Fabrizio Schiano
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Co-authors
- Dario FloreanoKonrad RudinPaul BeardsleyRoland SiegwartGiuseppe LoiannoJavier Alonso–MoraChristopher ReardonTomi Westerlund
- Topics
- Robotic Path Planning Algorithms (6 papers)Distributed Control Multi-Agent Systems (4 papers)Robotics and Sensor-Based Localization (4 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Fabrizio Schiano
12 papers receiving 342 citations
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 176
- Computer Networks and Communications 141
- Computer Vision and Pattern Recognition 135
- Control and Systems Engineering 67
- Mechanical Engineering 55
Countries citing papers authored by Fabrizio Schiano
This map shows the geographic impact of Fabrizio Schiano'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 Fabrizio Schiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Schiano more than expected).
Fields of papers citing papers by Fabrizio Schiano
This network shows the impact of papers produced by Fabrizio Schiano. 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 Fabrizio Schiano. The network helps show where Fabrizio Schiano may publish in the future.
Co-authorship network of co-authors of Fabrizio Schiano
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Schiano. A scholar is included among the top collaborators of Fabrizio Schiano 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 Fabrizio Schiano. Fabrizio Schiano 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 | 17 | |
| 3 | 18 | |
| 4 | 27 | |
| 5 | 1 | |
| 6 | 41 | |
| 7 | 41 | |
| 8 | 16 | |
| 9 | 110 | |
| 10 | Vision-based flocking in outdoor environments. | 1 |
| 11 | 23 | |
| 12 | 13 | |
| 13 | 49 |
About Fabrizio Schiano
Fabrizio Schiano is a scholar working on Human-Computer Interaction, Developmental Biology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Distributed Control Multi-Agent Systems (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Aerospace Engineering (176 citations), Computer Vision and Pattern Recognition (135 citations) and Computer Networks and Communications (141 citations). Fabrizio Schiano has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Dario Floreano, Konrad Rudin, Paul Beardsley, Roland Siegwart, Giuseppe Loianno, Javier Alonso–Mora, Christopher Reardon, Tomi Westerlund, Jorge Peña Queralta and Qingqing Li. Their work appears in journals such as IEEE Access, Science Robotics and IEEE Robotics and Automation Letters.
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.