Daniele Caligiore
- Cognitive Neuroscience top 2%
- Motor Control and Adaptation 10
- Neural dynamics and brain function 8
- Neural and Behavioral Psychology Studies 6
- Neurology top 5%
- Neurological disorders and treatments 7
- Parkinson's Disease Mechanisms and Treatments 5
- Social Psychology top 2%
- Action Observation and Synchronization 15
- Neurology top 5%
- Neurological disorders and treatments 7
- Parkinson's Disease Mechanisms and Treatments 5
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- Child and Animal Learning Development 7
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- Robot Manipulation and Learning 7
- Co-authors
- Gianluca BaldassarreAnna M. BorghiR. Chris MiallGianfranco SpallettaMichael A. ArbibDomenico ParisiGiovanni PezzuloRick C. Helmich
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Daniele Caligiore
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 133
- Cognitive Neuroscience 790
- Neurology 247
- Social Psychology 452
- Neurology 280
- Developmental and Educational Psychology 183
Countries citing papers authored by Daniele Caligiore
This map shows the geographic impact of Daniele Caligiore'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 Daniele Caligiore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Caligiore more than expected).
Fields of papers citing papers by Daniele Caligiore
This network shows the impact of papers produced by Daniele Caligiore. 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 Daniele Caligiore. The network helps show where Daniele Caligiore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniele Caligiore, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 14 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 15 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 75 | |
| 12 | 2017 | 77 | |
| 13 | 2016 | 151 | |
| 14 | 2016 | 124 | |
| 15 | 2016 | 282 | |
| 16 | 2015 | 11 | |
| 17 | 2014 | 24 | |
| 18 | 2013 | 146 | |
| 19 | 2012 | 35 | |
| 20 | 2010 | 73 |
About Daniele Caligiore
Daniele Caligiore is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Action Observation and Synchronization (15 papers), Motor Control and Adaptation (10 papers), Neural dynamics and brain function (8 papers), Robot Manipulation and Learning (7 papers), Child and Animal Learning Development (7 papers), Neurological disorders and treatments (7 papers), Neural and Behavioral Psychology Studies (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Cognitive Neuroscience (790 citations), Neurology (247 citations) and Social Psychology (452 citations). Daniele Caligiore has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Gianluca Baldassarre, Anna M. Borghi, R. Chris Miall, Gianfranco Spalletta, Michael A. Arbib, Domenico Parisi, Giovanni Pezzulo, Rick C. Helmich, Serge Thill and Tom Ziemke. Their work appears in journals such as PLoS ONE, Psychological Review and Scientific Reports.
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.