 |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 16 | |
| 20 | 1 |
About Maurizio Piaggio
Maurizio Piaggio is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Aerospace Engineering, having authored 28 papers that have together received 256 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (21 papers), Modular Robots and Swarm Intelligence (12 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Computer Networks and Communications (76 citations) and Hardware and Architecture (20 citations). Maurizio Piaggio has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Renato Zaccaria, Antonio Sgorbissa, Luca Iocchi, Daniele Nardi, Huosheng Hu, Paolo Rubartelli, G Tommasini, Gianni Vercelli, Laura Sanna and Giovanni Adorni. Their work appears in journals such as Robotics and Autonomous Systems, Autonomous Robots and Catheterization and Cardiovascular Interventions.
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.