Ben Jeurissen

12.0k total citations · 6 hit papers
79 papers, 7.5k citations indexed

About

Ben Jeurissen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Ben Jeurissen has authored 79 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Cognitive Neuroscience and 13 papers in Orthopedics and Sports Medicine. Recurrent topics in Ben Jeurissen's work include Advanced Neuroimaging Techniques and Applications (62 papers), Advanced MRI Techniques and Applications (38 papers) and MRI in cancer diagnosis (22 papers). Ben Jeurissen is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (62 papers), Advanced MRI Techniques and Applications (38 papers) and MRI in cancer diagnosis (22 papers). Ben Jeurissen collaborates with scholars based in Belgium, Netherlands and United Kingdom. Ben Jeurissen's co-authors include Jan Sijbers, Alexander Leemans, Jacques‐Donald Tournier, Derek K. Jones, Thijs Dhollander, Alan Connelly, Robert E. Smith, Maximilian Pietsch, David Raffelt and Daan Christiaens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Ben Jeurissen

78 papers receiving 7.4k citations

Hit Papers

MRtrix3: A fast, flexible and open... 2009 2026 2014 2020 2019 2014 2012 2009 2013 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
    2019 1.7k citations Jacques‐Donald Tournier, Robert E. Smith et al. NeuroImage profile →
  2. Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
    2014 895 citations Ben Jeurissen, Jacques‐Donald Tournier et al. NeuroImage profile →
  3. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging
    2012 803 citations Ben Jeurissen, Alexander Leemans et al. Human Brain Mapping profile →
  4. ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data
    2009 684 citations Alexander Leemans, Ben Jeurissen et al. profile →
  5. Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls
    2013 366 citations Jelle Veraart, Jan Sijbers et al. NeuroImage profile →
  6. Diffusion MRI fiber tractography of the brain
    2017 341 citations Ben Jeurissen, Alexander Leemans et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Jeurissen Belgium 32 5.8k 2.7k 1.4k 747 740 79 7.5k
Maxime Descoteaux Canada 47 6.7k 1.2× 2.9k 1.1× 1.7k 1.2× 516 0.7× 626 0.8× 247 8.8k
Chris A. Clark United Kingdom 39 5.6k 1.0× 2.0k 0.7× 1.5k 1.0× 895 1.2× 801 1.1× 167 8.0k
David S. Tuch United States 32 5.6k 1.0× 2.4k 0.9× 1.3k 0.9× 921 1.2× 757 1.0× 54 7.3k
Wen‐Yih Isaac Tseng Taiwan 48 6.3k 1.1× 3.7k 1.4× 1.2k 0.8× 1.3k 1.7× 766 1.0× 216 10.1k
Aaron S. Field United States 36 4.5k 0.8× 1.8k 0.7× 986 0.7× 637 0.9× 802 1.1× 93 6.6k
Yaniv Assaf Israel 44 6.3k 1.1× 2.4k 0.9× 1.1k 0.8× 611 0.8× 903 1.2× 119 9.0k
Mariana Lazar United States 27 4.5k 0.8× 2.3k 0.8× 1.3k 0.9× 830 1.1× 828 1.1× 62 6.4k
Cyril Poupon France 47 7.2k 1.2× 3.4k 1.3× 1.9k 1.4× 1.2k 1.5× 1.4k 1.9× 187 10.4k
Hangyi Jiang United States 25 6.1k 1.1× 2.9k 1.1× 2.0k 1.4× 1.5k 2.0× 983 1.3× 41 8.0k
Sean Deoni United States 44 3.9k 0.7× 2.0k 0.7× 1.6k 1.1× 622 0.8× 454 0.6× 148 7.5k

Countries citing papers authored by Ben Jeurissen

Since Specialization
Citations

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

Fields of papers citing papers by Ben Jeurissen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Jeurissen

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Jeurissen. A scholar is included among the top collaborators of Ben Jeurissen 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 Ben Jeurissen. Ben Jeurissen 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.
Snoeckx, Annemiek, et al.. (2024). Deep Learning–Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment. Investigative Radiology. 60(3). 220–233. 6 indexed citations
2.
Osch, Matthias J.P. van, et al.. (2024). Model-based super-resolution reconstruction for pseudo-continuous Arterial Spin Labeling. NeuroImage. 286. 120506–120506. 1 indexed citations
3.
4.
Jeurissen, Ben, et al.. (2023). Super-Resolution Reconstruction of Multi-Slice T2-W FLAIR MRI Improves Multiple Sclerosis Lesion Segmentation. PubMed. 2023. 1–4. 1 indexed citations
5.
Szczepankiewicz, Filip, et al.. (2022). Optimal experimental design and estimation for q‐space trajectory imaging. Human Brain Mapping. 44(4). 1793–1809. 3 indexed citations
6.
Smith, Robert E., Hanne Struyfs, Ellis Niemantsverdriet, et al.. (2022). Investigating Tissue-Specific Abnormalities in Alzheimer’s Disease with Multi-Shell Diffusion MRI. Journal of Alzheimer s Disease. 90(4). 1771–1791. 6 indexed citations
7.
Park, Haeme R. P., et al.. (2021). Associations between different white matter properties and reward-based performance modulation. Brain Structure and Function. 226(4). 1007–1021. 4 indexed citations
8.
Tournier, Jacques‐Donald, Robert E. Smith, David Raffelt, et al.. (2019). MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage. 202. 116137–116137. 1682 indexed citations breakdown →
9.
Roine, Timo, Ben Jeurissen, Daniele Perrone, et al.. (2018). Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks. Medical Image Analysis. 52. 56–67. 39 indexed citations
10.
Aerts, Hannelore, Michael Schirner, Ben Jeurissen, et al.. (2018). Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain. eNeuro. 5(3). ENEURO.0083–18.2018. 43 indexed citations
11.
Ombergen, Angelique Van, Floris L. Wuyts, Ben Jeurissen, et al.. (2017). Intrinsic functional connectivity reduces after first-time exposure to short-term gravitational alterations induced by parabolic flight. Scientific Reports. 7(1). 3061–3061. 23 indexed citations
12.
Jeurissen, Ben, Jelle Veraart, Arnold J. den Dekker, et al.. (2015). Super‐resolution reconstruction of diffusion parameters from diffusion‐weighted images with different slice orientations. Magnetic Resonance in Medicine. 75(1). 181–195. 37 indexed citations
13.
Jeurissen, Ben, Jacques‐Donald Tournier, Thijs Dhollander, Alan Connelly, & Jan Sijbers. (2014). Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data. NeuroImage. 103. 411–426. 895 indexed citations breakdown →
14.
Roine, Timo, Ben Jeurissen, Daniele Perrone, et al.. (2014). Isotropic non-white matter partial volume effects in constrained spherical deconvolution. Frontiers in Neuroinformatics. 8. 28–28. 52 indexed citations
15.
Veraart, Jelle, Jan Sijbers, Stefan Sunaert, Alexander Leemans, & Ben Jeurissen. (2013). Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls. NeuroImage. 81. 335–346. 366 indexed citations breakdown →
16.
Emsell, Louise, Alexander Leemans, Camilla Langan, et al.. (2012). Limbic and Callosal White Matter Changes in Euthymic Bipolar I Disorder: An Advanced Diffusion Magnetic Resonance Imaging Tractography Study. Biological Psychiatry. 73(2). 194–201. 88 indexed citations
17.
Rajan, Jeny, Ben Jeurissen, Marleen Verhoye, Johan Van Audekerke, & Jan Sijbers. (2011). Maximum likelihood estimation-based denoising of magnetic resonance images using restricted local neighborhoods. Physics in Medicine and Biology. 56(16). 5221–5234. 54 indexed citations
18.
Veraart, Jelle, Trygve B. Leergaard, Wim Van Hecke, et al.. (2011). Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain. NeuroImage. 58(4). 975–983. 28 indexed citations
19.
Jeurissen, Ben, Alexander Leemans, Derek K. Jones, Jacques‐Donald Tournier, & Jan Sijbers. (2010). Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution. Human Brain Mapping. 32(3). 461–479. 292 indexed citations
20.
Jeurissen, Ben, Alexander Leemans, Jacques‐Donald Tournier, & Jan Sijbers. (2008). Estimation of uncertainty in constrained spherical deconvolution fiber orientations. 23. 907–910. 5 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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