Fabio Stroppa
Impact in
- Health Informatics top 10%
- Emergency Medicine top 10%
- Cardiac Arrest and Resuscitation
Papers in
-
- Muscle activation and electromyography studies 4
- Soft Robotics and Applications 4
-
- Robot Manipulation and Learning 3
- Co-authors
- Claudio Loconsole (6 shared papers)Mehmet Ünal (1 shared paper)Mahsa Rezaei (1 shared paper)Mahshid Dehghan (1 shared paper)Arash Heidari (1 shared paper)Nima Jafari Navimipour (1 shared paper)Sarina Aminizadeh (1 shared paper)Shiva Toumaj (1 shared paper)
- Journals
- Robotica (2 papers)Resuscitation (2 papers)Robotics (1 paper)Artificial Intelligence in Medicine (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- TürkiyeItalyUnited States
In The Last Decade
Fabio Stroppa
19 papers receiving 273 citations
Fabio Stroppa's Hit Papers
Peers
Comparison fields: 5 of 83
- Health Informatics 14
- Emergency Medicine 46
- Rehabilitation 14
- Computer Vision and Pattern Recognition 47
- Biomedical Engineering 89
Countries citing papers authored by Fabio Stroppa
This map shows the geographic impact of Fabio Stroppa'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 Fabio Stroppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Stroppa more than expected).
Fields of papers citing papers by Fabio Stroppa
This network shows the impact of papers produced by Fabio Stroppa. 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 Fabio Stroppa. The network helps show where Fabio Stroppa may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Stroppa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service Hit paper breakdown → | 2024 | 115 |
| 2 | 2017 | 57 | |
| 3 | 2014 | 39 | |
| 4 | 2023 | 14 | |
| 5 | 2016 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2017 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2018 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Fabio Stroppa
Fabio Stroppa is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Rehabilitation and Artificial Intelligence, having authored 21 papers that have together received 288 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (4 papers), Modular Robots and Swarm Intelligence (4 papers), Soft Robotics and Applications (4 papers), Robot Manipulation and Learning (3 papers), Stroke Rehabilitation and Recovery (3 papers), Evolutionary Algorithms and Applications (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Health Informatics (14 citations), Emergency Medicine (46 citations), Rehabilitation (14 citations), Computer Vision and Pattern Recognition (47 citations) and Biomedical Engineering (89 citations). Fabio Stroppa has collaborated with scholars based in Türkiye, Italy and United States. Frequent co-authors include Claudio Loconsole, Mehmet Ünal, Mahsa Rezaei, Mahshid Dehghan, Arash Heidari, Nima Jafari Navimipour, Sarina Aminizadeh, Shiva Toumaj, Antonio Frisoli and Federico Semeraro. Their work appears in journals such as Robotica, Resuscitation, Robotics, Artificial Intelligence in Medicine and Engineering Applications of Artificial Intelligence.
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.