Carmelo Chisari

2.9k total citations
65 papers, 1.9k citations indexed

About

Carmelo Chisari is a scholar working on Cognitive Neuroscience, Rehabilitation and Neurology. According to data from OpenAlex, Carmelo Chisari has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 24 papers in Rehabilitation and 20 papers in Neurology. Recurrent topics in Carmelo Chisari's work include Stroke Rehabilitation and Recovery (24 papers), EEG and Brain-Computer Interfaces (22 papers) and Muscle activation and electromyography studies (14 papers). Carmelo Chisari is often cited by papers focused on Stroke Rehabilitation and Recovery (24 papers), EEG and Brain-Computer Interfaces (22 papers) and Muscle activation and electromyography studies (14 papers). Carmelo Chisari collaborates with scholars based in Italy, Switzerland and United States. Carmelo Chisari's co-authors include Silvestro Micera, Federica Bertolucci, Chiara Fanciullacci, Fiorenzo Artoni, Antonio Frisoli, Massimo Bergamasco, Giuseppe Lamola, Bruno Rossi, Michele Barsotti and Alessandro Panarese and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Carmelo Chisari

61 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmelo Chisari Italy 23 902 729 709 340 289 65 1.9k
Doris Broetz Germany 15 1.1k 1.3× 530 0.7× 511 0.7× 488 1.4× 191 0.7× 22 1.6k
Jayme S. Knutson United States 19 575 0.6× 1.0k 1.4× 790 1.1× 389 1.1× 301 1.0× 49 1.6k
Sheng Li United States 28 566 0.6× 816 1.1× 833 1.2× 185 0.5× 359 1.2× 128 2.3k
Philippe Vuadens Switzerland 20 549 0.6× 293 0.4× 571 0.8× 262 0.8× 153 0.5× 45 1.6k
Xiaoling Hu Hong Kong 28 898 1.0× 1.7k 2.4× 1.6k 2.3× 200 0.6× 191 0.7× 109 2.7k
John A. Buford United States 24 804 0.9× 565 0.8× 227 0.3× 272 0.8× 411 1.4× 47 1.7k
Christopher Wee Keong Kuah Singapore 16 1.2k 1.4× 602 0.8× 585 0.8× 567 1.7× 140 0.5× 35 1.7k
Nuray Yozbatıran United States 20 510 0.6× 466 0.6× 983 1.4× 193 0.6× 379 1.3× 40 1.8k
Iolanda Pisotta Italy 15 687 0.8× 737 1.0× 478 0.7× 287 0.8× 106 0.4× 23 1.4k
Yoshihisa Masakado Japan 25 804 0.9× 775 1.1× 510 0.7× 323 0.9× 531 1.8× 116 1.8k

Countries citing papers authored by Carmelo Chisari

Since Specialization
Citations

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

Fields of papers citing papers by Carmelo Chisari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmelo Chisari

This figure shows the co-authorship network connecting the top 25 collaborators of Carmelo Chisari. A scholar is included among the top collaborators of Carmelo Chisari 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 Carmelo Chisari. Carmelo Chisari 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.
2.
Viglialoro, Rosanna Maria, et al.. (2025). Dataset on Gait Analysis of Parkinsonian Subjects: Effect of Nordic Walking. Scientific Data. 12(1). 1937–1937.
3.
Leo, Fabrizio, et al.. (2024). Long-Term Management of Post-Stroke Spasticity with Botulinum Toxin: A Retrospective Study. Toxins. 16(9). 383–383. 2 indexed citations
4.
Dalise, Stefania, et al.. (2024). Restoration of grasping in an upper limb amputee using the myokinetic prosthesis with implanted magnets. Science Robotics. 9(94). eadp3260–eadp3260. 9 indexed citations
5.
Lamola, Giuseppe, et al.. (2024). The Effect of Proprioceptive Insoles on Gait Kinematics in Healthy Participants. JPO Journal of Prosthetics and Orthotics. 36(4). 273–280.
6.
Dalise, Stefania, et al.. (2024). Neurovisual Training With Acoustic Feedback: An Innovative Approach for Nystagmus Rehabilitation. SHILAP Revista de lepidopterología. 6(4). 100371–100371.
7.
Artoni, Fiorenzo, et al.. (2023). Cortico-muscular connectivity is modulated by passive and active Lokomat-assisted Gait. Scientific Reports. 13(1). 21618–21618. 2 indexed citations
8.
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
9.
Fanciullacci, Chiara, Alessandro Panarese, Alberto Mazzoni, et al.. (2021). Connectivity Measures Differentiate Cortical and Subcortical Sub-Acute Ischemic Stroke Patients. Frontiers in Human Neuroscience. 15. 669915–669915. 19 indexed citations
10.
Fanciullacci, Chiara, Giuseppe Lamola, Giada Lettieri, et al.. (2020). Predictive value of electroencephalography connectivity measures for motor training outcome in multiple sclerosis: an observational longitudinal study. European Journal of Physical and Rehabilitation Medicine. 55(6). 743–753. 6 indexed citations
11.
Iolascon, Giovanni, Michele Vitacca, Elena Carraro, et al.. (2019). Adapted physical activity and therapeutic exercise in late-onset Pompe disease (LOPD): a two-step rehabilitative approach. Neurological Sciences. 41(4). 859–868. 8 indexed citations
12.
Bertolucci, Federica, Giuseppe Lamola, Chiara Fanciullacci, et al.. (2018). EEG predicts upper limb motor improvement after robotic rehabilitation in chronic stroke patients. Annals of Physical and Rehabilitation Medicine. 61. e200–e201. 1 indexed citations
13.
Oddo, Calogero Maria, et al.. (2018). Bilateral cortical representation of tactile roughness. Brain Research. 1699. 79–88. 21 indexed citations
14.
Oddo, Calogero Maria, Chiara Fanciullacci, Carmelo Chisari, et al.. (2017). Spatiotemporal Dynamics of the Cortical Responses Induced by a Prolonged Tactile Stimulation of the Human Fingertips. Brain Topography. 30(4). 473–485. 28 indexed citations
15.
Alia, Claudia, Cristina Spalletti, Stefano Lai, et al.. (2017). Neuroplastic Changes Following Brain Ischemia and their Contribution to Stroke Recovery: Novel Approaches in Neurorehabilitation. Frontiers in Cellular Neuroscience. 11. 76–76. 168 indexed citations
16.
Unti, Elisa, Daniela Frosini, Ubaldo Bonuccelli, et al.. (2017). Gait dynamics in Pisa syndrome and Camptocormia: The role of stride length and hip kinematics. Gait & Posture. 57. 130–135. 21 indexed citations
17.
Artoni, Fiorenzo, Chiara Fanciullacci, Federica Bertolucci, et al.. (2017). Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking. NeuroImage. 159. 403–416. 146 indexed citations
18.
Chisari, Carmelo, Chiara Fanciullacci, & Giuseppe Lamola. (2015). NIBS-driven brain plasticity. ARCHIVES ITALIENNES DE BIOLOGIE. 152(4). 247–58. 23 indexed citations
19.
Chisari, Carmelo, et al.. (2014). Benefits of an intensive task-oriented circuit training in Multiple Sclerosis patients with mild disability. Neurorehabilitation. 35(3). 509–518. 25 indexed citations
20.
Frisoli, Antonio, Edoardo Sotgiu, Caterina Procopio, et al.. (2011). Design and implementation of a training strategy in chronic stroke with an arm robotic exoskeleton. PubMed. 196. 1–8. 21 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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