Samuel Di Luca
- Statistics and Probability top 1%
- Developmental and Educational Psychology top 5%
- Cognitive Neuroscience top 5%
- Education top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Mauro PesentiMichaël AndresLuisa GirelliLuca RinaldiAlessia GranàCarlo SemenzaXavier SeronAvishai Henik
- Topics
- Cognitive and developmental aspects of mathematical skills (11 papers)Reading and Literacy Development (4 papers)Mathematics Education and Teaching Techniques (4 papers)
- Partner nations
- BelgiumItalyLuxembourg
In The Last Decade
Samuel Di Luca
14 papers receiving 612 citations
Peers
Comparison fields: 5 of 42
- Statistics and Probability 474
- Developmental and Educational Psychology 317
- Cognitive Neuroscience 305
- Education 256
- Experimental and Cognitive Psychology 82
Countries citing papers authored by Samuel Di Luca
This map shows the geographic impact of Samuel Di Luca'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 Samuel Di Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Di Luca more than expected).
Fields of papers citing papers by Samuel Di Luca
This network shows the impact of papers produced by Samuel Di Luca. 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 Samuel Di Luca. The network helps show where Samuel Di Luca may publish in the future.
Co-authorship network of co-authors of Samuel Di Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Di Luca. A scholar is included among the top collaborators of Samuel Di Luca 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 Samuel Di Luca. Samuel Di Luca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 12 | |
| 3 | 82 | |
| 4 | 11 | |
| 5 | 81 | |
| 6 | 11 | |
| 7 | 38 | |
| 8 | 15 | |
| 9 | Interactions between fingers and numbers : towards finger numeral representations | 1 |
| 10 | 68 | |
| 11 | 85 | |
| 12 | 73 | |
| 13 | 134 | |
| 14 | [Spectral analysis of EEG signals in Alzheimer's disease]. | 1 |
About Samuel Di Luca
Samuel Di Luca is a scholar working on Statistics and Probability, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 14 papers that have together received 627 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (11 papers), Reading and Literacy Development (4 papers) and Mathematics Education and Teaching Techniques (4 papers). The work is most often cited by research in Statistics and Probability (474 citations), Developmental and Educational Psychology (317 citations) and Cognitive Neuroscience (305 citations). Samuel Di Luca has collaborated with scholars based in Belgium, Italy and Luxembourg. Frequent co-authors include Mauro Pesenti, Michaël Andres, Luisa Girelli, Luca Rinaldi, Alessia Granà, Carlo Semenza, Xavier Seron, Avishai Henik, Arnaud Badets and Nathalie Lefèvre. Their work appears in journals such as Cognition, Experimental Brain Research and Behavioral and Brain Sciences.
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.