Elisa Castaldi
Impact in
- Statistics and Probability top 0.5%
- Cognitive and developmental aspects of mathematical skills
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neuroscience and Music Perception
- Neural dynamics and brain function
- Neuroscience, Education and Cognitive Function
Papers in
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- Cognitive and developmental aspects of mathematical skills 30
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- Visual perception and processing mechanisms 17
- Neuroscience and Music Perception 4
- Neuroscience, Education and Cognitive Function 3
- Co-authors
- David C. Burr (14 shared papers)Maria Concetta Morrone (6 shared papers)Giovanni Anobile (15 shared papers)Roberto Arrighi (16 shared papers)Evelyn Eger (7 shared papers)Manuela Piazza (6 shared papers)Claudia Lunghi (1 shared paper)Alexandre Vignaud (2 shared papers)
In The Last Decade
Elisa Castaldi
33 papers receiving 699 citations
Peers
Comparison fields: 5 of 72
- Statistics and Probability 487
- Cognitive Neuroscience 404
- Developmental and Educational Psychology 119
- Education 260
- Applied Mathematics 45
Countries citing papers authored by Elisa Castaldi
This map shows the geographic impact of Elisa Castaldi'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 Elisa Castaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Castaldi more than expected).
Fields of papers citing papers by Elisa Castaldi
This network shows the impact of papers produced by Elisa Castaldi. 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 Elisa Castaldi. The network helps show where Elisa Castaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisa Castaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 84 | |
| 2 | 2019 | 60 | |
| 3 | 2020 | 55 | |
| 4 | 2016 | 54 | |
| 5 | 2016 | 54 | |
| 6 | 2016 | 50 | |
| 7 | 2017 | 48 | |
| 8 | 2020 | 32 | |
| 9 | 2018 | 30 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2013 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 6 |
About Elisa Castaldi
Elisa Castaldi is a scholar working on Statistics and Probability, Cognitive Neuroscience, Education, Applied Mathematics and Molecular Biology, having authored 36 papers that have together received 706 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (30 papers), Mathematics Education and Teaching Techniques (19 papers), Visual perception and processing mechanisms (17 papers), Mathematics Education and Pedagogy (5 papers), Neuroscience and Music Perception (4 papers), Neuroscience and Neural Engineering (3 papers), Reading and Literacy Development (3 papers) and Neuroscience, Education and Cognitive Function (3 papers). The work is most often cited by research in Statistics and Probability (487 citations), Cognitive Neuroscience (404 citations), Developmental and Educational Psychology (119 citations), Education (260 citations) and Applied Mathematics (45 citations). Elisa Castaldi has collaborated with scholars based in Italy, France and Australia. Frequent co-authors include David C. Burr, Maria Concetta Morrone, Giovanni Anobile, Roberto Arrighi, Evelyn Eger, Manuela Piazza, Claudia Lunghi, Alexandre Vignaud, Guido Marco Cicchini and Stanislas Dehaene. Their work appears in journals such as Scientific Reports, Proceedings of the Royal Society B Biological Sciences, NeuroImage, Journal of Vision and Frontiers in Human 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.