Alessandro Daducci

8.7k total citations · 2 hit papers
115 papers, 2.8k citations indexed

About

Alessandro Daducci is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Alessandro Daducci has authored 115 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Cognitive Neuroscience and 18 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Alessandro Daducci's work include Advanced Neuroimaging Techniques and Applications (97 papers), Advanced MRI Techniques and Applications (82 papers) and Functional Brain Connectivity Studies (32 papers). Alessandro Daducci is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (97 papers), Advanced MRI Techniques and Applications (82 papers) and Functional Brain Connectivity Studies (32 papers). Alessandro Daducci collaborates with scholars based in Italy, Switzerland and Canada. Alessandro Daducci's co-authors include Jean‐Philippe Thiran, Alia Lemkaddem, Erick J. Canales‐Rodríguez, Maxime Descoteaux, Alessandro Dal Palù, Tim B. Dyrby, Daniel C. Alexander, Hui Zhang, Reto Meuli and Simona Schiavi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Alessandro Daducci

108 papers receiving 2.7k citations

Hit Papers

Accelerated Microstructure Imaging via Convex Optimizatio... 2014 2026 2018 2022 2014 2022 100 200 300

Peers

Alessandro Daducci
Daan Christiaens United Kingdom
Jennifer A. McNab United States
Tim B. Dyrby Denmark
Jee Eun Lee United States
Alex J. de Crespigny United States
Maj Hedehus United States
Robert E. Smith Australia
Alessandro Daducci
Citations per year, relative to Alessandro Daducci Alessandro Daducci (= 1×) peers Chun‐Hung Yeh

Countries citing papers authored by Alessandro Daducci

Since Specialization
Citations

This map shows the geographic impact of Alessandro Daducci'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 Alessandro Daducci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Daducci more than expected).

Fields of papers citing papers by Alessandro Daducci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandro Daducci. 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 Alessandro Daducci. The network helps show where Alessandro Daducci may publish in the future.

Co-authorship network of co-authors of Alessandro Daducci

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Daducci. A scholar is included among the top collaborators of Alessandro Daducci 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 Alessandro Daducci. Alessandro Daducci 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.
Leppert, Ilana R., Jennifer S. W. Campbell, Simona Schiavi, et al.. (2025). Mapping the aggregate g-ratio of white matter tracts using multi-modal MRI. Imaging Neuroscience. 3.
2.
Camera, Valentina, Silvia Messina, Agnese Tamanti, et al.. (2025). Investigating the Presence of Neurodegeneration Independent of Relapses in MOGAD Compared to Relapsing-Remitting Multiple Sclerosis. 1(2). 1 indexed citations
3.
Schiavi, Simona, et al.. (2024). Blurred streamlines: A novel representation to reduce redundancy in tractography. Medical Image Analysis. 93. 103101–103101. 6 indexed citations
4.
Kjer, Hans Martin, Yi He, Alexandra Pacureanu, et al.. (2024). Bridging the 3D geometrical organisation of white matter pathways across anatomical length scales and species. eLife. 13. 6 indexed citations
5.
Genc, Sila, Simona Schiavi, Maxime Chamberland, et al.. (2024). Developmental differences in canonical cortical networks: Insights from microstructure-informed tractography. Network Neuroscience. 8(3). 946–964. 2 indexed citations
6.
Wenger, Alice, Muhamed Baraković, Sabine Schaedelin, et al.. (2023). An investigation of the association between focal damage and global network properties in cognitively impaired and cognitively preserved patients with multiple sclerosis. Frontiers in Neuroscience. 17. 1007580–1007580.
7.
Royer, Jessica, Ilana R. Leppert, Jennifer S. W. Campbell, et al.. (2023). The human brain connectome weighted by the myelin content and total intra-axonal cross-sectional area of white matter tracts. Network Neuroscience. 7(4). 1363–1388. 7 indexed citations
8.
Sarwar, Tabinda, Kotagiri Ramamohanarao, Alessandro Daducci, et al.. (2023). Evaluation of tractogram filtering methods using human-like connectome phantoms. NeuroImage. 281. 120376–120376. 7 indexed citations
9.
Schiavi, Simona, et al.. (2022). Classification of multiple sclerosis patients based on structural disconnection: A robust feature selection approach. Journal of Neuroimaging. 32(4). 647–655. 8 indexed citations
10.
Pontillo, Giuseppe, Maria Petracca, Teresa Costabile, et al.. (2022). Structural disconnection and functional reorganization in Fabry disease: a multimodal MRI study. Brain Communications. 4(4). fcac187–fcac187. 6 indexed citations
11.
Koch, Philipp, Gabriel Girard, Elena Beanato, et al.. (2022). Evaluating reproducibility and subject-specificity of microstructure-informed connectivity. NeuroImage. 258. 119356–119356. 8 indexed citations
12.
Repetti, Audrey, et al.. (2021). Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors. arXiv (Cornell University). 1 indexed citations
13.
Rahmanzadeh, Reza, Po‐Jui Lu, Muhamed Baraković, et al.. (2021). Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging. Brain. 144(6). 1684–1696. 82 indexed citations
14.
Schiavi, Simona, Sabine Schaedelin, Po‐Jui Lu, et al.. (2021). Microstructure-Weighted Connectomics in Multiple Sclerosis. Brain Connectivity. 12(1). 6–17. 8 indexed citations
15.
Hilbert, Tom, Erick J. Canales‐Rodríguez, Marco Pizzolato, et al.. (2020). Fast and high‐resolution myelin water imaging: Accelerating multi‐echo GRASE with CAIPIRINHA. Magnetic Resonance in Medicine. 85(1). 209–222. 21 indexed citations
16.
Schiavi, Simona, Maria Petracca, Mohamed Mounir El Mendili, et al.. (2020). Sensory‐motor network topology in multiple sclerosis: Structural connectivity analysis accounting for intrinsic density discrepancy. Human Brain Mapping. 41(11). 2951–2963. 25 indexed citations
17.
Schiavi, Simona, Mario Ocampo‐Pineda, Muhamed Baraković, et al.. (2020). A new method for accurate in vivo mapping of human brain connections using microstructural and anatomical information. Science Advances. 6(31). eaba8245–eaba8245. 66 indexed citations
18.
Deprez, Maria, Anthony N. Price, Daan Christiaens, et al.. (2019). Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction. IEEE Transactions on Medical Imaging. 39(4). 1104–1113. 22 indexed citations
19.
Bonet-Carné, Elisenda, Edward W. Johnston, Alessandro Daducci, et al.. (2018). VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization. NMR in Biomedicine. 32(1). e4019–e4019. 22 indexed citations
20.
Canales‐Rodríguez, Erick J., Alessandro Daducci, Stamatios N. Sotiropoulos, et al.. (2014). Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and total variation spatial regularization. arXiv (Cornell University). 3 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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