F.A. Mussa Ivaldi
Impact in
- Cognitive Neuroscience top 5%
- Motor Control and Adaptation
- Tactile and Sensory Interactions
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Balance, Gait, and Falls Prevention
Papers in
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- Robot Manipulation and Learning 2
- Robotic Mechanisms and Dynamics 1
- Human Motion and Animation 1
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- Motor Control and Adaptation 3
- Co-authors
- Pietro Morasso (3 shared papers)Renato Zaccaria (1 shared paper)C. Ruggiero (1 shared paper)P. Morasso (2 shared papers)Gabriella Casalino (1 shared paper)D. De Rossi (1 shared paper)Carlos Ruggiero (1 shared paper)
- Journals
- Biological Cybernetics (2 papers)Acta Psychologica (1 paper)Behavioural Brain Research (1 paper)Neural Networks (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
F.A. Mussa Ivaldi
5 papers receiving 393 citations
Peers
Comparison fields: 5 of 49
- Cognitive Neuroscience 298
- Physical Therapy, Sports Therapy and Rehabilitation 45
- Human-Computer Interaction 30
- Social Psychology 102
- Control and Systems Engineering 110
Countries citing papers authored by F.A. Mussa Ivaldi
This map shows the geographic impact of F.A. Mussa Ivaldi'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 F.A. Mussa Ivaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.A. Mussa Ivaldi more than expected).
Fields of papers citing papers by F.A. Mussa Ivaldi
This network shows the impact of papers produced by F.A. Mussa Ivaldi. 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 F.A. Mussa Ivaldi. The network helps show where F.A. Mussa Ivaldi may publish in the future.
Co-authors
The 7 scholars most cited alongside F.A. Mussa Ivaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 210 | |
| 2 | 1988 | 158 | |
| 3 | 1983 | 36 | |
| 4 | 1988 | 1 | |
| 5 | 1982 | 1 |
About F.A. Mussa Ivaldi
F.A. Mussa Ivaldi is a scholar working on Control and Systems Engineering, Cognitive Neuroscience, Social Psychology, Pediatrics, Perinatology and Child Health and Human-Computer Interaction, having authored 5 papers that have together received 406 indexed citations. Recurring topics across this work include Motor Control and Adaptation (3 papers), Robot Manipulation and Learning (2 papers), Hand Gesture Recognition Systems (1 paper), Cognitive and developmental aspects of mathematical skills (1 paper), Robotic Mechanisms and Dynamics (1 paper), Infant Development and Preterm Care (1 paper), Human Motion and Animation (1 paper) and Action Observation and Synchronization (1 paper). The work is most often cited by research in Cognitive Neuroscience (298 citations), Physical Therapy, Sports Therapy and Rehabilitation (45 citations), Human-Computer Interaction (30 citations), Social Psychology (102 citations) and Control and Systems Engineering (110 citations). F.A. Mussa Ivaldi has collaborated with scholars based in Italy and United States. Frequent co-authors include Pietro Morasso, Renato Zaccaria, C. Ruggiero, P. Morasso, Gabriella Casalino, D. De Rossi and Carlos Ruggiero. Their work appears in journals such as Biological Cybernetics, Acta Psychologica, Behavioural Brain Research and Neural Networks.
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.