Jan Aelterman
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Media Technology top 5%
- Computational Mechanics top 10%
- Co-authors
- Wilfried PhilipsAleksandra PižuricaHiêp LuongAlexander LeemansDaniele PerroneBen JeurissenBart GoossensMatthieu Boone
- Topics
- Image and Signal Denoising Methods (19 papers)Advanced MRI Techniques and Applications (15 papers)Image Enhancement Techniques (15 papers)
- Partner nations
- BelgiumNetherlandsEcuador
In The Last Decade
Jan Aelterman
69 papers receiving 700 citations
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 303
- Computer Vision and Pattern Recognition 199
- Biomedical Engineering 94
- Media Technology 91
- Computational Mechanics 88
Countries citing papers authored by Jan Aelterman
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 13 | |
| 7 | 34 | |
| 8 | 39 | |
| 9 | Automated Membrane Detection in Electron Microscopy using Convolutional Neural Networks | 2 |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 86 | |
| 14 | 29 | |
| 15 | 52 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | Gibbs artifact suppression for DT-MRI data | 1 |
About Jan Aelterman
Jan Aelterman is a scholar working on Computer Vision and Pattern Recognition, Structural Biology and Media Technology, having authored 78 papers that have together received 713 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (19 papers), Advanced MRI Techniques and Applications (15 papers) and Image Enhancement Techniques (15 papers). The work is most often cited by research in Structural Biology (30 citations), Radiology, Nuclear Medicine and Imaging (303 citations) and Media Technology (91 citations). Jan Aelterman has collaborated with scholars based in Belgium, Netherlands and Ecuador. Frequent co-authors include Wilfried Philips, Aleksandra Pižurica, Hiêp Luong, Alexander Leemans, Daniele Perrone, Ben Jeurissen, Bart Goossens, Matthieu Boone, Timo Roine and Jan Sijbers. Their work appears in journals such as Nature Communications, PLoS ONE and NeuroImage.
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.