Michele Barsotti

1.4k total citations
28 papers, 955 citations indexed

About

Michele Barsotti is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Michele Barsotti has authored 28 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 17 papers in Biomedical Engineering and 13 papers in Rehabilitation. Recurrent topics in Michele Barsotti's work include EEG and Brain-Computer Interfaces (18 papers), Muscle activation and electromyography studies (16 papers) and Stroke Rehabilitation and Recovery (13 papers). Michele Barsotti is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Muscle activation and electromyography studies (16 papers) and Stroke Rehabilitation and Recovery (13 papers). Michele Barsotti collaborates with scholars based in Italy, Portugal and China. Michele Barsotti's co-authors include Antonio Frisoli, Massimo Bergamasco, Daniele Leonardis, Claudio Loconsole, Carmelo Chisari, Massimiliano Solazzi, Caterina Procopio, Giuseppe Lamola, Claudio Mazzotti and Marco Troncossi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Michele Barsotti

28 papers receiving 937 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 Barsotti Italy 16 550 540 357 199 189 28 955
Daniele Leonardis Italy 18 538 1.0× 725 1.3× 397 1.1× 166 0.8× 350 1.9× 29 1.2k
Chee Leong Teo Singapore 14 277 0.5× 457 0.8× 248 0.7× 201 1.0× 331 1.8× 36 909
Trieu Phat Luu United States 17 593 1.1× 487 0.9× 238 0.7× 207 1.0× 104 0.6× 42 976
Iolanda Pisotta Italy 15 737 1.3× 687 1.3× 478 1.3× 287 1.4× 93 0.5× 23 1.4k
Jer-Junn Luh Taiwan 15 582 1.1× 315 0.6× 211 0.6× 151 0.8× 72 0.4× 61 885
Zhen Gang Xiao Canada 16 872 1.6× 465 0.9× 217 0.6× 225 1.1× 200 1.1× 32 1.0k
Thomas Hoellinger Belgium 14 563 1.0× 677 1.3× 267 0.7× 172 0.9× 109 0.6× 26 1.2k
José González-Vargas Japan 19 888 1.6× 300 0.6× 350 1.0× 162 0.8× 42 0.2× 71 1.2k
José Zariffa Canada 22 483 0.9× 419 0.8× 439 1.2× 380 1.9× 141 0.7× 114 1.4k
Francisco J. Badesa Spain 16 409 0.7× 219 0.4× 391 1.1× 47 0.2× 88 0.5× 46 716

Countries citing papers authored by Michele Barsotti

Since Specialization
Citations

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

Fields of papers citing papers by Michele Barsotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Barsotti

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Barsotti. A scholar is included among the top collaborators of Michele Barsotti 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 Barsotti. Michele Barsotti 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
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2.
Frisoli, Antonio, Michele Barsotti, Edoardo Sotgiu, et al.. (2022). A randomized clinical control study on the efficacy of three-dimensional upper limb robotic exoskeleton training in chronic stroke. Journal of NeuroEngineering and Rehabilitation. 19(1). 14–14. 26 indexed citations
3.
Liberto, Giovanni M. Di, Michele Barsotti, Giovanni Vecchiato, et al.. (2021). Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving. Scientific Reports. 11(1). 23383–23383. 15 indexed citations
4.
Barsotti, Michele, et al.. (2021). A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting. Bioengineering. 8(2). 21–21. 12 indexed citations
5.
Xiloyannis, Michele, et al.. (2021). A soft, synergy-based robotic glove for grasping assistance. SHILAP Revista de lepidopterología. 2. e4–e4. 23 indexed citations
6.
Barsotti, Michele, et al.. (2020). ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs. CINECA IRIS Institutial research information system (University of Pisa). 5 indexed citations
7.
Cappello, Leonardo, et al.. (2020). Continuous supplementary tactile feedback can be applied (and then removed) to enhance precision manipulation. Journal of NeuroEngineering and Rehabilitation. 17(1). 120–120. 14 indexed citations
8.
Bortone, Ilaria, et al.. (2020). Immersive Virtual Environments and Wearable Haptic Devices in rehabilitation of children with neuromotor impairments: a single-blind randomized controlled crossover pilot study. Journal of NeuroEngineering and Rehabilitation. 17(1). 144–144. 48 indexed citations
9.
Missiroli, Francesco, Michele Barsotti, Daniele Leonardis, et al.. (2019). Haptic Stimulation for Improving Training of a Motor Imagery BCI Developed for a Hand-Exoskeleton in Rehabilitation. PubMed. 2019. 1127–1132. 12 indexed citations
10.
Barsotti, Michele, Yongqiang Li, Xiaoying Wu, et al.. (2019). Kinematic Synergy of Multi-DoF Movement in Upper Limb and Its Application for Rehabilitation Exoskeleton Motion Planning. Frontiers in Neurorobotics. 13. 99–99. 24 indexed citations
11.
Buongiorno, Domenico, et al.. (2019). An undercomplete autoencoder to extract muscle synergies for motor intention detection. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 1–8. 13 indexed citations
12.
Barsotti, Michele, et al.. (2018). Online Finger Control Using High-Density EMG and Minimal Training Data for Robotic Applications. IEEE Robotics and Automation Letters. 4(2). 217–223. 45 indexed citations
13.
14.
Barsotti, Michele, et al.. (2018). Upper Limb Joint Angular Velocity Synergies of Human Reaching Movements. 3 indexed citations
15.
Barsotti, Michele, Daniele Leonardis, Nicola Vanello, Massimo Bergamasco, & Antonio Frisoli. (2017). Effects of Continuous Kinaesthetic Feedback Based on Tendon Vibration on Motor Imagery BCI Performance. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(1). 105–114. 31 indexed citations
16.
Buongiorno, Domenico, Michele Barsotti, Edoardo Sotgiu, et al.. (2015). A neuromusculoskeletal model of the human upper limb for a myoelectric exoskeleton control using a reduced number of muscles. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 273–279. 18 indexed citations
17.
Frisoli, Antonio, et al.. (2014). Multisensory Feedback Can Enhance Embodiment Within an Enriched Virtual Walking Scenario. PRESENCE Virtual and Augmented Reality. 23(3). 253–266. 39 indexed citations
18.
Loconsole, Claudio, Daniele Leonardis, Michele Barsotti, et al.. (2013). An emg-based robotic hand exoskeleton for bilateral training of grasp. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 537–542. 27 indexed citations
19.
Frisoli, Antonio, et al.. (2012). A comparison of algorithms for motor imagery for BCI under different sensory feedback conditions. CINECA IRIS Institutial research information system (University of Pisa). 19. 1010–1015. 3 indexed citations
20.
Frisoli, Antonio, Claudio Loconsole, Daniele Leonardis, et al.. (2012). A New Gaze-BCI-Driven Control of an Upper Limb Exoskeleton for Rehabilitation in Real-World Tasks. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(6). 1169–1179. 164 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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