Alessandro Marino
- Control and Systems Engineering top 1%
- Computer Networks and Communications top 2%
- Mechanical Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Fabrizio CaccavaleGianluca AntonelliFilippo ArrichielloFrancesco PierriPasquale ChiacchioMartina LippiLuigi VillaniLynne E. Parker
- Topics
- Distributed Control Multi-Agent Systems (38 papers)Robot Manipulation and Learning (27 papers)Robotic Path Planning Algorithms (18 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Alessandro Marino
80 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Control and Systems Engineering 774
- Computer Networks and Communications 531
- Mechanical Engineering 345
- Computer Vision and Pattern Recognition 294
- Biomedical Engineering 221
Countries citing papers authored by Alessandro Marino
This map shows the geographic impact of Alessandro Marino'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 Alessandro Marino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Marino more than expected).
Fields of papers citing papers by Alessandro Marino
This network shows the impact of papers produced by Alessandro Marino. 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 Alessandro Marino. The network helps show where Alessandro Marino may publish in the future.
Co-authorship network of co-authors of Alessandro Marino
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Marino. A scholar is included among the top collaborators of Alessandro Marino 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 Alessandro Marino. Alessandro Marino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 55 | |
| 11 | 17 | |
| 12 | 33 | |
| 13 | 67 | |
| 14 | 48 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 27 | |
| 18 | 14 | |
| 19 | 53 | |
| 20 | 198 |
About Alessandro Marino
Alessandro Marino is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (38 papers), Robot Manipulation and Learning (27 papers) and Robotic Path Planning Algorithms (18 papers). The work is most often cited by research in Control and Systems Engineering (774 citations), Computer Networks and Communications (531 citations) and Computer Vision and Pattern Recognition (294 citations). Alessandro Marino has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Fabrizio Caccavale, Gianluca Antonelli, Filippo Arrichiello, Francesco Pierri, Pasquale Chiacchio, Martina Lippi, Luigi Villani, Lynne E. Parker, S. Chiaverini and Giuseppe Muscio. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.
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.