Massimo Sartori

6.1k total citations
126 papers, 3.9k citations indexed

About

Massimo Sartori is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Massimo Sartori has authored 126 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Biomedical Engineering, 37 papers in Cognitive Neuroscience and 28 papers in Rehabilitation. Recurrent topics in Massimo Sartori's work include Muscle activation and electromyography studies (89 papers), Prosthetics and Rehabilitation Robotics (50 papers) and Motor Control and Adaptation (29 papers). Massimo Sartori is often cited by papers focused on Muscle activation and electromyography studies (89 papers), Prosthetics and Rehabilitation Robotics (50 papers) and Motor Control and Adaptation (29 papers). Massimo Sartori collaborates with scholars based in Netherlands, Italy and Germany. Massimo Sartori's co-authors include Dario Farina, David G. Lloyd, Monica Reggiani, Guillaume Durandau, Claudio Pizzolato, Thor F. Besier, Benjamin J. Fregly, Strahinja Došen, Emanuele Albano and Francesco Negro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Massimo Sartori

123 papers receiving 3.9k citations

Peers

Massimo Sartori
Ann M. Simon United States
Zong‐Ming Li United States
Vu Le United States
Claudia Mazzà United Kingdom
Rong Song China
Ann M. Simon United States
Massimo Sartori
Citations per year, relative to Massimo Sartori Massimo Sartori (= 1×) peers Ann M. Simon

Countries citing papers authored by Massimo Sartori

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Sartori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Sartori

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Sartori. A scholar is included among the top collaborators of Massimo Sartori 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 Massimo Sartori. Massimo Sartori 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.
Sartori, Massimo, et al.. (2025). CEINMS-RT: An Open-Source Framework for the Continuous Neuro-Mechanical Model-Based Control of Wearable Robots. IEEE Transactions on Medical Robotics and Bionics. 8(1). 405–417.
2.
González-Vargas, José, Guillaume Durandau, Johan S. Rietman, et al.. (2025). A Bionic Foot Controlled by a Synergy-Driven Neuromechanical Model Enables Walking at Various Speeds in Socket-Suspended and Bone-Anchored Prosthesis Users. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 4534–4545. 1 indexed citations
3.
Asseldonk, Edwin van, et al.. (2024). Personalized Alpha-Motoneuron Pool Models Driven by Neural Data Encode the Mechanisms Controlling Rate of Force Development. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3699–3709. 1 indexed citations
4.
Yavuz, Utku Ş., et al.. (2023). Characterization of Motor Unit Firing and Twitch Properties for Decoding Musculoskeletal Force in the Human Ankle Joint In Vivo. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4040–4050. 7 indexed citations
5.
Sartori, Massimo, et al.. (2023). Person-Specific Biophysical Modeling of Alpha-Motoneuron Pools Driven by in vivo Decoded Neural Synaptic Input. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1532–1541. 9 indexed citations
6.
Wang, Huawei, et al.. (2023). Tapping Into Skeletal Muscle Biomechanics for Design and Control of Lower Limb Exoskeletons: A Narrative Review. Journal of Applied Biomechanics. 39(5). 318–333. 6 indexed citations
7.
Fang, Cheng, Luka Peternel, Ajay Seth, et al.. (2023). Human Modeling in Physical Human-Robot Interaction: A Brief Survey. IEEE Robotics and Automation Letters. 8(9). 5799–5806. 12 indexed citations
8.
Durandau, Guillaume, et al.. (2022). Neuromechanical Model-Based Adaptive Control of Bilateral Ankle Exoskeletons: Biological Joint Torque and Electromyogram Reduction Across Walking Conditions. IEEE Transactions on Robotics. 38(3). 1380–1394. 50 indexed citations
9.
Valette, R., et al.. (2022). A review of user needs to drive the development of lower limb prostheses. Journal of NeuroEngineering and Rehabilitation. 19(1). 119–119. 40 indexed citations
11.
Ajoudani, Arash, Matteo Bianchi, Andrea Cherubini, et al.. (2020). Smart Collaborative Systems for Enabling Flexible and Ergonomic Work Practices [Industry Activities]. IEEE Robotics & Automation Magazine. 27(2). 169–176. 41 indexed citations
12.
Lotti, Nicola, Michele Xiloyannis, Guillaume Durandau, et al.. (2020). Adaptive Model-Based Myoelectric Control for a Soft Wearable Arm Exosuit: A New Generation of Wearable Robot Control. IEEE Robotics & Automation Magazine. 27(1). 43–53. 107 indexed citations
13.
Ajoudani, Arash, A Philipp, Matteo Bianchi, et al.. (2020). Smart Collaborative Systems for Enabling Flexible and Ergonomic Work Practices. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
14.
Sartori, Massimo, et al.. (2019). Estimation of Phantom Arm Mechanics About Four Degrees of Freedom After Targeted Muscle Reinnervation. IEEE Transactions on Medical Robotics and Bionics. 1(1). 58–64. 16 indexed citations
15.
Sartori, Massimo, Guillaume Durandau, Strahinja Došen, & Dario Farina. (2018). Robust simultaneous myoelectric control of multiple degrees of freedom in wrist-hand prostheses by real-time neuromusculoskeletal modeling. Journal of Neural Engineering. 15(6). 66026–66026. 104 indexed citations
16.
Durandau, Guillaume, Dario Farina, & Massimo Sartori. (2017). Robust Real-Time Musculoskeletal Modeling Driven by Electromyograms. IEEE Transactions on Biomedical Engineering. 65(3). 556–564. 111 indexed citations
17.
Farina, Dario, Ivan Vujaklija, Massimo Sartori, et al.. (2017). Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation. Nature Biomedical Engineering. 1(2). 270 indexed citations
18.
Boldorini, Renzo, Alessia Paganotti, Silvano Andorno, et al.. (2015). A multistep cytological approach for patients with jaundice and biliary strictures of indeterminate origin. Journal of Clinical Pathology. 68(4). 283–287. 20 indexed citations
19.
Sartori, Massimo, Monica Reggiani, David G. Lloyd, & Enrico Pagello. (2010). An EMG-driven musculoskeletal model of the human lower limb for the estimation of muscle forces and moments at the hip, knee and ankle joints in vivo. Research Padua Archive (University of Padua). 137–146. 7 indexed citations
20.
Sartori, Massimo, et al.. (2009). A lower limb EMG-driven biomechanical model for applications in rehabilitation robotics. Research Padua Archive (University of Padua). 1–7. 11 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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