Fabrício Lima Brasil

1.9k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Fabrício Lima Brasil is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Fabrício Lima Brasil has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 9 papers in Biomedical Engineering and 8 papers in Rehabilitation. Recurrent topics in Fabrício Lima Brasil's work include EEG and Brain-Computer Interfaces (12 papers), Stroke Rehabilitation and Recovery (8 papers) and Muscle activation and electromyography studies (8 papers). Fabrício Lima Brasil is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Stroke Rehabilitation and Recovery (8 papers) and Muscle activation and electromyography studies (8 papers). Fabrício Lima Brasil collaborates with scholars based in Brazil, Germany and United States. Fabrício Lima Brasil's co-authors include Niels Birbaumer, Giulia Liberati, Ander Ramos‐Murguialday, Doris Broetz, Woosang Cho, Marco Rocha Curado, Özge Yilmaz, Eliana García‐Cossio, Leonardo G. Cohen and Andrea Carìa and has published in prestigious journals such as PLoS ONE, Annals of Neurology and Scientific Reports.

In The Last Decade

Fabrício Lima Brasil

18 papers receiving 1.2k citations

Hit Papers

Brain–machine interface in chronic stroke rehabilitation:... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabrício Lima Brasil Brazil 11 987 542 499 362 116 19 1.3k
Floriana Pichiorri Italy 17 1.2k 1.2× 395 0.7× 512 1.0× 265 0.7× 137 1.2× 60 1.4k
Massimiliano Rea Italy 11 962 1.0× 565 1.0× 465 0.9× 422 1.2× 115 1.0× 16 1.5k
Iolanda Pisotta Italy 15 687 0.7× 737 1.4× 287 0.6× 478 1.3× 93 0.8× 23 1.4k
Solaiman Shokur Switzerland 15 933 0.9× 524 1.0× 642 1.3× 162 0.4× 128 1.1× 41 1.3k
Eduardo López‐Larraz Spain 16 725 0.7× 479 0.9× 418 0.8× 189 0.5× 114 1.0× 44 907
Christopher Wee Keong Kuah Singapore 16 1.2k 1.2× 602 1.1× 567 1.1× 585 1.6× 207 1.8× 35 1.7k
Woosang Cho United States 14 1.1k 1.1× 493 0.9× 559 1.1× 311 0.9× 126 1.1× 27 1.3k
Mads Jochumsen Denmark 21 1.2k 1.2× 695 1.3× 547 1.1× 193 0.5× 306 2.6× 85 1.6k
Ander Ramos Germany 7 741 0.8× 670 1.2× 466 0.9× 295 0.8× 101 0.9× 9 1.1k
William D. Memberg United States 19 944 1.0× 776 1.4× 803 1.6× 195 0.5× 69 0.6× 33 1.4k

Countries citing papers authored by Fabrício Lima Brasil

Since Specialization
Citations

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

Fields of papers citing papers by Fabrício Lima Brasil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabrício Lima Brasil. 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 Fabrício Lima Brasil. The network helps show where Fabrício Lima Brasil may publish in the future.

Co-authorship network of co-authors of Fabrício Lima Brasil

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrício Lima Brasil. A scholar is included among the top collaborators of Fabrício Lima Brasil 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 Fabrício Lima Brasil. Fabrício Lima Brasil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Geraci, Alessandra, et al.. (2025). Effects of early visual deprivation on face detection in premature newborns. Perception. 54(5). 349–361. 1 indexed citations
2.
Morya, Edgard, et al.. (2022). G-Exos: A wearable gait exoskeleton for walk assistance. Frontiers in Neurorobotics. 16. 939241–939241. 9 indexed citations
3.
Morya, Edgard, et al.. (2021). Development of a Low-Cost EEG-Controlled Hand Exoskeleton 3D Printed on Textiles. Frontiers in Neuroscience. 15. 661569–661569. 35 indexed citations
4.
Neto, Augusto, et al.. (2020). Predicting Epileptic Seizures: Case Studies Harnessing Machine Learning. 1–6. 3 indexed citations
5.
Ramos‐Murguialday, Ander, Marco Rocha Curado, Doris Broetz, et al.. (2019). Brain-Machine Interface in Chronic Stroke: Randomized Trial Long-Term Follow-up. Neurorehabilitation and neural repair. 33(3). 188–198. 82 indexed citations
6.
Brasil, Fabrício Lima, et al.. (2018). Neuronal Assemblies Evidence Distributed Interactions within a Tactile Discrimination Task in Rats. Frontiers in Neural Circuits. 11. 114–114. 10 indexed citations
7.
Morya, Edgard, et al.. (2017). High-Frequency EEG Variations in Children with Autism Spectrum Disorder during Human Faces Visualization. BioMed Research International. 2017. 1–11. 10 indexed citations
8.
Moioli, Renan C., et al.. (2017). Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke. Journal of Rehabilitation Medicine. 49(6). 449–460. 54 indexed citations
9.
Morya, Edgard, et al.. (2017). OBAT: An open-source and low-cost operant box for auditory discriminative tasks. Behavior Research Methods. 50(2). 816–825. 6 indexed citations
10.
Moioli, Renan C., Fabrício Lima Brasil, Nicola Secciani, et al.. (2017). SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid. Frontiers in Mechanical Engineering. 3. 34 indexed citations
11.
Brasil, Fabrício Lima, et al.. (2017). Auris System: Providing Vibrotactile Feedback for Hearing Impaired Population. BioMed Research International. 2017. 1–9. 13 indexed citations
12.
Donati, Ana R. C., Solaiman Shokur, Edgard Morya, et al.. (2016). Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients. Scientific Reports. 6(1). 30383–30383. 277 indexed citations
13.
Curado, Marco Rocha, Doris Broetz, Manuel Agostini, et al.. (2015). Residual Upper Arm Motor Function Primes Innervation of Paretic Forearm Muscles in Chronic Stroke after Brain-Machine Interface (BMI) Training. PLoS ONE. 10(10). e0140161–e0140161. 23 indexed citations
14.
Schwarz, Diemo, Solaiman Shokur, Renan C. Moioli, et al.. (2014). The walk again project: Brain-controlled exoskeleton locomotion.
15.
Brasil, Fabrício Lima, et al.. (2014). Limitations of principal component analysis as a method to detect neuronal assemblies. 24–30. 4 indexed citations
16.
Brasil, Fabrício Lima, Matthias Witkowski, Christian Cipriani, et al.. (2013). Controlling Assistive Machines in Paralysis Using Brain Waves and Other Biosignals. Advances in Human-Computer Interaction. 2013. 1–9. 13 indexed citations
17.
Ramos‐Murguialday, Ander, Doris Broetz, Massimiliano Rea, et al.. (2013). Brain–machine interface in chronic stroke rehabilitation: A controlled study. Annals of Neurology. 74(1). 100–108. 698 indexed citations breakdown →
18.
Yilmaz, Özge, Fabrício Lima Brasil, Marco Rocha Curado, et al.. (2013). Movement related cortical potentials change after EEG-BMI rehabilitation in chronic stroke. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 36. 73–76. 4 indexed citations
19.
Brasil, Fabrício Lima, Marco Rocha Curado, Manuel Agostini, et al.. (2012). MEP as predictor of motor recovery in chronic stroke patients after a 4-week daily physical therapy. Human Brain Mapping. 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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