Andrea Giusti
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Matthias AlthoffDominik T. MattRoberto CasadioLorenzo ScaleraJorge OvalleRenato VidoniAaron PereiraCarmen Marcher
- Topics
- Robot Manipulation and Learning (15 papers)Modular Robots and Swarm Intelligence (14 papers)Robotic Path Planning Algorithms (8 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringBuilding and Construction
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPhysics Letters B
- Partner nations
- ItalyGermanySwitzerland
In The Last Decade
Andrea Giusti
45 papers receiving 525 citations
Peers
Comparison fields: 5 of 87
- Control and Systems Engineering 236
- Mechanical Engineering 138
- Biomedical Engineering 118
- Industrial and Manufacturing Engineering 90
- Computer Vision and Pattern Recognition 83
Countries citing papers authored by Andrea Giusti
This map shows the geographic impact of Andrea Giusti'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 Andrea Giusti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Giusti more than expected).
Fields of papers citing papers by Andrea Giusti
This network shows the impact of papers produced by Andrea Giusti. 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 Andrea Giusti. The network helps show where Andrea Giusti may publish in the future.
Co-authorship network of co-authors of Andrea Giusti
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Giusti. A scholar is included among the top collaborators of Andrea Giusti 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 Andrea Giusti. Andrea Giusti 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 | 8 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 30 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 58 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 16 | |
| 19 | 19 | |
| 20 | 22 |
About Andrea Giusti
Andrea Giusti is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Building and Construction, having authored 49 papers that have together received 538 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (15 papers), Modular Robots and Swarm Intelligence (14 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Control and Systems Engineering (236 citations), Industrial and Manufacturing Engineering (90 citations) and Building and Construction (72 citations). Andrea Giusti has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Matthias Althoff, Dominik T. Matt, Roberto Casadio, Lorenzo Scalera, Jorge Ovalle, Renato Vidoni, Aaron Pereira, Carmen Marcher, Alessandro Gasparetto and Michael Riedl. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physics Letters B.
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.