Alessandro Sbrizzi

755 total citations
57 papers, 512 citations indexed

About

Alessandro Sbrizzi is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Alessandro Sbrizzi has authored 57 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Spectroscopy and 9 papers in Biomedical Engineering. Recurrent topics in Alessandro Sbrizzi's work include Advanced MRI Techniques and Applications (50 papers), Medical Imaging Techniques and Applications (23 papers) and Ultrasound Imaging and Elastography (10 papers). Alessandro Sbrizzi is often cited by papers focused on Advanced MRI Techniques and Applications (50 papers), Medical Imaging Techniques and Applications (23 papers) and Ultrasound Imaging and Elastography (10 papers). Alessandro Sbrizzi collaborates with scholars based in Netherlands, Germany and United Kingdom. Alessandro Sbrizzi's co-authors include Cornelis A. T. van den Berg, Peter R. Luijten, Hans Hoogduin, J J W Lagendijk, Alexander Raaijmakers, Stefano Mandija, Gérard L. G. Sleijpen, Ulrich Katscher, Joseph V. Hajnal and Matteo Maspero and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Access.

In The Last Decade

Alessandro Sbrizzi

49 papers receiving 510 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alessandro Sbrizzi Netherlands 13 449 113 105 91 78 57 512
William B. Handler Canada 14 328 0.7× 74 0.7× 142 1.4× 121 1.3× 71 0.9× 41 449
Patrick Virtue United States 7 911 2.0× 115 1.0× 217 2.1× 91 1.0× 25 0.3× 14 1.0k
Cristen LaPierre United States 6 373 0.8× 75 0.7× 207 2.0× 168 1.8× 51 0.7× 11 570
Jin Jin Australia 16 338 0.8× 126 1.1× 114 1.1× 83 0.9× 67 0.9× 67 652
Thomas O’Reilly Netherlands 14 443 1.0× 102 0.9× 212 2.0× 124 1.4× 77 1.0× 35 617
Ramesh Venkatesan India 4 372 0.8× 72 0.6× 101 1.0× 50 0.5× 31 0.4× 5 490
Mariya Doneva Germany 17 924 2.1× 109 1.0× 176 1.7× 71 0.8× 26 0.3× 42 1.0k
George R. Duensing United States 12 591 1.3× 76 0.7× 155 1.5× 106 1.2× 23 0.3× 25 629
Patrick C. McDaniel United States 7 353 0.8× 70 0.6× 153 1.5× 84 0.9× 35 0.4× 7 436
Mathieu Sarracanie Switzerland 9 435 1.0× 111 1.0× 274 2.6× 172 1.9× 37 0.5× 19 638

Countries citing papers authored by Alessandro Sbrizzi

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Sbrizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Sbrizzi

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Sbrizzi. A scholar is included among the top collaborators of Alessandro Sbrizzi 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 Sbrizzi. Alessandro Sbrizzi 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.
Aquino, Domenico, Cristina Baldoli, Maurizio Elia, et al.. (2025). Repeatability and reproducibility of joint T1-T2 transient-state relaxometry across multiple vendors and implementations at 3T in phantom and human brain. NeuroImage. 320. 121471–121471.
2.
Keyser, Andreas, et al.. (2025). Exploring scenarios for implementing fast quantitative MRI. European Journal of Radiology Open. 14. 100658–100658.
3.
Berg, Cornelis A. T. van den, et al.. (2024). High SNR full brain relaxometry at 7T by accelerated MR‐STAT. Magnetic Resonance in Medicine. 92(1). 226–235.
4.
Berg, Cornelis A. T. van den, et al.. (2024). GPU‐accelerated Bloch simulations and MR‐STAT reconstructions using the Julia programming language. Magnetic Resonance in Medicine. 92(2). 618–630. 1 indexed citations
5.
Berg, Cornelis A. T. van den, et al.. (2024). Time‐efficient, high‐resolution 3T whole‐brain relaxometry using Cartesian 3D MR Spin TomogrAphy in Time‐Domain (MR‐STAT) with cerebrospinal fluid suppression. Magnetic Resonance in Medicine. 93(5). 2008–2019. 1 indexed citations
6.
Schakel, Tim, et al.. (2024). Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast. Magnetic Resonance Materials in Physics Biology and Medicine. 37(5). 807–823. 1 indexed citations
7.
Leeuwen, Tristan van, et al.. (2024). Data-Driven Discovery of Mechanical Models Directly From MRI Spectral Data. IEEE Transactions on Computational Imaging. 10. 1640–1649.
9.
Berg, Cornelis A. T. van den, et al.. (2023). Water diffusion and T2 quantification in transient‐state MRI: the effect of RF pulse sequence. NMR in Biomedicine. 37(1). e5044–e5044. 1 indexed citations
10.
Mandija, Stefano, et al.. (2023). Generalizable synthetic MRI with physics‐informed convolutional networks. Medical Physics. 51(5). 3348–3359. 2 indexed citations
11.
Sbrizzi, Alessandro, et al.. (2023). Static Future Technologies, Dynamic Professionalism — Co-creating Future Scenarios in Medical Imaging Practices. Postdigital Science and Education. 6(1). 135–153. 2 indexed citations
12.
Leeuwen, Tristan van, et al.. (2023). Time-Resolved Reconstruction of Motion, Force, and Stiffness Using Spectro-Dynamic MRI. IEEE Transactions on Computational Imaging. 9. 917–927. 1 indexed citations
13.
Berg, Cornelis A. T. van den, et al.. (2022). Efficient performance analysis and optimization of transient‐state sequences for multiparametric magnetic resonance imaging. NMR in Biomedicine. 36(3). e4864–e4864. 8 indexed citations
14.
Mandija, Stefano, et al.. (2022). Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes. IEEE Transactions on Medical Imaging. 41(10). 2681–2692. 6 indexed citations
15.
Maspero, Matteo, et al.. (2022). -loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning. Medical Image Analysis. 80. 102509–102509. 11 indexed citations
16.
Sbrizzi, Alessandro, et al.. (2020). Accelerated MR-STAT Reconstructions Using Sparse Hessian Approximations. IEEE Transactions on Medical Imaging. 39(11). 3737–3748. 8 indexed citations
17.
Sbrizzi, Alessandro, et al.. (2020). High‐resolution in vivo MR‐STAT using a matrix‐free and parallelized reconstruction algorithm. NMR in Biomedicine. 33(4). e4251–e4251. 13 indexed citations
18.
Mandija, Stefano, Federico D’Agata, Alessandro Sbrizzi, et al.. (2019). Brain and Head-and-Neck MRI in Immobilization Mask: A Practical Solution for MR-Only Radiotherapy. Frontiers in Oncology. 9. 647–647. 12 indexed citations
19.
Sbrizzi, Alessandro, Martijn A. Cloos, Annette van der Toorn, et al.. (2017). Fast quantitative MRI as a nonlinear tomography problem. Magnetic Resonance Imaging. 46. 56–63. 49 indexed citations
20.
Sbrizzi, Alessandro, Hans Hoogduin, J J W Lagendijk, et al.. (2011). Time efficient design of multi dimensional RF pulses: Application of a multi shift CGLS algorithm. Magnetic Resonance in Medicine. 66(3). 879–885. 21 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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