Giulia Borghini
Impact in
- Cognitive Neuroscience top 10%
- Hearing Loss and Rehabilitation
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Neural and Behavioral Psychology Studies 2
- Hearing Loss and Rehabilitation 2
- EEG and Brain-Computer Interfaces 1
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- Action Observation and Synchronization 2
- Co-authors
- Valérie Hazan (2 shared papers)Cristina Becchio (2 shared papers)Vincent Walsh (1 shared paper)Michela Candini (1 shared paper)Vincenzo Romei (1 shared paper)Nahid Zokaei (1 shared paper)Marinella Cappelletti (1 shared paper)Michael S. A. Graziano (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (1 paper)Nature Human Behaviour (1 paper)Current Biology (1 paper)Journal of Neuroscience (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Giulia Borghini
5 papers receiving 245 citations
Giulia Borghini's Hit Papers
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 154
- Health Informatics 10
- Speech and Hearing 31
- Experimental and Cognitive Psychology 57
- Developmental and Educational Psychology 28
Countries citing papers authored by Giulia Borghini
This map shows the geographic impact of Giulia Borghini'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 Giulia Borghini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Borghini more than expected).
Fields of papers citing papers by Giulia Borghini
This network shows the impact of papers produced by Giulia Borghini. 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 Giulia Borghini. The network helps show where Giulia Borghini may publish in the future.
Co-authors
The 12 scholars most cited alongside Giulia Borghini, 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 | Testing theory of mind in large language models and humans Hit paper breakdown → | 2024 | 84 |
| 2 | 2018 | 65 | |
| 3 | 2018 | 62 | |
| 4 | 2020 | 23 | |
| 5 | 2023 | 13 |
About Giulia Borghini
Giulia Borghini is a scholar working on Cognitive Neuroscience, Social Psychology, Speech and Hearing, Signal Processing and Experimental and Cognitive Psychology, having authored 5 papers that have together received 247 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (2 papers), Action Observation and Synchronization (2 papers), Hearing Loss and Rehabilitation (2 papers), Noise Effects and Management (2 papers), Speech and Audio Processing (1 paper), Phonetics and Phonology Research (1 paper), Language and cultural evolution (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (154 citations), Health Informatics (10 citations), Speech and Hearing (31 citations), Experimental and Cognitive Psychology (57 citations) and Developmental and Educational Psychology (28 citations). Giulia Borghini has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Valérie Hazan, Cristina Becchio, Vincent Walsh, Michela Candini, Vincenzo Romei, Nahid Zokaei, Marinella Cappelletti, Michael S. A. Graziano, Stefano Panzeri and James W. A. Strachan. Their work appears in journals such as The Journal of the Acoustical Society of America, Nature Human Behaviour, Current Biology, Journal of Neuroscience and Frontiers in Neuroscience.
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.