Maria De Luca
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 0.5%
- Statistics and Probability top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Education top 2%
- Co-authors
- Pierluigi ZoccolottiDonatella SpinelliAnna JudicaNicola De StefanoPaul M. MatthewsStephen M. SmithChristian F. BeckmannEnrico Di Pace
- Topics
- Reading and Literacy Development (34 papers)Cognitive and developmental aspects of mathematical skills (23 papers)Spatial Neglect and Hemispheric Dysfunction (14 papers)
- Journals
- PLoS ONENeuroImageNeurology
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Maria De Luca
67 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 2.0k
- Developmental and Educational Psychology 1.7k
- Statistics and Probability 844
- Radiology, Nuclear Medicine and Imaging 532
- Education 532
Countries citing papers authored by Maria De Luca
This map shows the geographic impact of Maria De 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 Maria De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria De Luca more than expected).
Fields of papers citing papers by Maria De Luca
This network shows the impact of papers produced by Maria De 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 Maria De Luca. The network helps show where Maria De Luca may publish in the future.
Co-authorship network of co-authors of Maria De Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Maria De Luca. A scholar is included among the top collaborators of Maria De 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 Maria De Luca. Maria De 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 | 0 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 19 | |
| 7 | 11 | |
| 8 | 18 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 18 | |
| 12 | 32 | |
| 13 | 48 | |
| 14 | 15 | |
| 15 | 5 | |
| 16 | 47 | |
| 17 | 115 | |
| 18 | fMRI resting state networks define distinct modes of long-distance interactions in the human brainbreakdown → | 980 |
| 19 | 182 | |
| 20 | 159 |
About Maria De Luca
Maria De Luca is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Cognitive Neuroscience, having authored 68 papers that have together received 3.6k indexed citations. Recurring topics across this work include Reading and Literacy Development (34 papers), Cognitive and developmental aspects of mathematical skills (23 papers) and Spatial Neglect and Hemispheric Dysfunction (14 papers). The work is most often cited by research in Developmental and Educational Psychology (1.7k citations), Cognitive Neuroscience (2.0k citations) and Statistics and Probability (844 citations). Maria De Luca has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Pierluigi Zoccolotti, Donatella Spinelli, Anna Judica, Nicola De Stefano, Paul M. Matthews, Stephen M. Smith, Christian F. Beckmann, Enrico Di Pace, Gloria Di Filippo and Cristina Burani. Their work appears in journals such as PLoS ONE, NeuroImage and Neurology.
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.