F.A. Mussa-Ivaldi

713 citations
13 papers · 490 indexed · h-index 8

Impact in

Papers in

F.A. Mussa-Ivaldi

13 papers receiving 470 citations

Peers

F.A. Mussa-Ivaldi
Comparison fields: 5 of 49
  • Cognitive Neuroscience 383
  • Physical Therapy, Sports Therapy and Rehabilitation 62
  • Biomedical Engineering 292
  • Rehabilitation 43
  • Neurology 49
Replace Mauro Carrozzo with:
Mauro Carrozzo Italy
S.F. Giszter United States
Marco Favilla Italy
Ronald Raymond Riso Denmark
Tomohiko Takei Japan
J. J. van der Gon Denier Netherlands
Jamie R. Lukos United States
Tomoko Aoki Japan
Christopher D. Mah United States
Max Berniker United States
F.A. Mussa-Ivaldi relative to Mauro Carrozzo Italy Mauro Carrozzo's profile →
Citations per field
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Mauro Carrozzo · 1×
Citations per year

Countries citing papers authored by F.A. Mussa-Ivaldi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 15 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.

Border = papers with F.A. Mussa-Ivaldi Line = papers co-authored together F.A. Mussa-Ivaldi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201225
2 201134
3 20091
4 20032
5 200235
6 20021
7 2002113
8 200239
9 20022
10 199111
11
Muscle properties and the control of arm movements
19908
12 1990215
13 19864

About F.A. Mussa-Ivaldi

F.A. Mussa-Ivaldi is a scholar working on Cognitive Neuroscience, Control and Systems Engineering, Rehabilitation, Biomedical Engineering and Orthopedics and Sports Medicine, having authored 13 papers that have together received 490 indexed citations. Recurring topics across this work include Motor Control and Adaptation (8 papers), Robot Manipulation and Learning (8 papers), Muscle activation and electromyography studies (6 papers), Tactile and Sensory Interactions (3 papers), Robotic Path Planning Algorithms (2 papers), Action Observation and Synchronization (2 papers), Modular Robots and Swarm Intelligence (1 paper) and Spinal Cord Injury Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (383 citations), Physical Therapy, Sports Therapy and Rehabilitation (62 citations), Biomedical Engineering (292 citations), Rehabilitation (43 citations) and Neurology (49 citations). F.A. Mussa-Ivaldi has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Tamar Flash, Amir Karniel, James L. Patton, Zachary C. Danziger, Simon F. Giszter, Assaf Pressman, Ayelet Fishbach, Emilio Bizzi, Maura Casadio and Pietro Morasso. Their work appears in journals such as Experimental Brain Research, Journal of Neuroscience, MIT Press eBooks and PubMed.

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.

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