Marco Bravi
- Biomedical Engineering top 10%
- Rehabilitation top 1%
- Surgery
- Cognitive Neuroscience top 10%
- Pharmacology top 10%
- Co-authors
- Silvia SterziSandra MiccinilliLoredana ZolloCarlo MassaroniEmiliano SchenaFederica BressiEugenio GuglielmelliDaniela Lo Presti
- Topics
- Stroke Rehabilitation and Recovery (22 papers)Muscle activation and electromyography studies (12 papers)Non-Invasive Vital Sign Monitoring (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Biomedical EngineeringSensors
- Partner nations
- ItalyUnited KingdomJapan
In The Last Decade
Marco Bravi
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Biomedical Engineering 442
- Rehabilitation 311
- Surgery 194
- Cognitive Neuroscience 180
- Pharmacology 114
Countries citing papers authored by Marco Bravi
This map shows the geographic impact of Marco Bravi'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 Marco Bravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Bravi more than expected).
Fields of papers citing papers by Marco Bravi
This network shows the impact of papers produced by Marco Bravi. 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 Marco Bravi. The network helps show where Marco Bravi may publish in the future.
Co-authorship network of co-authors of Marco Bravi
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Bravi. A scholar is included among the top collaborators of Marco Bravi 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 Marco Bravi. Marco Bravi 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 | 0 | |
| 4 | 4 | |
| 5 | 24 | |
| 6 | 31 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 14 | |
| 12 | 29 | |
| 13 | 18 | |
| 14 | 75 | |
| 15 | 34 | |
| 16 | 30 | |
| 17 | 2 | |
| 18 | 57 | |
| 19 | 17 | |
| 20 | Dynamic Process Modelling of a Cooling Crystallizer Using Locally Recurrent Neural Networks | 1 |
About Marco Bravi
Marco Bravi is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Orthopedics and Sports Medicine, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (22 papers), Muscle activation and electromyography studies (12 papers) and Non-Invasive Vital Sign Monitoring (10 papers). The work is most often cited by research in Rehabilitation (311 citations), Medical Laboratory Technology (23 citations) and Neurology (102 citations). Marco Bravi has collaborated with scholars based in Italy, United Kingdom and Japan. Frequent co-authors include Silvia Sterzi, Sandra Miccinilli, Loredana Zollo, Carlo Massaroni, Emiliano Schena, Federica Bressi, Eugenio Guglielmelli, Daniela Lo Presti, Fabio Santacaterina and Joshua Di Tocco. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and Sensors.
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.