Francesca Lunardini
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Psychiatry and Mental health
- Social Psychology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Simona FerranteAlessandra PedrocchiClaudia CasellatoTerence D. SangerN. Alberto BorgheseMatteo BertuccoNicola BasilicoAndrea d’Avella
- Topics
- Muscle activation and electromyography studies (10 papers)Motor Control and Adaptation (8 papers)Dementia and Cognitive Impairment Research (7 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesca Lunardini
42 papers receiving 501 citations
Peers
Comparison fields: 5 of 104
- Cognitive Neuroscience 150
- Biomedical Engineering 121
- Psychiatry and Mental health 80
- Social Psychology 74
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Francesca Lunardini
This map shows the geographic impact of Francesca Lunardini'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 Francesca Lunardini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Lunardini more than expected).
Fields of papers citing papers by Francesca Lunardini
This network shows the impact of papers produced by Francesca Lunardini. 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 Francesca Lunardini. The network helps show where Francesca Lunardini may publish in the future.
Co-authorship network of co-authors of Francesca Lunardini
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Lunardini. A scholar is included among the top collaborators of Francesca Lunardini 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 Francesca Lunardini. Francesca Lunardini 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 32 | |
| 7 | 30 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 14 | |
| 11 | 17 | |
| 12 | 27 | |
| 13 | 26 | |
| 14 | 7 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | 53 | |
| 18 | 20 | |
| 19 | 4 | |
| 20 | 15 |
About Francesca Lunardini
Francesca Lunardini is a scholar working on Neuropsychology and Physiological Psychology, Human Factors and Ergonomics and Psychiatry and Mental health, having authored 45 papers that have together received 510 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (10 papers), Motor Control and Adaptation (8 papers) and Dementia and Cognitive Impairment Research (7 papers). The work is most often cited by research in Cognitive Neuroscience (150 citations), Rehabilitation (47 citations) and Human Factors and Ergonomics (14 citations). Francesca Lunardini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Simona Ferrante, Alessandra Pedrocchi, Claudia Casellato, Terence D. Sanger, N. Alberto Borghese, Matteo Bertucco, Nicola Basilico, Andrea d’Avella, Matteo Luperto and Cristiano Termine. Their work appears in journals such as Scientific Reports, Computers in Human Behavior and Journal of Autism and Developmental Disorders.
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.