Ferdinando A. Mussa-Ivaldi

10.0k total citations
151 papers, 7.1k citations indexed

About

Ferdinando A. Mussa-Ivaldi is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Social Psychology. According to data from OpenAlex, Ferdinando A. Mussa-Ivaldi has authored 151 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Cognitive Neuroscience, 86 papers in Biomedical Engineering and 32 papers in Social Psychology. Recurrent topics in Ferdinando A. Mussa-Ivaldi's work include Motor Control and Adaptation (104 papers), Muscle activation and electromyography studies (77 papers) and EEG and Brain-Computer Interfaces (41 papers). Ferdinando A. Mussa-Ivaldi is often cited by papers focused on Motor Control and Adaptation (104 papers), Muscle activation and electromyography studies (77 papers) and EEG and Brain-Computer Interfaces (41 papers). Ferdinando A. Mussa-Ivaldi collaborates with scholars based in United States, Italy and Israel. Ferdinando A. Mussa-Ivaldi's co-authors include Emilio Bizzi, Simon F. Giszter, James L. Patton, Robert A. Scheidt, Michael A. Conditt, F. Gandolfo, Jonathan B. Dingwell, Amir Karniel, S.F. Giszter and Mark Kovic and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Ferdinando A. Mussa-Ivaldi

150 papers receiving 6.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ferdinando A. Mussa-Ivaldi United States 41 5.5k 3.7k 1.5k 1.0k 851 151 7.1k
Theodore E. Milner Canada 42 4.1k 0.8× 4.1k 1.1× 818 0.5× 855 0.8× 1.0k 1.2× 103 6.3k
Tamar Flash Israel 47 7.2k 1.3× 4.7k 1.3× 2.3k 1.5× 553 0.5× 1.2k 1.4× 127 11.0k
Marco Santello United States 35 3.7k 0.7× 3.6k 1.0× 839 0.5× 416 0.4× 299 0.4× 152 5.7k
Pietro Morasso Italy 44 5.3k 1.0× 3.7k 1.0× 1.2k 0.8× 1.1k 1.1× 2.5k 3.0× 235 9.0k
Alan M. Wing United Kingdom 50 6.6k 1.2× 2.5k 0.7× 1.9k 1.2× 815 0.8× 1.6k 1.9× 208 9.0k
Dagmar Sternad United States 40 3.8k 0.7× 2.5k 0.7× 1.5k 1.0× 544 0.5× 1.5k 1.8× 167 6.2k
David W. Franklin Germany 51 4.7k 0.8× 4.3k 1.2× 1.4k 0.9× 347 0.3× 939 1.1× 148 8.6k
John F. Soechting United States 50 6.8k 1.2× 3.6k 1.0× 1.5k 1.0× 281 0.3× 909 1.1× 129 8.4k
J. Randall Flanagan Canada 53 10.9k 2.0× 4.6k 1.2× 4.3k 2.8× 388 0.4× 877 1.0× 140 12.9k
G. Westling Sweden 23 5.3k 1.0× 3.7k 1.0× 993 0.6× 298 0.3× 401 0.5× 29 6.4k

Countries citing papers authored by Ferdinando A. Mussa-Ivaldi

Since Specialization
Citations

This map shows the geographic impact of Ferdinando 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 Ferdinando 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 Ferdinando A. Mussa-Ivaldi more than expected).

Fields of papers citing papers by Ferdinando A. Mussa-Ivaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ferdinando 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 Ferdinando A. Mussa-Ivaldi. The network helps show where Ferdinando A. Mussa-Ivaldi may publish in the future.

Co-authorship network of co-authors of Ferdinando A. Mussa-Ivaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinando A. Mussa-Ivaldi. A scholar is included among the top collaborators of Ferdinando A. Mussa-Ivaldi 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 Ferdinando A. Mussa-Ivaldi. Ferdinando A. Mussa-Ivaldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Casadio, Maura, et al.. (2023). Learning to operate a high-dimensional hand via a low-dimensional controller. Frontiers in Bioengineering and Biotechnology. 11. 1139405–1139405. 3 indexed citations
3.
Triandafilou, Kristen M., Alexander J. Barry, Mary Ellen Stoykov, et al.. (2019). Development of an EMG-Controlled Serious Game for Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(2). 283–292. 47 indexed citations
4.
Avraham, Guy, et al.. (2018). Neglect-Like Effects on Drawing Symmetry Induced by Adaptation to a Laterally Asymmetric Visuomotor Delay. Frontiers in Human Neuroscience. 12. 335–335. 4 indexed citations
5.
Seáñez, Ismael, Camilla Pierella, Ali Farshchiansadegh, et al.. (2016). Static Versus Dynamic Decoding Algorithms in a Non-Invasive Body–Machine Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(7). 893–905. 8 indexed citations
6.
Semprini, Marianna, et al.. (2011). Dynamic brain-machine interface: A novel paradigm for bidirectional interaction between brains and dynamical systems. PubMed. 13. 4592–4595. 7 indexed citations
7.
Chib, Vikram S., Matthew A. Krutky, Kevin Lynch, & Ferdinando A. Mussa-Ivaldi. (2009). The Separate Neural Control of Hand Movements and Contact Forces. Journal of Neuroscience. 29(12). 3939–3947. 53 indexed citations
8.
Danziger, Zachary C., Ayelet Fishbach, & Ferdinando A. Mussa-Ivaldi. (2008). Adapting human-machine interfaces to user performance. PubMed. 74. 4486–4490. 2 indexed citations
9.
Fishbach, Ayelet & Ferdinando A. Mussa-Ivaldi. (2008). Seeing versus Believing: Conflicting Immediate and Predicted Feedback Lead to Suboptimal Motor Performance. Journal of Neuroscience. 28(52). 14140–14146. 2 indexed citations
10.
Chib, Vikram S., Matthew A. Krutky, Kevin G. Lynch, & Ferdinando A. Mussa-Ivaldi. (2007). The Nervous System Independently Controls Motion and Force. 2 indexed citations
11.
Sha, Daohang, James L. Patton, & Ferdinando A. Mussa-Ivaldi. (2006). MINIMUM JERK REACHING MOVEMENTS OF HUMAN ARM WITH MECHANICAL CONSTRAINTS AT ENDPOINT. 7. 41. 17 indexed citations
12.
Patton, James L., Mark Kovic, & Ferdinando A. Mussa-Ivaldi. (2006). Custom-designed haptic training for restoring reaching ability. The Journal of Rehabilitation Research and Development. 43(5). 643–643. 78 indexed citations
13.
Karniel, Amir, et al.. (2005). Computational analysisin vitro: dynamics and plasticity of a neuro-robotic system. Journal of Neural Engineering. 2(3). S250–S265. 18 indexed citations
14.
Mussa-Ivaldi, Ferdinando A.. (2003). Brain–machine interfaces: computational demands and clinical needs meet basic neuroscience. Trends in Neurosciences. 26(6). 329–334. 124 indexed citations
15.
Patton, James L., Ferdinando A. Mussa-Ivaldi, & William Z. Rymer. (2001). Altering movement patterns in healthy and brain-injured subjects via custom designed robotic forces. Defense Technical Information Center (DTIC). 2. 1356–1359. 4 indexed citations
16.
Mussa-Ivaldi, Ferdinando A.. (1998). Geometrical principles in motor control. MIT Press eBooks. 434–438. 5 indexed citations
17.
McIntyre, Joseph, Ferdinando A. Mussa-Ivaldi, & Emilio Bizzi. (1996). The control of stable postures in the multijoint arm. Experimental Brain Research. 110(2). 248–64. 118 indexed citations
18.
Bizzi, Emilio & Ferdinando A. Mussa-Ivaldi. (1995). Toward a neurobiology of coordinate transformations. 69(8-9). 502–7. 16 indexed citations
19.
Shadmehr, Reza & Ferdinando A. Mussa-Ivaldi. (1993). Computational Elements of the Adaptive Controller of the Human Arm. Neural Information Processing Systems. 6. 1077–1084. 4 indexed citations
20.
Bizzi, Emilio, Neville Hogan, Ferdinando A. Mussa-Ivaldi, & Simon F. Giszter. (1992). The equilibrium-point framework: A point of departure. Behavioral and Brain Sciences. 15(4). 808–815. 9 indexed citations

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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