Federico L. Moro
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Nikos G. TsagarakisDarwin G. CaldwellDaniele FontanelliLuigi PalopoliDavid MaciiNicola PedrocchiTullio TolioLorenzo Molinari Tosatti
- Topics
- Robotic Locomotion and Control (8 papers)Prosthetics and Rehabilitation Robotics (5 papers)Muscle activation and electromyography studies (5 papers)
- Partner nations
- ItalyGreeceUnited States
In The Last Decade
Federico L. Moro
15 papers receiving 313 citations
Peers
Comparison fields: 5 of 57
- Biomedical Engineering 144
- Control and Systems Engineering 110
- Aerospace Engineering 70
- Computer Vision and Pattern Recognition 60
- Electrical and Electronic Engineering 55
Countries citing papers authored by Federico L. Moro
This map shows the geographic impact of Federico L. Moro'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 L. Moro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico L. Moro more than expected).
Fields of papers citing papers by Federico L. Moro
This network shows the impact of papers produced by Federico L. Moro. 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 L. Moro. The network helps show where Federico L. Moro may publish in the future.
Co-authorship network of co-authors of Federico L. Moro
This figure shows the co-authorship network connecting the top 25 collaborators of Federico L. Moro. A scholar is included among the top collaborators of Federico L. Moro 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 L. Moro. Federico L. Moro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 48 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 54 | |
| 6 | 59 | |
| 7 | 11 | |
| 8 | 24 | |
| 9 | 42 | |
| 10 | 16 | |
| 11 | 5 | |
| 12 | 16 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 26 |
About Federico L. Moro
Federico L. Moro is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Automotive Engineering, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (8 papers), Prosthetics and Rehabilitation Robotics (5 papers) and Muscle activation and electromyography studies (5 papers). The work is most often cited by research in Control and Systems Engineering (110 citations), Human-Computer Interaction (18 citations) and Biomedical Engineering (144 citations). Federico L. Moro has collaborated with scholars based in Italy, Greece and United States. Frequent co-authors include Nikos G. Tsagarakis, Darwin G. Caldwell, Daniele Fontanelli, Luigi Palopoli, David Macii, Nicola Pedrocchi, Tullio Tolio, Lorenzo Molinari Tosatti, Stefania Pellegrinelli and Alexandre Tuleu. Their work appears in journals such as CIRP Annals, IEEE Transactions on Instrumentation and Measurement and Biological Cybernetics.
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.