Manuela Petti
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
Papers in
-
- Functional Brain Connectivity Studies 24
- EEG and Brain-Computer Interfaces 18
- Neural dynamics and brain function 15
- Co-authors
- Laura AstolfiJlenia ToppiFebo CincottiDonatella MattiaFloriana PichiorriMarco MolinariIolanda PisottaMaurizio Inghilleri
- Journals
- Clinical Neurophysiology (2 papers)Genes (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Computational Intelligence and Neuroscience (1 paper)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Manuela Petti
37 papers receiving 924 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 781
- Rehabilitation 120
- Human-Computer Interaction 76
- Cellular and Molecular Neuroscience 225
- Neurology 64
Countries citing papers authored by Manuela Petti
This map shows the geographic impact of Manuela Petti'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 Manuela Petti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Petti more than expected).
Fields of papers citing papers by Manuela Petti
This network shows the impact of papers produced by Manuela Petti. 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 Manuela Petti. The network helps show where Manuela Petti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manuela Petti, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 22 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 53 | |
| 17 | 2019 | 10 | |
| 18 | 2016 | 25 | |
| 19 | 2016 | 148 | |
| 20 | 2014 | 20 |
About Manuela Petti
Manuela Petti is a scholar working on Cognitive Neuroscience, Biological Psychiatry, Statistical and Nonlinear Physics, Neurology and Experimental and Cognitive Psychology, having authored 41 papers that have together received 930 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (24 papers), EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (15 papers), Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (5 papers), Computational Drug Discovery Methods (3 papers), Complex Network Analysis Techniques (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cognitive Neuroscience (781 citations), Rehabilitation (120 citations), Human-Computer Interaction (76 citations), Cellular and Molecular Neuroscience (225 citations) and Neurology (64 citations). Manuela Petti has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Laura Astolfi, Jlenia Toppi, Febo Cincotti, Donatella Mattia, Floriana Pichiorri, Marco Molinari, Iolanda Pisotta, Maurizio Inghilleri, Giovanni Morone and Stefano Paolucci. Their work appears in journals such as Clinical Neurophysiology, Genes, PLoS ONE, Scientific Reports and Computational Intelligence and 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.