Cristina Becchio
- Cognitive Neuroscience top 0.5%
- Social Psychology top 0.2%
- Developmental and Educational Psychology top 1%
- Experimental and Cognitive Psychology top 1%
- Psychiatry and Mental health top 5%
- Co-authors
- Umberto CastielloAndrea CavalloLuisa SartoriValéria ManeraCaterina AnsuiniAtesh KoulCesare BertoneMaria Bulgheroni
- Topics
- Action Observation and Synchronization (73 papers)Motor Control and Adaptation (21 papers)Child and Animal Learning Development (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Cristina Becchio
118 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Cognitive Neuroscience 2.7k
- Social Psychology 2.6k
- Developmental and Educational Psychology 1.1k
- Experimental and Cognitive Psychology 736
- Psychiatry and Mental health 325
Countries citing papers authored by Cristina Becchio
This map shows the geographic impact of Cristina Becchio'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 Cristina Becchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Becchio more than expected).
Fields of papers citing papers by Cristina Becchio
This network shows the impact of papers produced by Cristina Becchio. 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 Cristina Becchio. The network helps show where Cristina Becchio may publish in the future.
Co-authorship network of co-authors of Cristina Becchio
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Becchio. A scholar is included among the top collaborators of Cristina Becchio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cristina Becchio. Cristina Becchio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Testing theory of mind in large language models and humansbreakdown → | 84 |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 23 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 33 | |
| 12 | 27 | |
| 13 | 102 | |
| 14 | 55 | |
| 15 | 52 | |
| 16 | 19 | |
| 17 | 67 | |
| 18 | 13 | |
| 19 | Neural Correlates Underlying Action-intention and Aim-intention | 2 |
| 20 | 1 |
About Cristina Becchio
Cristina Becchio is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology, having authored 119 papers that have together received 4.2k indexed citations. Recurring topics across this work include Action Observation and Synchronization (73 papers), Motor Control and Adaptation (21 papers) and Child and Animal Learning Development (18 papers). The work is most often cited by research in Cognitive Neuroscience (2.7k citations), Social Psychology (2.6k citations) and Developmental and Educational Psychology (1.1k citations). Cristina Becchio has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Umberto Castiello, Andrea Cavallo, Luisa Sartori, Valéria Manera, Caterina Ansuini, Atesh Koul, Cesare Bertone, Maria Bulgheroni, Bruno G. Bara and Francesca Capozzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of 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.