Aurora Saibene
Impact in
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
Papers in
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- EEG and Brain-Computer Interfaces 7
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- Hate Speech and Cyberbullying Detection 3
- Neural Networks and Applications 2
- Co-authors
- Francesca Gasparini (11 shared papers)Elisabetta Fersini (3 shared papers)Paolo Rosso (2 shared papers)Silvia Corchs (4 shared papers)Berta Chulvi (1 shared paper)Alyssa Lees (1 shared paper)Jeffrey Sorensen (1 shared paper)N. Alberto Borghese (1 shared paper)
In The Last Decade
Aurora Saibene
11 papers receiving 234 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 8
- Artificial Intelligence 130
- Cognitive Neuroscience 63
- Human-Computer Interaction 12
- Signal Processing 22
Countries citing papers authored by Aurora Saibene
This map shows the geographic impact of Aurora Saibene'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 Aurora Saibene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurora Saibene more than expected).
Fields of papers citing papers by Aurora Saibene
This network shows the impact of papers produced by Aurora Saibene. 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 Aurora Saibene. The network helps show where Aurora Saibene may publish in the future.
Co-authors
The 17 scholars most cited alongside Aurora Saibene, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 73 | |
| 2 | 2021 | 70 | |
| 3 | 2023 | 25 | |
| 4 | 2022 | 18 | |
| 5 | 2023 | 17 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2023 | 9 | |
| 10 | Addressing digital divide and elderly acceptance of medical expert systems for healthy ageing | 2020 | 3 |
| 11 | Human-Machine Interaction: EEG Electrode and Feature Selection Exploiting Evolutionary Algorithms in Motor Imagery Tasks | 2020 | 1 |
| 12 | 2023 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2018 | 0 |
About Aurora Saibene
Aurora Saibene is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Social Psychology, having authored 15 papers that have together received 251 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Hate Speech and Cyberbullying Detection (3 papers), Advanced Memory and Neural Computing (3 papers), Neuroscience and Neural Engineering (2 papers), Artificial Intelligence in Healthcare (2 papers), Neural Networks and Applications (2 papers), Humor Studies and Applications (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (130 citations), Cognitive Neuroscience (63 citations), Human-Computer Interaction (12 citations) and Signal Processing (22 citations). Aurora Saibene has collaborated with scholars based in Italy, Spain and Canada. Frequent co-authors include Francesca Gasparini, Elisabetta Fersini, Paolo Rosso, Silvia Corchs, Berta Chulvi, Alyssa Lees, Jeffrey Sorensen, N. Alberto Borghese, Riccardo Borgoni and Marcello Gallucci. Their work appears in journals such as Expert Systems with Applications, Information Processing & Management, Data in Brief, Frontiers in Neuroscience and Sensors.
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.