Alessandra Pedrocchi
- Biomedical Engineering top 1%
- Cognitive Neuroscience top 1%
- Rehabilitation top 0.2%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Co-authors
- Giancarlo FerrignoSimona FerranteMarta GandollaEmilia AmbrosiniClaudia CasellatoEgidio D’AngeloAlberto AntoniettiEmilia Biffi
- Topics
- Muscle activation and electromyography studies (97 papers)Stroke Rehabilitation and Recovery (71 papers)EEG and Brain-Computer Interfaces (41 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Alessandra Pedrocchi
215 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Biomedical Engineering 1.9k
- Cognitive Neuroscience 1.5k
- Rehabilitation 1.1k
- Cellular and Molecular Neuroscience 736
- Neurology 600
Countries citing papers authored by Alessandra Pedrocchi
This map shows the geographic impact of Alessandra Pedrocchi'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 Alessandra Pedrocchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra Pedrocchi more than expected).
Fields of papers citing papers by Alessandra Pedrocchi
This network shows the impact of papers produced by Alessandra Pedrocchi. 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 Alessandra Pedrocchi. The network helps show where Alessandra Pedrocchi may publish in the future.
Co-authorship network of co-authors of Alessandra Pedrocchi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Pedrocchi. A scholar is included among the top collaborators of Alessandra Pedrocchi 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 Alessandra Pedrocchi. Alessandra Pedrocchi 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 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 33 | |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 20 | |
| 13 | 11 | |
| 14 | 20 | |
| 15 | 15 | |
| 16 | 186 | |
| 17 | Intra-Articular Cytokine Levels in Adolescent Patients after Anterior Cruciate Ligament Tearbreakdown → | 204 |
| 18 | 41 | |
| 19 | 104 | |
| 20 | Cycling induced by functional electrical stimulation improves the muscularstrength and the motor control of individuals with post-acute stroke. | 41 |
About Alessandra Pedrocchi
Alessandra Pedrocchi is a scholar working on Rehabilitation, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 233 papers that have together received 4.5k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (97 papers), Stroke Rehabilitation and Recovery (71 papers) and EEG and Brain-Computer Interfaces (41 papers). The work is most often cited by research in Rehabilitation (1.1k citations), Cognitive Neuroscience (1.5k citations) and Physical Therapy, Sports Therapy and Rehabilitation (328 citations). Alessandra Pedrocchi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giancarlo Ferrigno, Simona Ferrante, Marta Gandolla, Emilia Ambrosini, Claudia Casellato, Egidio D’Angelo, Alberto Antonietti, Emilia Biffi, Franco Molteni and Marco Bigoni. Their work appears in journals such as Nature Communications, Neuron and Journal of Clinical Oncology.
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.