Federico Augugliaro
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Co-authors
- Raffaello D’AndreaAngela P. SchoelligFabio GramazioMatthias KöhlerJan WillmannMarkus WaibelAngela SchölligSergei Lupashin
- Topics
- Control and Dynamics of Mobile Robots (3 papers)Robotic Path Planning Algorithms (3 papers)Modular Robots and Swarm Intelligence (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Journals
- IEEE Robotics & Automation MagazineInternational Journal of Architectural ComputingRepository for Publications and Research Data (ETH Zurich)
- Partner nations
- Switzerland
In The Last Decade
Federico Augugliaro
9 papers receiving 553 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 327
- Aerospace Engineering 239
- Control and Systems Engineering 204
- Computer Networks and Communications 149
- Mechanical Engineering 111
Countries citing papers authored by Federico Augugliaro
This map shows the geographic impact of Federico Augugliaro'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 Federico Augugliaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Augugliaro more than expected).
Fields of papers citing papers by Federico Augugliaro
This network shows the impact of papers produced by Federico Augugliaro. 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 Federico Augugliaro. The network helps show where Federico Augugliaro may publish in the future.
Co-authorship network of co-authors of Federico Augugliaro
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Augugliaro. A scholar is included among the top collaborators of Federico Augugliaro 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 Federico Augugliaro. Federico Augugliaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 13 | |
| 3 | 18 | |
| 4 | 80 | |
| 5 | 21 | |
| 6 | 60 | |
| 7 | 219 | |
| 8 | 102 | |
| 9 | 33 |
About Federico Augugliaro
Federico Augugliaro is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Building and Construction, having authored 9 papers that have together received 574 indexed citations. Recurring topics across this work include Control and Dynamics of Mobile Robots (3 papers), Robotic Path Planning Algorithms (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (327 citations), Aerospace Engineering (239 citations) and Control and Systems Engineering (204 citations). Federico Augugliaro has collaborated with scholars based in Switzerland. Frequent co-authors include Raffaello D’Andrea, Angela P. Schoellig, Fabio Gramazio, Matthias Köhler, Jan Willmann, Markus Waibel, Angela Schöllig, Sergei Lupashin, Maximilian Schulz and Robin Ritz. Their work appears in journals such as IEEE Robotics & Automation Magazine, International Journal of Architectural Computing and Repository for Publications and Research Data (ETH Zurich).
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.