Danilo Spada
Impact in
- Cognitive Neuroscience top 5%
- Neuroscience and Music Perception
- Neural dynamics and brain function
- Neurobiology of Language and Bilingualism
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
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- Language Development and Disorders
- Reading and Literacy Development
Papers in
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- Neuroscience and Music Perception 7
- Neural dynamics and brain function 3
- Hearing Loss and Rehabilitation 2
- EEG and Brain-Computer Interfaces 2
- Motor Control and Adaptation 2
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- Action Observation and Synchronization 2
- Co-authors
- Daniela Perani (6 shared papers)Maria Cristina Saccuman (2 shared papers)Cristina Baldoli (2 shared papers)Paola Scifo (2 shared papers)Alfred Anwander (1 shared paper)Antonella Poloniato (1 shared paper)Gabriele Lohmann (1 shared paper)Angela D. Friederici (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)NeuroImage (2 papers)Cortex (1 paper)Neural Plasticity (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Danilo Spada
8 papers receiving 684 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 538
- Developmental and Educational Psychology 195
- Music 45
- Developmental Biology 24
- Pharmacy 44
Countries citing papers authored by Danilo Spada
This map shows the geographic impact of Danilo Spada'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 Danilo Spada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Spada more than expected).
Fields of papers citing papers by Danilo Spada
This network shows the impact of papers produced by Danilo Spada. 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 Danilo Spada. The network helps show where Danilo Spada may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Spada, 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 | 2011 | 310 | |
| 2 | 2010 | 203 | |
| 3 | 2011 | 97 | |
| 4 | 2011 | 61 | |
| 5 | 2014 | 18 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2007 | 2 | |
| 9 | 2024 | 1 |
About Danilo Spada
Danilo Spada is a scholar working on Cognitive Neuroscience, Social Psychology, Rehabilitation, Signal Processing and Artificial Intelligence, having authored 9 papers that have together received 703 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (7 papers), Neural dynamics and brain function (3 papers), Hearing Loss and Rehabilitation (2 papers), EEG and Brain-Computer Interfaces (2 papers), Action Observation and Synchronization (2 papers), Motor Control and Adaptation (2 papers), Speech Recognition and Synthesis (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Cognitive Neuroscience (538 citations), Developmental and Educational Psychology (195 citations), Music (45 citations), Developmental Biology (24 citations) and Pharmacy (44 citations). Danilo Spada has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Daniela Perani, Maria Cristina Saccuman, Cristina Baldoli, Paola Scifo, Alfred Anwander, Antonella Poloniato, Gabriele Lohmann, Angela D. Friederici, Rosanna Rovelli and Stefan Koelsch. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage, Cortex, Neural Plasticity and SHILAP Revista de lepidopterología.
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.