Angela Riccio

1.8k total citations
36 papers, 1.4k citations indexed

About

Angela Riccio is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Angela Riccio has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Human-Computer Interaction. Recurrent topics in Angela Riccio's work include EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (14 papers) and Gaze Tracking and Assistive Technology (10 papers). Angela Riccio is often cited by papers focused on EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (14 papers) and Gaze Tracking and Assistive Technology (10 papers). Angela Riccio collaborates with scholars based in Italy, Germany and United Kingdom. Angela Riccio's co-authors include Donatella Mattia, Febo Cincotti, Andrea Kübler, Luca Simione, Claudia Zickler, Francesca Schettini, Marta Olivetti Belardinelli, Evert-Jan Hoogerwerf, Elisa Mira Holz and Lorenzo Desideri and has published in prestigious journals such as PLoS ONE, Archives of Physical Medicine and Rehabilitation and Glia.

In The Last Decade

Angela Riccio

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Riccio Italy 18 1.0k 654 304 142 137 36 1.4k
Nicola Neumann Germany 23 2.0k 1.9× 1.0k 1.5× 348 1.1× 181 1.3× 66 0.5× 44 2.3k
Rupert Ortner Austria 18 1.2k 1.2× 686 1.0× 278 0.9× 55 0.4× 99 0.7× 56 1.4k
Günter Edlinger Austria 15 1.4k 1.3× 615 0.9× 170 0.6× 44 0.3× 45 0.3× 40 1.5k
Gunther Krausz Austria 13 1.7k 1.6× 908 1.4× 321 1.1× 76 0.5× 42 0.3× 20 1.8k
Stefano Silvoni Italy 15 1.5k 1.4× 607 0.9× 216 0.7× 46 0.3× 67 0.5× 34 1.8k
Elisa Mira Holz Germany 13 1.4k 1.3× 545 0.8× 248 0.8× 145 1.0× 15 0.1× 19 1.5k
Floriana Pichiorri Italy 17 1.2k 1.1× 512 0.8× 137 0.5× 31 0.2× 40 0.3× 60 1.4k
Ivo Käthner Germany 13 888 0.9× 333 0.5× 312 1.0× 140 1.0× 27 0.2× 26 1.3k
Sherry Vorbach United States 11 1.6k 1.6× 457 0.7× 60 0.2× 83 0.6× 34 0.2× 13 1.9k
Jürgen Mellinger Germany 17 2.5k 2.4× 1.4k 2.2× 482 1.6× 89 0.6× 35 0.3× 22 2.6k

Countries citing papers authored by Angela Riccio

Since Specialization
Citations

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

Fields of papers citing papers by Angela Riccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Riccio

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Riccio. A scholar is included among the top collaborators of Angela Riccio 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 Angela Riccio. Angela Riccio 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.
Toppi, Jlenia, Angela Riccio, Mariagrazia D’Ippolito, et al.. (2024). EEG-Derived Markers to Improve Prognostic Evaluation of Disorders of Consciousness. IEEE Journal of Biomedical and Health Informatics. 28(11). 6674–6684.
2.
Pichiorri, Floriana, et al.. (2024). Brain and muscle derived features to discriminate simple hand motor tasks for a rehabilitative BCI: comparative study on healthy and post-stroke individuals. Journal of Neural Engineering. 21(6). 66015–66015. 3 indexed citations
3.
4.
Morone, Giovanni, et al.. (2024). A Scoping Review of Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke: Are We Really Targeting Severe Impairment?. Journal of Clinical Medicine. 13(18). 5414–5414. 2 indexed citations
5.
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D’Ippolito, Mariagrazia, Francesca Schettini, Pietro Aricò, et al.. (2022). EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review. Frontiers in Human Neuroscience. 16. 1040816–1040816. 19 indexed citations
8.
Riccio, Angela, Francesca Schettini, Luca Simione, et al.. (2018). On the Relationship Between Attention Processing and P300-Based Brain Computer Interface Control in Amyotrophic Lateral Sclerosis. Frontiers in Human Neuroscience. 12. 165–165. 17 indexed citations
9.
Väljamäe, Aleksander, et al.. (2017). The BrainHack Project. Zenodo (CERN European Organization for Nuclear Research). 21–24. 5 indexed citations
10.
Anzolin, Alessandra, Donatella Mattia, Jlenia Toppi, et al.. (2017). Brain connectivity networks at the basis of human attention components: An EEG study. PubMed. 24. 3953–3956. 3 indexed citations
11.
Riccio, Angela, Floriana Pichiorri, Francesca Schettini, et al.. (2016). Interfacing brain with computer to improve communication and rehabilitation after brain damage. Progress in brain research. 228. 357–387. 25 indexed citations
12.
Schettini, Francesca, Angela Riccio, Luca Simione, et al.. (2015). Assistive Device With Conventional, Alternative, and Brain-Computer Interface Inputs to Enhance Interaction With the Environment for People With Amyotrophic Lateral Sclerosis: A Feasibility and Usability Study. Archives of Physical Medicine and Rehabilitation. 96(3). S46–S53. 38 indexed citations
13.
Riccio, Angela, Elisa Mira Holz, Pietro Aricò, et al.. (2015). Hybrid P300-Based Brain-Computer Interface to Improve Usability for People With Severe Motor Disability: Electromyographic Signals for Error Correction During a Spelling Task. Archives of Physical Medicine and Rehabilitation. 96(3). S54–S61. 45 indexed citations
14.
Kübler, Andrea, Elisa Mira Holz, Angela Riccio, et al.. (2014). The User-Centered Design as Novel Perspective for Evaluating the Usability of BCI-Controlled Applications. PLoS ONE. 9(12). e112392–e112392. 156 indexed citations
15.
Bivona, Umberto, Angela Riccio, Paola Ciurli, et al.. (2013). Low Self-Awareness of Individuals With Severe Traumatic Brain Injury Can Lead to Reduced Ability to Take Another Person's Perspective. Journal of Head Trauma Rehabilitation. 29(2). 157–171. 64 indexed citations
16.
Aloise, Fabio, Pietro Aricò, Francesca Schettini, et al.. (2012). A covert attention P300-based brain–computer interface: Geospell. Ergonomics. 55(5). 538–551. 67 indexed citations
17.
Riccio, Angela, Francesco Leotta, Luigi Bianchi, et al.. (2011). Workload measurement in a communication application operated through a P300-based brain–computer interface. Journal of Neural Engineering. 8(2). 25028–25028. 70 indexed citations
18.
Kleih, Sonja C., Tobias Kaufmann, Claudia Zickler, et al.. (2011). Out of the frying pan into the fire—the P300-based BCI faces real-world challenges. Progress in brain research. 194. 27–46. 68 indexed citations
19.
Aloise, Fabio, Francesca Schettini, Pietro Aricò, et al.. (2010). Advanced brain computer interface for communication and control. IRIS Research product catalog (Sapienza University of Rome). 399–400. 18 indexed citations
20.
Byrnes, Kimberly R., Bogdan A. Stoica, David J. Loane, et al.. (2008). Metabotropic glutamate receptor 5 activation inhibits microglial associated inflammation and neurotoxicity. Glia. 57(5). 550–560. 152 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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