Michele Canepa

575 total citations
22 papers, 326 citations indexed

About

Michele Canepa is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Michele Canepa has authored 22 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 15 papers in Cellular and Molecular Neuroscience and 14 papers in Cognitive Neuroscience. Recurrent topics in Michele Canepa's work include Muscle activation and electromyography studies (19 papers), Neuroscience and Neural Engineering (15 papers) and EEG and Brain-Computer Interfaces (13 papers). Michele Canepa is often cited by papers focused on Muscle activation and electromyography studies (19 papers), Neuroscience and Neural Engineering (15 papers) and EEG and Brain-Computer Interfaces (13 papers). Michele Canepa collaborates with scholars based in Italy, United States and Denmark. Michele Canepa's co-authors include Nicolò Boccardo, Matteo Laffranchi, Lorenzo De Michieli, Marianna Semprini, Emanuele Gruppioni, Lorenzo Lombardi, Jody A. Saglia, Abdeldjallil Naceri, Rinaldo Sacchetti and Giacinto Barresi and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Neurocomputing and Frontiers in Neuroscience.

In The Last Decade

Michele Canepa

19 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Canepa Italy 8 273 132 106 78 29 22 326
Nicolò Boccardo Italy 9 296 1.1× 148 1.1× 110 1.0× 78 1.0× 37 1.3× 33 358
Nicholas Cheng Singapore 7 270 1.0× 126 1.0× 51 0.5× 37 0.5× 27 0.9× 7 368
Alejandro Hernández Arieta Switzerland 9 202 0.7× 181 1.4× 63 0.6× 98 1.3× 38 1.3× 17 353
Guohong Chai China 12 572 2.1× 452 3.4× 269 2.5× 69 0.9× 39 1.3× 31 726
Kathryn J. De Laurentis United States 8 177 0.6× 101 0.8× 56 0.5× 87 1.1× 82 2.8× 13 395
Harold H. Sears United States 5 248 0.9× 157 1.2× 107 1.0× 56 0.7× 21 0.7× 11 277
Alicia J. Davis United States 10 375 1.4× 214 1.6× 276 2.6× 22 0.3× 17 0.6× 19 459
Risto Kõiva Germany 12 430 1.6× 335 2.5× 61 0.6× 121 1.6× 72 2.5× 23 534
Lingqing Yan United States 6 336 1.2× 124 0.9× 41 0.4× 46 0.6× 20 0.7× 10 428
Ali Shafti United Kingdom 13 208 0.8× 86 0.7× 21 0.2× 70 0.9× 69 2.4× 25 369

Countries citing papers authored by Michele Canepa

Since Specialization
Citations

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

Fields of papers citing papers by Michele Canepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Canepa

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Canepa. A scholar is included among the top collaborators of Michele Canepa 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 Michele Canepa. Michele Canepa 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.
Campbell, Evan, Ulysse Côté‐Allard, Patrick M. Pilarski, et al.. (2025). (Un)supervised (Co)adaptation via Incremental Learning for Myoelectric Control: Motivation, Review, and Future Directions. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 3565–3582.
2.
Canepa, Michele, et al.. (2025). Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control. Frontiers in Neuroscience. 19. 1655257–1655257. 2 indexed citations
3.
Marinelli, Andrea, Michele Canepa, Matteo Laffranchi, et al.. (2025). Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements. Scientific Data. 12(1). 233–233. 1 indexed citations
4.
Boccardo, Nicolò, et al.. (2024). Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning. IEEE Robotics and Automation Letters. 9(11). 9938–9945. 8 indexed citations
5.
Marinelli, Andrea, Nicolò Boccardo, Michele Canepa, et al.. (2024). A compact solution for vibrotactile proprioceptive feedback of wrist rotation and hand aperture. Journal of NeuroEngineering and Rehabilitation. 21(1). 142–142. 1 indexed citations
6.
Boccardo, Nicolò, et al.. (2024). Identification of the Most Significant Tactile Sensing Pressure Points Towards Biomimetic Sensory Prosthetic Design. CINECA IRIS Institutial Research Information System (University of Genoa). 364–369. 1 indexed citations
7.
Boccardo, Nicolò, Michele Canepa, Marianna Semprini, et al.. (2023). A Novel Method for Vibrotactile Proprioceptive Feedback Using Spatial Encoding and Gaussian Interpolation. IEEE Transactions on Biomedical Engineering. 70(12). 3354–3365. 9 indexed citations
8.
Boccardo, Nicolò, Michele Canepa, Lorenzo Lombardi, et al.. (2023). Development of a 2-DoFs Actuated Wrist for Enhancing the Dexterity of Myoelectric Hands. IEEE Transactions on Medical Robotics and Bionics. 6(1). 257–270. 7 indexed citations
9.
Boccardo, Nicolò, et al.. (2023). Object stiffness recognition and vibratory feedback without ad-hoc sensing on the Hannes prosthesis: A machine learning approach. Frontiers in Neuroscience. 17. 1078846–1078846. 4 indexed citations
10.
Canepa, Michele, Emanuele Gruppioni, Matteo Laffranchi, et al.. (2023). A comparative optimization procedure to evaluate pattern recognition algorithms on hannes prosthesis. Neurocomputing. 569. 127123–127123. 2 indexed citations
11.
Boccardo, Nicolò, et al.. (2023). IMU Sensors Measurements Towards the Development of Novel Prosthetic Arm Control Strategies. 1–6. 2 indexed citations
12.
13.
14.
Boccardo, Nicolò, Giacinto Barresi, Michele Canepa, et al.. (2022). Benefits of the Cybathlon 2020 experience for a prosthetic hand user: a case study on the Hannes system. Journal of NeuroEngineering and Rehabilitation. 19(1). 68–68. 2 indexed citations
15.
Boccardo, Nicolò, Michele Canepa, Giuseppina Gini, et al.. (2022). Active upper limb prostheses: a review on current state and upcoming breakthroughs. PubMed. 5(1). 12001–12001. 48 indexed citations
16.
Boccardo, Nicolò, Marianna Semprini, Michele Canepa, et al.. (2021). Miniature EMG Sensors for Prosthetic Applications. CINECA IRIS Institutial Research Information System (University of Genoa). 1022–1025. 12 indexed citations
17.
Boccardo, Nicolò, Marianna Semprini, Lorenzo Lombardi, et al.. (2021). Hannes Prosthesis Control Based on Regression Machine Learning Algorithms. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5997–6002. 16 indexed citations
18.
Laffranchi, Matteo, Nicolò Boccardo, Lorenzo Lombardi, et al.. (2020). The Hannes hand prosthesis replicates the key biological properties of the human hand. Science Robotics. 5(46). 154 indexed citations
19.
Semprini, Marianna, Michele Canepa, Lorenzo Lombardi, et al.. (2020). Performance Evaluation of Pattern Recognition Algorithms for Upper Limb Prosthetic Applications. CINECA IRIS Institutial Research Information System (University of Genoa). 471–476. 9 indexed citations
20.
Cataldi, Pietro, Francesco Bonaccorso, Antonio Esaú Del Río Castillo, et al.. (2016). Cellulosic Graphene Biocomposites for Versatile High‐Performance Flexible Electronic Applications. Advanced Electronic Materials. 2(11). 41 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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