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Features
Assistant
AI grounded in research
Search
Full-text citation search
Collections
Organize and monitor papers
All Features →
Integrations
MCP
Connect AI agents to Scite
API
Programmatic data access
Holdings
Full-text via your library
Zotero Plugin
Citation data in Zotero
Browser Extension
Citation badges anywhere
All Integrations →
Data
Rankings
Pricing
Log In
Start Free Trial
Lucia Rita Quitadamo
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53
Publications
711
Citation Statements Received
2,085
Citation Statements Given
How they've been cited
1,153
10
700
1
How they cite others
1,844
45
2,039
1
Affiliations
University of Rome Tor Vergata
,
Fondazione Santa Lucia
Publications
Order By: Most citations
Resistive flex sensors: a survey
Saggio
1
,
Riillo
2
,
Sbernini
3
et al.
2015
Smart Mater. Struct.
Abstract
Show
182
2
89
0
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Cite
On ERPs detection in disorders of consciousness rehabilitation
Risetti
1
,
Formisano
2
,
Toppi
3
et al.
2013
Front. Hum. Neurosci.
Abstract
Show
106
4
89
0
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Cite
Performance measurement for brain–computer or brain–machine interfaces: a tutorial
Quitadamo
1
,
Mainardi
2
,
Laghari
3
et al.
2014
J. Neural Eng.
Abstract
Show
88
0
80
0
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Cite
Optimization of EMG-based hand gesture recognition: Supervised vs. unsupervised data preprocessing on healthy subjects and transradial amputees
Riillo
1
,
Quitadamo
2
,
Cavrini
3
et al.
2014
Biomedical Signal Processing and Control
Abstract
Show
101
1
65
0
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Cite
Support vector machines to detect physiological patterns for EEG and EMG-based human–computer interaction: a review
Quitadamo
1
,
Cavrini
2
,
Sbernini
3
et al.
2017
J. Neural Eng.
Abstract
Show
135
0
57
0
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Cite
Which Physiological Components are More Suitable for Visual ERP Based Brain–Computer Interface? A Preliminary MEG/EEG Study
Bianchi
1
,
Sami
2
,
Hillebrand
3
et al.
2010
Brain Topogr
Abstract
Show
87
2
48
1
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Add to collection
Cite
Performances Evaluation and Optimization of Brain Computer Interface Systems in a Copy Spelling Task
Bianchi
1
,
Quitadamo
2
,
Garreffa
3
et al.
2007
IEEE Trans. Neural Syst. Rehabil. Eng.
Abstract
Show
55
0
45
0
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Cite
Kurtosis-Based Detection of Intracranial High-Frequency Oscillations for the Identification of the Seizure Onset Zone
Quitadamo
1
,
Mai
2
,
Gozzo
3
et al.
2018
Int. J. Neur. Syst.
Abstract
Show
35
0
24
0
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Cite
1
2
3
4
5