Samuel Di Luca

835 total citations
14 papers, 627 citations indexed

About

Samuel Di Luca is a scholar working on Statistics and Probability, Cognitive Neuroscience and Education. According to data from OpenAlex, Samuel Di Luca has authored 14 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 7 papers in Cognitive Neuroscience and 4 papers in Education. Recurrent topics in Samuel Di Luca's 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). Samuel Di Luca is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (11 papers), Reading and Literacy Development (4 papers) and Mathematics Education and Teaching Techniques (4 papers). Samuel Di Luca collaborates with scholars based in Belgium, Italy and Luxembourg. Samuel Di Luca's co-authors include Mauro Pesenti, Michaël Andres, Luisa Girelli, Luca Rinaldi, Alessia Granà, Carlo Semenza, Xavier Seron, Avishai Henik, Arnaud Badets and Nathalie Lefèvre and has published in prestigious journals such as Cognition, Experimental Brain Research and Behavioral and Brain Sciences.

In The Last Decade

Samuel Di Luca

14 papers receiving 612 citations

Peers

Samuel Di Luca
Comparison fields: 5 of 42
  • Statistics and Probability 474
  • Developmental and Educational Psychology 317
  • Cognitive Neuroscience 305
  • Education 256
  • Experimental and Cognitive Psychology 82
Replace Virginie Crollen with:
Virginie Crollen Belgium
Bernie Caessens Belgium
Caroline Hornung Luxembourg
Krzysztof Cipora Germany
Tânia Fernandes Portugal
Michal Pinhas Israel
Dror Dotan Israel
Seppe Santens Belgium
Amparo Herrera Spain
Julia Bahnmueller Germany
Virginie Crollen Belgium View profile →
Citations per field, relative to Samuel Di Luca
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Citations per year, relative to Samuel Di Luca
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Countries citing papers authored by Samuel Di Luca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

14 of 14 papers shown
# 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

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.

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