Alberto De Luca
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Neurology
- Co-authors
- Alexander LeemansMartijn FroelingFilippo ArrigoniAlessandra BertoldoDenis PeruzzoSara MascherettiCecilia MarinoMax A. Viergever
- Topics
- Advanced Neuroimaging Techniques and Applications (40 papers)Advanced MRI Techniques and Applications (23 papers)MRI in cancer diagnosis (10 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingDevelopmental and Educational PsychologyCellular and Molecular Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageMagnetic Resonance in Medicine
- Partner nations
- NetherlandsGermanyItaly
In The Last Decade
Alberto De Luca
48 papers receiving 585 citations
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 286
- Molecular Biology 113
- Cellular and Molecular Neuroscience 95
- Cognitive Neuroscience 82
- Neurology 75
Countries citing papers authored by Alberto De Luca
This map shows the geographic impact of Alberto 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 Alberto 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 Alberto De Luca more than expected).
Fields of papers citing papers by Alberto De Luca
This network shows the impact of papers produced by Alberto 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 Alberto De Luca. The network helps show where Alberto De Luca may publish in the future.
Co-authorship network of co-authors of Alberto De Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto De Luca. A scholar is included among the top collaborators of Alberto 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 Alberto De Luca. Alberto 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 16 | |
| 16 | 9 | |
| 17 | 12 | |
| 18 | 11 | |
| 19 | 26 | |
| 20 | THE PHOTON NOISE ERROR IN GRID COORDINATE ESTIMATION | 1 |
About Alberto De Luca
Alberto De Luca is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Neurology, having authored 54 papers that have together received 590 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (40 papers), Advanced MRI Techniques and Applications (23 papers) and MRI in cancer diagnosis (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (286 citations), Developmental and Educational Psychology (66 citations) and Cellular and Molecular Neuroscience (95 citations). Alberto De Luca has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Alexander Leemans, Martijn Froeling, Filippo Arrigoni, Alessandra Bertoldo, Denis Peruzzo, Sara Mascheretti, Cecilia Marino, Max A. Viergever, Fenghua Guo and Maria Grazia D’Angelo. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Magnetic Resonance in Medicine.
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.