Claudio Pizzolato

2.7k total citations
75 papers, 1.7k citations indexed

About

Claudio Pizzolato is a scholar working on Biomedical Engineering, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, Claudio Pizzolato has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Biomedical Engineering, 25 papers in Surgery and 21 papers in Orthopedics and Sports Medicine. Recurrent topics in Claudio Pizzolato's work include Muscle activation and electromyography studies (56 papers), Prosthetics and Rehabilitation Robotics (16 papers) and Sports injuries and prevention (15 papers). Claudio Pizzolato is often cited by papers focused on Muscle activation and electromyography studies (56 papers), Prosthetics and Rehabilitation Robotics (16 papers) and Sports injuries and prevention (15 papers). Claudio Pizzolato collaborates with scholars based in Australia, Italy and New Zealand. Claudio Pizzolato's co-authors include David G. Lloyd, Monica Reggiani, Laura E. Diamond, Massimo Sartori, David J. Saxby, Elena Ceseracciu, Thor F. Besier, Christopher P. Carty, Daniel Devaprakash and Hoa Hoang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Claudio Pizzolato

71 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Pizzolato Australia 23 1.3k 534 467 336 184 75 1.7k
Matthew S. DeMers United States 8 1.5k 1.1× 607 1.1× 483 1.0× 214 0.6× 135 0.7× 8 2.0k
Luca Modenese United Kingdom 26 1.4k 1.1× 895 1.7× 513 1.1× 190 0.6× 113 0.6× 57 2.0k
Christopher L. Dembia United States 12 1.7k 1.3× 319 0.6× 426 0.9× 260 0.8× 233 1.3× 14 2.1k
Uwe G. Kersting Denmark 23 1.1k 0.8× 311 0.6× 902 1.9× 250 0.7× 116 0.6× 124 1.8k
Jeffrey A. Reinbolt United States 18 820 0.6× 414 0.8× 285 0.6× 136 0.4× 83 0.5× 49 1.2k
Michael Damsgaard Denmark 17 1.4k 1.1× 808 1.5× 433 0.9× 255 0.8× 137 0.7× 55 2.2k
Samuel R. Hamner United States 12 1.5k 1.2× 278 0.5× 654 1.4× 269 0.8× 130 0.7× 12 2.1k
Michael B. Pohl United States 26 1.8k 1.3× 599 1.1× 1.3k 2.7× 154 0.5× 640 3.5× 39 2.8k
H. John Yack United States 27 1.4k 1.1× 799 1.5× 886 1.9× 221 0.7× 183 1.0× 56 2.5k
D. Gordon E. Robertson Canada 17 945 0.7× 358 0.7× 692 1.5× 210 0.6× 84 0.5× 41 1.6k

Countries citing papers authored by Claudio Pizzolato

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Pizzolato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Pizzolato

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Pizzolato. A scholar is included among the top collaborators of Claudio Pizzolato 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 Claudio Pizzolato. Claudio Pizzolato 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.
Worsey, Matthew, et al.. (2025). Improving Calibration of EMG-Informed Neuromusculoskeletal Models Through Differentiable Physics and Muscle Synergies. IEEE Transactions on Biomedical Engineering. 72(12). 3453–3463. 1 indexed citations
2.
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.
3.
Pizzolato, Claudio, et al.. (2024). Hip contact forces can be predicted with a neural network using only synthesised key points and electromyography in people with hip osteoarthritis. Osteoarthritis and Cartilage. 32(6). 730–739. 4 indexed citations
4.
Diamond, Laura E., et al.. (2024). Real-Time Calibration-Free Musculotendon Kinematics for Neuromusculoskeletal Models. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3486–3495. 1 indexed citations
5.
Pizzolato, Claudio, et al.. (2024). Benchmark and validation of state-of-the-art muscle recruitment strategies in shoulder modelling. Multibody System Dynamics. 64(1). 105–120. 2 indexed citations
6.
Devaprakash, Daniel, et al.. (2024). Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2070–2077. 3 indexed citations
7.
Saxby, David J., et al.. (2024). A PHYSICS-INFORMED NEURAL NETWORK CAN ACCURATELY ESTIMATE HIP CONTACT FORCES. Osteoarthritis and Cartilage. 32. S66–S67. 1 indexed citations
8.
Rabbi, Mohammad Fazle, Giorgio Davico, David G. Lloyd, et al.. (2024). Muscle synergy-informed neuromusculoskeletal modelling to estimate knee contact forces in children with cerebral palsy. Biomechanics and Modeling in Mechanobiology. 23(3). 1077–1090. 3 indexed citations
9.
Diamond, Laura E., et al.. (2024). Joint contact forces during semi-recumbent seated cycling. Journal of Biomechanics. 168. 112094–112094. 2 indexed citations
10.
Devaprakash, Daniel, et al.. (2023). Predicting Free Achilles Tendon Strain From Motion Capture Data Using Artificial Intelligence. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 3086–3094. 3 indexed citations
11.
Davico, Giorgio, David G. Lloyd, Christopher P. Carty, et al.. (2022). Multi-level personalization of neuromusculoskeletal models to estimate physiologically plausible knee joint contact forces in children. Biomechanics and Modeling in Mechanobiology. 21(6). 1873–1886. 23 indexed citations
12.
Devaprakash, Daniel, David Graham, Rod Barrett, et al.. (2022). Free Achilles tendon strain during selected rehabilitation, locomotor, jumping, and landing tasks. Journal of Applied Physiology. 132(4). 956–965. 16 indexed citations
13.
Hall, Michelle, Rana S. Hinman, Laura E. Diamond, et al.. (2021). Valgus knee bracing for medial knee osteoarthritis and varus malalignment: a pilot study. Osteoarthritis and Cartilage. 29. S173–S174.
14.
Diamond, Laura E., Claudio Pizzolato, Bryce A. Killen, et al.. (2020). Development and validation of statistical shape models of the primary functional bone segments of the foot. PeerJ. 8. e8397–e8397. 34 indexed citations
15.
Devaprakash, Daniel, Steven J. Obst, David G. Lloyd, et al.. (2020). The Free Achilles Tendon Is Shorter, Stiffer, Has Larger Cross-Sectional Area and Longer T2* Relaxation Time in Trained Middle-Distance Runners Compared to Healthy Controls. Frontiers in Physiology. 11. 965–965. 17 indexed citations
16.
Devaprakash, Daniel, David G. Lloyd, Rod Barrett, et al.. (2019). Magnetic Resonance Imaging and Freehand 3-D Ultrasound Provide Similar Estimates of Free Achilles Tendon Shape and 3-D Geometry. Ultrasound in Medicine & Biology. 45(11). 2898–2905. 18 indexed citations
17.
Davico, Giorgio, et al.. (2019). Best methods and data to reconstruct paediatric lower limb bones for musculoskeletal modelling. Biomechanics and Modeling in Mechanobiology. 19(4). 1225–1238. 26 indexed citations
18.
Pizzolato, Claudio, David J. Saxby, Laura E. Diamond, et al.. (2019). Neuromusculoskeletal Modeling-Based Prostheses for Recovery After Spinal Cord Injury. Frontiers in Neurorobotics. 13. 97–97. 40 indexed citations
19.
Hall, Michelle, et al.. (2018). Immediate effects of valgus knee bracing on tibiofemoral contact forces and knee muscle forces. Gait & Posture. 68. 55–62. 22 indexed citations
20.
Evans, Kerrie, et al.. (2017). KINEMATICS OF THE AXIAL SKELETON DURING ONE-MAN RUGBY UNION SCRUMS. Griffith Research Online (Griffith University, Queensland, Australia). 35(1). 168. 2 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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Rankless by CCL
2026