Alberto De Luca

3.4k total citations
54 papers, 590 citations indexed

About

Alberto De Luca is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Alberto De Luca has authored 54 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pediatrics, Perinatology and Child Health and 10 papers in Cognitive Neuroscience. Recurrent topics in Alberto De Luca's work include Advanced Neuroimaging Techniques and Applications (40 papers), Advanced MRI Techniques and Applications (23 papers) and MRI in cancer diagnosis (10 papers). Alberto De Luca is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (40 papers), Advanced MRI Techniques and Applications (23 papers) and MRI in cancer diagnosis (10 papers). Alberto De Luca collaborates with scholars based in Netherlands, Germany and Italy. Alberto De Luca's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Alberto De Luca

48 papers receiving 585 citations

Peers

Alberto De Luca
Paolo Nucifora United States
Salem Hannoun Lebanon
Michiel Kleinnijenhuis Netherlands
Joy Matsui United States
Mohamed Tachrount United Kingdom
Sara Castañer Spain
Neda Sadeghi United States
Robert H. Dorwart United States
Indika S. Walimuni United States
Tina Banks United Kingdom
Paolo Nucifora United States
Alberto De Luca
Citations per year, relative to Alberto De Luca Alberto De Luca (= 1×) peers Paolo Nucifora

Countries citing papers authored by Alberto De Luca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Brink, Hilde van den, Anna Kopczak, Jeroen C.W. Siero, et al.. (2025). The relation between cerebral small vessel function and white matter microstructure in monogenic and sporadic small vessel disease - the ZOOM@SVDs study. PubMed. 8. 100383–100383. 1 indexed citations
2.
Tolboom, Nelleke, Sandeep S.V. Golla, Bart N.M. van Berckel, et al.. (2025). Neuroinflammation in long-term cognitive impairment after aneurysmal subarachnoid hemorrhage. International Journal of Stroke. 20(10). 1301–1309.
3.
Dell’Acqua, Flavio, Alexander Leemans, Fan Zhang, et al.. (2025). The tractographer’s dilemma: understanding sources of variability in tractography. Brain Structure and Function. 230(6). 99–99. 1 indexed citations
4.
Venkatraghavan, Vikram, Betty M. Tijms, Hugo J. Kuijf, et al.. (2024). Identifying factors affecting resilience in atrophy-based subtypes of vascular cognitive impairment. SHILAP Revista de lepidopterología. 6. 100253–100253.
5.
Voigt, Sabine, Emma A. Koemans, Alberto De Luca, et al.. (2024). Microstructural white matter damage on MRI is associated with disease severity in Dutch-type cerebral amyloid angiopathy. Journal of Cerebral Blood Flow & Metabolism. 44(11). 1253–1261. 2 indexed citations
6.
Hong, Hui, Yao Zhang, Lei Cui, et al.. (2024). Longitudinal changes in white matter free water in cerebral small vessel disease: Relationship to cerebral blood flow and white matter fiber alterations. Journal of Cerebral Blood Flow & Metabolism. 45(5). 932–944. 5 indexed citations
7.
8.
Visser, Fredy, Alberto De Luca, Eelco W. Hoving, et al.. (2024). Improving advanced intraoperative MRI methods during pediatric neurosurgery. NMR in Biomedicine. 37(6). e5124–e5124.
9.
Sollmann, Nico, Florian Kofler, Ahmed Radwan, et al.. (2023). Reconstruction of the Corticospinal Tract in Patients with Motor-Eloquent High-Grade Gliomas Using Multilevel Fiber Tractography Combined with Functional Motor Cortex Mapping. American Journal of Neuroradiology. 44(3). 283–290. 3 indexed citations
10.
Schoot, Reineke A., Rick R. van Rijn, Simone A. J. ter Horst, et al.. (2023). Methodological considerations on segmenting rhabdomyosarcoma with diffusion-weighted imaging—What can we do better?. Insights into Imaging. 14(1). 19–19. 6 indexed citations
11.
Luca, Alberto De, Alexander Leemans, Chantal M. W. Tax, Kurt G. Schilling, & Geert Jan Biessels. (2023). Resolving heterogeneous crossing fibers with Adaptive modelling and Generalized Richardson Lucy spherical deconvolution (AGRL). Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
12.
Luca, Alberto De, Alexander Leemans, Seyed Ehsan Saffari, et al.. (2022). Topology of diffusion changes in corpus callosum in Alzheimer's disease: An exploratory case-control study. Frontiers in Neurology. 13. 1005406–1005406. 6 indexed citations
13.
Leemans, Alexander, et al.. (2022). Anatomically informed multi-level fiber tractography for targeted virtual dissection. Magnetic Resonance Materials in Physics Biology and Medicine. 36(1). 79–93. 4 indexed citations
14.
Guo, Fenghua, Chantal M. W. Tax, Alberto De Luca, et al.. (2021). Fiber orientation distribution from diffusion MRI: Effects of inaccurate response function calibration. Journal of Neuroimaging. 31(6). 1082–1098. 5 indexed citations
15.
Biessels, Geert Jan, et al.. (2021). Strain Tensor Imaging: Cardiac-induced brain tissue deformation in humans quantified with high-field MRI. NeuroImage. 236. 118078–118078. 16 indexed citations
16.
Sollmann, Nico, Florian Kofler, Ahmed Radwan, et al.. (2021). Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches. Frontiers in Oncology. 11. 761169–761169. 9 indexed citations
17.
Brink, Hilde van den, Anna Kopczak, Jeroen C.W. Siero, et al.. (2021). Zooming in on cerebral small vessel function in small vessel diseases with 7T MRI: Rationale and design of the “ZOOM@SVDs” study. SHILAP Revista de lepidopterología. 2. 100013–100013. 12 indexed citations
18.
Arrigoni, Filippo, Romina Romaniello, Denis Peruzzo, et al.. (2017). Anterior Mesencephalic Cap Dysplasia: Novel Brain Stem Malformative Features Associated with Joubert Syndrome. American Journal of Neuroradiology. 38(12). 2385–2390. 11 indexed citations
19.
Squarcina, Letizia, Alberto De Luca, Marcella Bellani, et al.. (2015). Fractal analysis of MRI data for the characterization of patients with schizophrenia and bipolar disorder. Physics in Medicine and Biology. 60(4). 1697–1716. 26 indexed citations
20.
Canuto, Enrico, et al.. (1983). THE PHOTON NOISE ERROR IN GRID COORDINATE ESTIMATION. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations

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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