Alessandro Scano

1.6k total citations
72 papers, 983 citations indexed

About

Alessandro Scano is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Alessandro Scano has authored 72 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Biomedical Engineering, 39 papers in Cognitive Neuroscience and 35 papers in Rehabilitation. Recurrent topics in Alessandro Scano's work include Muscle activation and electromyography studies (51 papers), Stroke Rehabilitation and Recovery (35 papers) and Motor Control and Adaptation (29 papers). Alessandro Scano is often cited by papers focused on Muscle activation and electromyography studies (51 papers), Stroke Rehabilitation and Recovery (35 papers) and Motor Control and Adaptation (29 papers). Alessandro Scano collaborates with scholars based in Italy, Switzerland and China. Alessandro Scano's co-authors include Lorenzo Molinari Tosatti, Franco Molteni, Andrea Chiavenna, Matteo Malosio, Henning Müller, Manfredo Atzori, Andrea d’Avella, Cristina Brambilla, Marco Caimmi and Alfonso Mastropietro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Alessandro Scano

69 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Scano Italy 19 652 462 407 107 95 72 983
Martina Coscia Italy 15 585 0.9× 473 1.0× 448 1.1× 111 1.0× 82 0.9× 32 964
Eleonora Guanziroli Italy 21 643 1.0× 337 0.7× 698 1.7× 194 1.8× 125 1.3× 58 1.2k
Е. V. Biryukova Russia 12 308 0.5× 355 0.8× 300 0.7× 107 1.0× 56 0.6× 27 730
Franco Molteni Italy 24 713 1.1× 428 0.9× 758 1.9× 223 2.1× 164 1.7× 62 1.5k
Jacopo Zenzeri Italy 16 309 0.5× 360 0.8× 223 0.5× 100 0.9× 145 1.5× 60 750
Antonio J. del‐Ama Spain 22 808 1.2× 259 0.6× 533 1.3× 196 1.8× 128 1.3× 74 1.4k
Steven K. Charles United States 16 636 1.0× 356 0.8× 482 1.2× 77 0.7× 56 0.6× 42 1.1k
Valentina Squeri Italy 21 399 0.6× 447 1.0× 545 1.3× 237 2.2× 149 1.6× 64 1.1k
Erika G. Spaich Denmark 15 486 0.7× 213 0.5× 177 0.4× 111 1.0× 210 2.2× 58 915
Valeriya Gritsenko United States 14 445 0.7× 443 1.0× 181 0.4× 80 0.7× 149 1.6× 27 754

Countries citing papers authored by Alessandro Scano

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Scano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandro Scano. 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 Alessandro Scano. The network helps show where Alessandro Scano may publish in the future.

Co-authorship network of co-authors of Alessandro Scano

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Scano. A scholar is included among the top collaborators of Alessandro Scano 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 Alessandro Scano. Alessandro Scano 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.
Brambilla, Cristina, Eleonora Guanziroli, Lorenzo Molinari Tosatti, et al.. (2025). On autoencoders for extracting muscle synergies: A study in highly variable upper limb movements. Biomedical Signal Processing and Control. 108. 107940–107940.
2.
Scano, Alessandro, et al.. (2025). Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients. Medical & Biological Engineering & Computing. 64(1). 135–146. 1 indexed citations
3.
Scano, Alessandro, et al.. (2024). How Recent Findings in Electromyographic Analysis and Synergistic Control Can Impact on New Directions for Muscle Synergy Assessment in Sports. Applied Sciences. 14(23). 11360–11360. 4 indexed citations
4.
Scano, Alessandro, Lorenzo Spinelli, Cristina Brambilla, et al.. (2024). A personalized clinical assessment: multi-sensor approach for understanding musculoskeletal health in the frail population. BioMedical Engineering OnLine. 23(1). 91–91. 3 indexed citations
5.
Scano, Alessandro, et al.. (2024). Influence of Backpack Carriage and Walking Speed on Muscle Synergies in Healthy Children. Bioengineering. 11(2). 173–173. 5 indexed citations
6.
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
7.
Scano, Alessandro, Rebecca Re, Ileana Pirovano, et al.. (2023). Non-Surgical Lower-Limb Rehabilitation Enhances Quadriceps Strength in Inpatients with Hip Fracture: A Study on Force Capacity and Fatigue. Applied Sciences. 13(11). 6855–6855. 2 indexed citations
8.
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
9.
10.
Brambilla, Cristina, Roberto Marani, Fabio Alexander Storm, et al.. (2023). Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis. Heliyon. 9(11). e21606–e21606. 6 indexed citations
11.
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
12.
Malosio, Matteo, et al.. (2022). The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training. PLoS ONE. 17(8). e0272813–e0272813. 12 indexed citations
13.
Wen, Haiying, et al.. (2022). Number of trials and data structure affect the number and components of muscle synergies in upper-limb reaching movements. Physiological Measurement. 43(10). 105008–105008. 8 indexed citations
14.
Wen, Haiying, et al.. (2022). Evaluation of Methods for the Extraction of Spatial Muscle Synergies. Frontiers in Neuroscience. 16. 732156–732156. 14 indexed citations
15.
Zhang, Zhisheng, et al.. (2021). Intra-Subject and Inter-Subject Movement Variability Quantified with Muscle Synergies in Upper-Limb Reaching Movements. Biomimetics. 6(4). 63–63. 27 indexed citations
16.
Porro, Matteo, Odoardo Picciolini, Matteo Malosio, et al.. (2021). What Children with Neuromotor Disabilities Need to Play with Technological Games. Applied Sciences. 11(21). 9886–9886. 4 indexed citations
17.
Scano, Alessandro, et al.. (2019). A Comprehensive Spatial Mapping of Muscle Synergies in Highly Variable Upper-Limb Movements of Healthy Subjects. Frontiers in Physiology. 10. 1231–1231. 62 indexed citations
18.
Caimmi, Marco, Andrea Chiavenna, Matteo Malosio, et al.. (2018). DUALarm: An open-source and 3D-printable device for upper limb neurorehabilitation. SHILAP Revista de lepidopterología. 5. 2480603877–2480603877. 3 indexed citations
19.
Scano, Alessandro, Andrea Chiavenna, Matteo Malosio, Lorenzo Molinari Tosatti, & Franco Molteni. (2017). Muscle Synergies-Based Characterization and Clustering of Poststroke Patients in Reaching Movements. Frontiers in Bioengineering and Biotechnology. 5. 62–62. 35 indexed citations
20.
Caimmi, Marco, Giulio Gasperini, Matteo Malosio, et al.. (2014). Using robotic rehabilitation in stroke patients with body scheme impairment. Annals of Physical and Rehabilitation Medicine. 57. e13–e13. 1 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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