Jan Aelterman

1.1k total citations
78 papers, 713 citations indexed

About

Jan Aelterman is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology. According to data from OpenAlex, Jan Aelterman has authored 78 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 21 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Media Technology. Recurrent topics in Jan Aelterman's work include Image and Signal Denoising Methods (19 papers), Advanced MRI Techniques and Applications (15 papers) and Image Enhancement Techniques (15 papers). Jan Aelterman is often cited by papers focused on Image and Signal Denoising Methods (19 papers), Advanced MRI Techniques and Applications (15 papers) and Image Enhancement Techniques (15 papers). Jan Aelterman collaborates with scholars based in Belgium, Netherlands and Ecuador. Jan Aelterman's co-authors include Wilfried Philips, Aleksandra Pižurica, Hiêp Luong, Alexander Leemans, Daniele Perrone, Ben Jeurissen, Bart Goossens, Matthieu Boone, Timo Roine and Jan Sijbers and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Jan Aelterman

69 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Aelterman Belgium 15 303 199 94 91 88 78 713
Ewout Vansteenkiste Belgium 11 179 0.6× 216 1.1× 76 0.8× 84 0.9× 23 0.3× 53 499
Francis Lilley United Kingdom 13 189 0.6× 338 1.7× 107 1.1× 135 1.5× 33 0.4× 36 703
Hussein S. Abdul-Rahman United Kingdom 8 182 0.6× 97 0.5× 28 0.3× 37 0.4× 38 0.4× 12 371
Christian Heinrich France 14 169 0.6× 164 0.8× 130 1.4× 30 0.3× 29 0.3× 62 1.0k
Xiaodong Guo China 17 337 1.1× 119 0.6× 190 2.0× 24 0.3× 20 0.2× 41 794
Yoshihisa Aizu Japan 19 671 2.2× 104 0.5× 500 5.3× 66 0.7× 99 1.1× 115 1.2k
Antonio Tristán‐Vega Spain 16 767 2.5× 245 1.2× 76 0.8× 46 0.5× 93 1.1× 55 992
G. Gimenez France 15 283 0.9× 140 0.7× 272 2.9× 20 0.2× 22 0.3× 56 733
Murat Tahtalı Australia 13 70 0.2× 292 1.5× 90 1.0× 90 1.0× 21 0.2× 90 666
Matthew Toews Canada 19 428 1.4× 436 2.2× 143 1.5× 26 0.3× 16 0.2× 53 1.1k

Countries citing papers authored by Jan Aelterman

Since Specialization
Citations

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

Fields of papers citing papers by Jan Aelterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Aelterman

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Aelterman. A scholar is included among the top collaborators of Jan Aelterman 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 Jan Aelterman. Jan Aelterman 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.
Hoorebeke, Luc Van, et al.. (2024). Method for auto-alignment and determination of parameter space in dual-phase grating interferometry. Optics Express. 32(8). 14607–14607. 1 indexed citations
2.
Aelterman, Jan, et al.. (2024). A Display-Adaptive Pipeline for Dynamic Range Expansion of Standard Dynamic Range Video Content. Applied Sciences. 14(10). 4081–4081. 2 indexed citations
3.
Aelterman, Jan, et al.. (2023). High-Dynamic-Range Tone Mapping in Intelligent Automotive Systems. Sensors. 23(12). 5767–5767. 4 indexed citations
4.
5.
Aelterman, Jan, et al.. (2021). Geometrical and deep learning approaches for instance segmentation of CFRP fiber bundles in textile composites. Composite Structures. 277. 114626–114626. 20 indexed citations
6.
Boone, Matthieu, Matias Kagias, Federica Marone, et al.. (2021). Tunable X-ray dark-field imaging for sub-resolution feature size quantification in porous media. Scientific Reports. 11(1). 18446–18446. 13 indexed citations
7.
Roels, Joris, Amanda Gonçalves, Jan Aelterman, et al.. (2020). An interactive ImageJ plugin for semi-automated image denoising in electron microscopy. Nature Communications. 11(1). 771–771. 34 indexed citations
8.
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
9.
Roels, Joris, Jonas De Vylder, Jan Aelterman, Yvan Saeys, & Wilfried Philips. (2016). Automated Membrane Detection in Electron Microscopy using Convolutional Neural Networks. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
10.
Perrone, Daniele, Ben Jeurissen, Jan Aelterman, et al.. (2016). D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data. PLoS ONE. 11(3). e0149778–e0149778. 5 indexed citations
11.
Roels, Joris, Jan Aelterman, Jonas De Vylder, et al.. (2016). Image Degradation in Microscopic Images: Avoidance, Artifacts, and Solutions. Advances in anatomy, embryology and cell biology. 219. 41–67. 4 indexed citations
12.
Panić, Marko, Jan Aelterman, Vladimir Crnojević, & Aleksandra Pižurica. (2016). Compressed sensing in MRI with a Markov random field prior for spatial clustering of subband coefficients. 1. 562–566. 6 indexed citations
13.
Perrone, Daniele, Jan Aelterman, Aleksandra Pižurica, et al.. (2015). The effect of Gibbs ringing artifacts on measures derived from diffusion MRI. NeuroImage. 120. 441–455. 86 indexed citations
14.
Roine, Timo, Ben Jeurissen, Daniele Perrone, et al.. (2015). Informed constrained spherical deconvolution (iCSD). Medical Image Analysis. 24(1). 269–281. 29 indexed citations
15.
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
16.
Aelterman, Jan, Maarten Naeyaert, Hiêp Luong, et al.. (2014). Automatic High-Bandwidth Calibration and Reconstruction of Arbitrarily Sampled Parallel MRI. PLoS ONE. 9(6). e98937–e98937. 3 indexed citations
17.
Aelterman, Jan, Bart Goossens, Jonas De Vylder, Aleksandra Pižurica, & Wilfried Philips. (2013). Computationally Efficient Locally Adaptive Demosaicing of Color Filter Array Images Using the Dual-Tree Complex Wavelet Packet Transform. PLoS ONE. 8(5). e61846–e61846. 9 indexed citations
18.
Vylder, Jonas De, et al.. (2013). A Novel Dictionary Based Computer Vision Method for the Detection of Cell Nuclei. PLoS ONE. 8(1). e54068–e54068. 4 indexed citations
19.
Luong, Hiêp, Bart Goossens, Jan Aelterman, Ljiljana Platiša, & Wilfried Philips. (2012). Optimizing image quality in MRI: On the evaluation of k-space trajectories for under-sampled MR acquisition. 25–26. 3 indexed citations
20.
Perrone, Daniele, Jan Aelterman, Jan Sijbers, et al.. (2011). Gibbs artifact suppression for DT-MRI data. Ghent University Academic Bibliography (Ghent University). 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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