Danilo Spada
Impact in
- Cognitive Neuroscience top 5%
- Neuroscience and Music Perception
- Neurobiology of Language and Bilingualism
- Hemispheric Asymmetry in Neuroscience
- Functional Brain Connectivity Studies
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- Language Development and Disorders
Papers in
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- Neuroscience and Music Perception 6
- EEG and Brain-Computer Interfaces 1
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- Action Observation and Synchronization 2
- Co-authors
- Daniela Perani (6 shared papers)Maria Cristina Saccuman (2 shared papers)Paola Scifo (2 shared papers)Cristina Baldoli (2 shared papers)Gabriele Lohmann (1 shared paper)Alfred Anwander (1 shared paper)Angela Dorkas Friederici (1 shared paper)Antonella Poloniato (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)NeuroImage (2 papers)Cortex (1 paper)Neural Plasticity (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Danilo Spada
9 papers receiving 767 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 535
- Developmental and Educational Psychology 154
- Developmental Biology 17
- Social Psychology 163
- Music 24
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 | 386 | |
| 2 | 2010 | 231 | |
| 3 | 2011 | 108 | |
| 4 | 2011 | 70 | |
| 5 | 2014 | 19 | |
| 6 | 2018 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2007 | 2 | |
| 9 | 2024 | 1 | |
| 10 | Acoustic Event Recognition for Low Cost Language Identification | 2008 | 0 |
About Danilo Spada
Danilo Spada is a scholar working on Cognitive Neuroscience, Social Psychology, Neurology, Artificial Intelligence and Developmental and Educational Psychology, having authored 10 papers that have together received 830 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (6 papers), Speech Recognition and Synthesis (2 papers), Action Observation and Synchronization (2 papers), EEG and Brain-Computer Interfaces (1 paper), Dementia and Cognitive Impairment Research (1 paper), Language Development and Disorders (1 paper), Multisensory perception and integration (1 paper) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (535 citations), Developmental and Educational Psychology (154 citations), Developmental Biology (17 citations), Social Psychology (163 citations) and Music (24 citations). Danilo Spada has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Daniela Perani, Maria Cristina Saccuman, Paola Scifo, Cristina Baldoli, Gabriele Lohmann, Alfred Anwander, Angela Dorkas Friederici, Antonella Poloniato, Rosanna Rovelli and Stefan Koelsch. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage, Cortex, Neural Plasticity and DOAJ (DOAJ: Directory of Open Access Journals).
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.