Fabio Aloise
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Human-Computer Interaction top 0.5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Febo CincottiDonatella MattiaFabio BabiloniPietro AricòFrancesca SchettiniMaria Grazia MarcianiGiovanni VecchiatoFrancesco Leotta
- Topics
- EEG and Brain-Computer Interfaces (38 papers)Neuroscience and Neural Engineering (27 papers)Gaze Tracking and Assistive Technology (17 papers)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Fabio Aloise
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 1.5k
- Cellular and Molecular Neuroscience 727
- Human-Computer Interaction 452
- Electrical and Electronic Engineering 243
- Biomedical Engineering 221
Countries citing papers authored by Fabio Aloise
This map shows the geographic impact of Fabio Aloise'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 Fabio Aloise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Aloise more than expected).
Fields of papers citing papers by Fabio Aloise
This network shows the impact of papers produced by Fabio Aloise. 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 Fabio Aloise. The network helps show where Fabio Aloise may publish in the future.
Co-authorship network of co-authors of Fabio Aloise
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Aloise. A scholar is included among the top collaborators of Fabio Aloise 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 Fabio Aloise. Fabio Aloise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 45 | |
| 3 | 4 | |
| 4 | 30 | |
| 5 | 85 | |
| 6 | 34 | |
| 7 | 4 | |
| 8 | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 83 |
| 9 | 38 | |
| 10 | 68 | |
| 11 | 84 | |
| 12 | 6 | |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 107 | |
| 17 | 215 | |
| 18 | A vision-based path planner/follower for an assistive robotics project | 1 |
| 19 | 86 | |
| 20 | 6 |
About Fabio Aloise
Fabio Aloise is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (38 papers), Neuroscience and Neural Engineering (27 papers) and Gaze Tracking and Assistive Technology (17 papers). The work is most often cited by research in Human-Computer Interaction (452 citations), Cognitive Neuroscience (1.5k citations) and Cellular and Molecular Neuroscience (727 citations). Fabio Aloise has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Febo Cincotti, Donatella Mattia, Fabio Babiloni, Pietro Aricò, Francesca Schettini, Maria Grazia Marciani, Giovanni Vecchiato, Francesco Leotta, S. Salinari and Fabrizio De Vico Fallani. Their work appears in journals such as Sensors, Journal of Affective Disorders and Archives of Physical Medicine and Rehabilitation.
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.