Andrea d’Avella

11.1k total citations · 5 hit papers
110 papers, 7.8k citations indexed

About

Andrea d’Avella is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Social Psychology. According to data from OpenAlex, Andrea d’Avella has authored 110 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Cognitive Neuroscience, 77 papers in Biomedical Engineering and 20 papers in Social Psychology. Recurrent topics in Andrea d’Avella's work include Motor Control and Adaptation (77 papers), Muscle activation and electromyography studies (68 papers) and Action Observation and Synchronization (20 papers). Andrea d’Avella is often cited by papers focused on Motor Control and Adaptation (77 papers), Muscle activation and electromyography studies (68 papers) and Action Observation and Synchronization (20 papers). Andrea d’Avella collaborates with scholars based in Italy, United States and Germany. Andrea d’Avella's co-authors include Emilio Bizzi, Philippe Saltiel, Matthew C. Tresch, Francesco Lacquaniti, Vincent C. K. Cheung, Alessandro Portone, Laure Fernandez, Yuri P. Ivanenko, Simon A. Overduin and Denise Berger and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Andrea d’Avella

103 papers receiving 7.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combinations of muscle synergies in the construction of a natural motor behavior

2003 967 citations Andrea d’Avella et al. profile →
Matrix Factorization Algorithms for the Identification of Muscle Synergies: Evaluation on Simulated and Experimental Data Sets

2006 588 citations Andrea d’Avella et al. Journal of Neurophysiology profile →
Control of Fast-Reaching Movements by Muscle Synergy Combinations

2006 539 citations Andrea d’Avella, Alessandro Portone et al. profile →
Shared and specific muscle synergies in natural motor behaviors

2005 514 citations Andrea d’Avella et al. profile →
Locomotor Primitives in Newborn Babies and Their Development

2011 482 citations Yuri P. Ivanenko, Andrea d’Avella et al. profile →

Peers

Andrea d’Avella

PTSTR

REHAB

Anatol G. Feldman Canada

Alan M. Wing United Kingdom

Dagmar Sternad United States

Ferdinando A. Mussa-Ivaldi United States

Lena H. Ting United States

Theodore E. Milner Canada

Pietro Morasso Italy

Yuri P. Ivanenko Italy

Robert L. Sainburg United States

Amy J. Bastian United States

Anatol G. Feldman Canada

Andrea d’Avella

5.6k ×1.0

4.0k ×0.7

1.5k ×1.0

PTSTR

1.6k ×1.5

1.2k ×1.2

REHAB

Citations per year, relative to Andrea d’Avella Andrea d’Avella (= 1×) peers Anatol G. Feldman

Countries citing papers authored by Andrea d’Avella

Since Specialization

Citations

This map shows the geographic impact of Andrea d’Avella'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 Andrea d’Avella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea d’Avella more than expected).

Fields of papers citing papers by Andrea d’Avella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea d’Avella. 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 Andrea d’Avella. The network helps show where Andrea d’Avella may publish in the future.

Co-authorship network of co-authors of Andrea d’Avella

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

All Works

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20 of 20 papers shown

Pasquale, Paolo De, Cristiano De Marchis, Daniele Borzelli, et al.. (2025). Implementation of the sensory organization test with the CAREN system: a pilot study. Frontiers in Bioengineering and Biotechnology. 13. 1635514–1635514.

Berger, Denise, et al.. (2025). Changes in muscle synergy structure and activation patterns underlie force field adaptation, retention, and generalization. Journal of Neurophysiology. 134(6). 2047–2069.

Berger, Denise & Andrea d’Avella. (2024). Myoelectric control and virtual reality to enhance motor rehabilitation after stroke. Frontiers in Bioengineering and Biotechnology. 12. 1376000–1376000. 4 indexed citations

Borzelli, Daniele, Cristiano De Marchis, Paolo De Pasquale, et al.. (2024). Muscle Synergy Analysis as a Tool for Assessing the Effectiveness of Gait Rehabilitation Therapies: A Methodological Review and Perspective. Bioengineering. 11(8). 793–793. 10 indexed citations

Eden, Jonathan, Denise Berger, Daniele Borzelli, et al.. (2024). Control limitations in the null-space of the wrist muscle system. Scientific Reports. 14(1). 20634–20634. 2 indexed citations

Baldi, Tommaso Lisini, et al.. (2024). Exploiting body redundancy to control supernumerary robotic limbs in human augmentation. The International Journal of Robotics Research. 44(2). 291–316. 1 indexed citations

Russo, Marta, Alessandro Scano, Cristina Brambilla, & Andrea d’Avella. (2024). SynergyAnalyzer: A Matlab toolbox implementing mixed-matrix factorization to identify kinematic-muscular synergies. Computer Methods and Programs in Biomedicine. 251. 108217–108217. 9 indexed citations

Zhang, Zhisheng, Haiying Wen, Bin Liu, et al.. (2023). Muscle synergies for evaluating upper limb in clinical applications: A systematic review. Heliyon. 9(5). e16202–e16202. 29 indexed citations

Berger, Denise & Andrea d’Avella. (2023). Exposure to an incompatible virtual surgery impacts the null space components of the muscle patterns after re-adaptation but not the task performance *. PubMed. 8. 1–4. 1 indexed citations

10.

Maggio, Maria Grazia, Demetrio Milardi, Daniele Borzelli, et al.. (2023). Do patients with neurological disorders benefit from immersive virtual reality? A scoping review on the emerging use of the computer-assisted rehabilitation environment. European Journal of Physical and Rehabilitation Medicine. 60(1). 37–43. 17 indexed citations

11.

Baldi, Tommaso Lisini, et al.. (2023). Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control. Use Siena air (University of Siena). 11957–11963. 4 indexed citations

12.

Borzelli, Daniele, et al.. (2023). Use of Surface Electromyography to Estimate End-Point Force in Redundant Systems: Comparison between Linear Approaches. Bioengineering. 10(2). 234–234. 7 indexed citations

13.

Berger, Denise, Daniele Borzelli, & Andrea d’Avella. (2022). Task space exploration improves adaptation after incompatible virtual surgeries. Journal of Neurophysiology. 127(4). 1127–1146. 17 indexed citations

14.

Scano, Alessandro, et al.. (2022). Mixed matrix factorization: a novel algorithm for the extraction of kinematic-muscular synergies. Journal of Neurophysiology. 127(2). 529–547. 33 indexed citations

15.

Borzelli, Daniele, Paolo De Pasquale, Denise Berger, et al.. (2022). Simultaneous control of natural and extra degrees of freedom by isometric force and electromyographic activity in the muscle-to-force null space. Journal of Neural Engineering. 19(1). 16004–16004. 18 indexed citations

16.

Maselli, Antonella, et al.. (2021). A Hessian-based decomposition characterizes how performance in complex motor skills depends on individual strategy and variability. PLoS ONE. 16(6). e0253626–e0253626. 5 indexed citations

17.

Acri, Giuseppe, Lilla Bonanno, F. Caridi, et al.. (2021). Effect of MRgFUS treatment on cortical activity in Parkinson's disease: a fNIRS study. SHILAP Revista de lepidopterología.

18.

Sylos‐Labini, Francesca, Andrea d’Avella, Francesco Lacquaniti, & Yuri P. Ivanenko. (2018). Human-Human Interaction Forces and Interlimb Coordination During Side-by-Side Walking With Hand Contact. Frontiers in Physiology. 9. 179–179. 37 indexed citations

19.

d’Avella, Andrea. (2016). Integration of robotics and neuroscience beyond the hand: What kind of synergies?. Physics of Life Reviews. 17. 33–35. 1 indexed citations

20.

Cesqui, Benedetta, Andrea d’Avella, Alessandro Portone, & Francesco Lacquaniti. (2012). Catching a Ball at the Right Time and Place: Individual Factors Matter. PLoS ONE. 7(2). e31770–e31770. 46 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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