Mario Ries

3.4k total citations
68 papers, 2.5k citations indexed

About

Mario Ries is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Mario Ries has authored 68 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 42 papers in Biomedical Engineering and 16 papers in Radiation. Recurrent topics in Mario Ries's work include Ultrasound and Hyperthermia Applications (38 papers), Advanced MRI Techniques and Applications (29 papers) and Photoacoustic and Ultrasonic Imaging (24 papers). Mario Ries is often cited by papers focused on Ultrasound and Hyperthermia Applications (38 papers), Advanced MRI Techniques and Applications (29 papers) and Photoacoustic and Ultrasonic Imaging (24 papers). Mario Ries collaborates with scholars based in Netherlands, France and Germany. Mario Ries's co-authors include Chrit Moonen, Baudouin Denis de Senneville, Richard A. Jones, N. Grenier, F. Basseau, Sébastien Roujol, Bruno Quesson, Vincent Dousset, C. Moonen and Cornel Zachiu and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Mario Ries

66 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Ries Netherlands 25 1.5k 925 315 266 214 68 2.5k
Magalie Viallon France 35 1.8k 1.2× 656 0.7× 411 1.3× 456 1.7× 380 1.8× 123 3.0k
Michael Bronskill Canada 32 3.3k 2.2× 1.1k 1.2× 245 0.8× 205 0.8× 430 2.0× 74 4.5k
Petros Martirosian Germany 38 3.2k 2.1× 462 0.5× 354 1.1× 533 2.0× 746 3.5× 177 4.3k
Peter M. Joseph United States 25 2.0k 1.3× 1.0k 1.1× 177 0.6× 169 0.6× 183 0.9× 62 2.4k
Vikas Gulani United States 39 5.6k 3.7× 493 0.5× 718 2.3× 307 1.2× 751 3.5× 132 6.8k
Huanzhou Yu United States 31 3.5k 2.3× 486 0.5× 245 0.8× 471 1.8× 118 0.6× 43 5.3k
Koichi Oshio United States 26 2.1k 1.4× 628 0.7× 366 1.2× 152 0.6× 163 0.8× 81 2.6k
Jean H. Brittain United States 34 4.3k 2.8× 623 0.7× 501 1.6× 737 2.8× 386 1.8× 78 6.5k
Keyvan Farahani United States 34 2.5k 1.7× 1.1k 1.2× 230 0.7× 365 1.4× 547 2.6× 87 4.7k
Xiaodong Zhong United States 27 1.3k 0.8× 417 0.5× 117 0.4× 208 0.8× 135 0.6× 113 2.5k

Countries citing papers authored by Mario Ries

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Ries

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ries. A scholar is included among the top collaborators of Mario Ries 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 Mario Ries. Mario Ries 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.
Ries, Mario, et al.. (2025). Hybrid method for estimating lung ventilation from CT by combining intensity and motion information. Medical Physics. 52(6). 4528–4539.
2.
Beaino, Wissam, Daniëlle J. Vugts, Guus A.M.S. van Dongen, et al.. (2025). Drug delivery strategies to cross the blood-brain barrier in Alzheimer’s disease: a comprehensive review on three promising strategies. The Journal of Prevention of Alzheimer s Disease. 12(7). 100204–100204. 3 indexed citations
3.
Bakker, A., et al.. (2024). Focused Ultrasound-Enhanced Liquid Biopsy: A Promising Diagnostic Tool for Brain Tumor Patients. Cancers. 16(8). 1576–1576. 6 indexed citations
4.
Zachiu, Cornel, et al.. (2023). Technical note: Intensity‐based quality assurance criteria for deformable image registration in image‐guided radiotherapy. Medical Physics. 50(9). 5715–5722. 7 indexed citations
5.
6.
Bianco, John, Marc Derieppe, Yen‐Hao Su, et al.. (2023). Radiosensitisation by olaparib through focused ultrasound delivery in a diffuse midline glioma model. Journal of Controlled Release. 357. 287–298. 13 indexed citations
7.
Ries, Mario, et al.. (2023). Integration of operator-validated contours in deformable image registration for dose accumulation in radiotherapy. Physics and Imaging in Radiation Oncology. 27. 100483–100483. 7 indexed citations
8.
Zachiu, Cornel, et al.. (2021). Quantitative investigation of dose accumulation errors from intra-fraction motion in MRgRT for prostate cancer. Physics in Medicine and Biology. 66(6). 65002–65002. 13 indexed citations
9.
Eranki, Avinash, Priya Srinivasan, Mario Ries, et al.. (2019). High-Intensity Focused Ultrasound (HIFU) Triggers Immune Sensitization of Refractory Murine Neuroblastoma to Checkpoint Inhibitor Therapy. Clinical Cancer Research. 26(5). 1152–1161. 137 indexed citations
10.
Senneville, Baudouin Denis de, Cornel Zachiu, Mario Ries, & C. Moonen. (2016). EVolution: an edge-based variational method for non-rigid multi-modal image registration. Physics in Medicine and Biology. 61(20). 7377–7396. 56 indexed citations
11.
Senneville, Baudouin Denis de, Chrit Moonen, & Mario Ries. (2015). MRI-Guided HIFU Methods for the Ablation of Liver and Renal Cancers. Advances in experimental medicine and biology. 880. 43–63. 39 indexed citations
12.
Greef, Martijn de, et al.. (2015). Cavitation-Enhanced Back Projection for Acoustic Rib Detection and Attenuation Mapping. Ultrasound in Medicine & Biology. 41(6). 1726–1736. 4 indexed citations
13.
Wijlemans, Joost W., Martijn de Greef, G. Schubert, et al.. (2014). Intrapleural Fluid Infusion for MR-Guided High-Intensity Focused Ultrasound Ablation in the Liver Dome. Academic Radiology. 21(12). 1597–1602. 12 indexed citations
14.
Roujol, Sébastien, et al.. (2011). Robust Adaptive Extended Kalman Filtering for Real Time MR-Thermometry Guided HIFU Interventions. IEEE Transactions on Medical Imaging. 31(3). 533–542. 36 indexed citations
15.
Smet, Mariska de, Christian Stehning, Holger Grüll, et al.. (2011). Simultaneous T1 measurements and proton resonance frequency shift based thermometry using variable flip angles. Magnetic Resonance in Medicine. 67(2). 457–463. 35 indexed citations
16.
Maclair, Grégory, Baudouin Denis de Senneville, Matthieu Lepetit‐Coiffé, et al.. (2009). Online correction of respiratory‐induced field disturbances for continuous MR‐thermometry in the breast. Magnetic Resonance in Medicine. 61(6). 1494–1499. 33 indexed citations
17.
Roujol, Sébastien, et al.. (2009). Online real‐time reconstruction of adaptive TSENSE with commodity CPU/GPU hardware. Magnetic Resonance in Medicine. 62(6). 1658–1664. 23 indexed citations
18.
Deckers, Roel, Peter van Gelderen, Mario Ries, et al.. (2006). An adaptive filter for suppression of cardiac and respiratory noise in MRI time series data. NeuroImage. 33(4). 1072–1081. 77 indexed citations
19.
Grenier, N., et al.. (2003). Functional MRI of the kidney. Abdominal Imaging. 28(2). 164–175. 99 indexed citations
20.
Ries, Mario, F. Basseau, Richard A. Jones, et al.. (2002). Renal diffusion and BOLD MRI in experimental diabetic nephropathy. Journal of Magnetic Resonance Imaging. 17(1). 104–113. 196 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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