Jonas Adler
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications 2
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- Medical Imaging Techniques and Applications 4
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- Advanced X-ray and CT Imaging 3
- Mechanics of Materials top 10%
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- Advanced Image Processing Techniques 2
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- Digital Radiography and Breast Imaging 2
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- Sparse and Compressive Sensing Techniques 2
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- Electrical and Bioimpedance Tomography 2
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- Electron and X-Ray Spectroscopy Techniques 2
- Co-authors
- Sebastian LunzSimon ArridgeAndreas HauptmannMarta M. BetckeNam HuynhBen CoxPaul C. BeardFelix Lucka
- Partner nations
- SwedenUnited KingdomNetherlands
In The Last Decade
Jonas Adler
12 papers receiving 359 citations
Peers
Comparison fields: 5 of 56
- Structural Biology 26
- Radiology, Nuclear Medicine and Imaging 184
- Biomedical Engineering 232
- Mechanics of Materials 123
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Jonas Adler
This map shows the geographic impact of Jonas Adler'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 Jonas Adler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Adler more than expected).
Fields of papers citing papers by Jonas Adler
This network shows the impact of papers produced by Jonas Adler. 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 Jonas Adler. The network helps show where Jonas Adler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonas Adler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | Multi-scale learned iterative reconstruction | 2020 | 9 |
| 3 | Kernel of CycleGAN as a principal homogeneous space | 2020 | 1 |
| 4 | 2020 | 17 | |
| 5 | 2019 | 0 | |
| 6 | Deep posterior sampling: Uncertainty quantification for large scale inverse problems | 2019 | 3 |
| 7 | 2019 | 2 | |
| 8 | 2018 | 14 | |
| 9 | Banach wasserstein GAN | 2018 | 56 |
| 10 | 2018 | 224 | |
| 11 | 2017 | 37 | |
| 12 | 2017 | 1 | |
| 13 | JMARS Software Development for NASA's 2035 Human Landing Site Assessment | 2016 | 1 |
| 14 | GPU Monte Carlo scatter calculations for Cone Beam Computed Tomography | 2014 | 0 |
About Jonas Adler
Jonas Adler is a scholar working on Structural Biology, Surfaces, Coatings and Films, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 14 papers that have together received 367 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Advanced X-ray and CT Imaging (3 papers), Digital Radiography and Breast Imaging (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Electrical and Bioimpedance Tomography (2 papers), Advanced Image Processing Techniques (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (26 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Biomedical Engineering (232 citations), Mechanics of Materials (123 citations) and Computer Vision and Pattern Recognition (72 citations). Jonas Adler has collaborated with scholars based in Sweden, United Kingdom and Netherlands. Frequent co-authors include Sebastian Lunz, Simon Arridge, Andreas Hauptmann, Marta M. Betcke, Nam Huynh, Ben Cox, Paul C. Beard, Felix Lucka, Sébastien Ourselin and Ozan Öktem. Their work appears in journals such as IEEE Transactions on Medical Imaging, IUCrJ, Ultramicroscopy, SIAM Journal on Optimization and KTH Publication Database DiVA (KTH Royal Institute of Technology).
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.