Jens Sjölund
- Radiology, Nuclear Medicine and Imaging top 5%
- Radiation top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Pediatrics, Perinatology and Child Health
- Co-authors
- Hans KnutssonFilip SzczepankiewiczManne AnderssonDaniel ForsbergMarkus NilssonCarl‐Fredrik WestinThomas B. SchönDaniel Topgaard
- Topics
- Advanced Neuroimaging Techniques and Applications (6 papers)Advanced MRI Techniques and Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
In The Last Decade
Jens Sjölund
21 papers receiving 473 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 347
- Radiation 97
- Computer Vision and Pattern Recognition 92
- Biomedical Engineering 57
- Pediatrics, Perinatology and Child Health 41
Countries citing papers authored by Jens Sjölund
This map shows the geographic impact of Jens Sjölund'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 Jens Sjölund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Sjölund more than expected).
Fields of papers citing papers by Jens Sjölund
This network shows the impact of papers produced by Jens Sjölund. 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 Jens Sjölund. The network helps show where Jens Sjölund may publish in the future.
Co-authorship network of co-authors of Jens Sjölund
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Sjölund. A scholar is included among the top collaborators of Jens Sjölund 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 Jens Sjölund. Jens Sjölund 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 | 5 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 67 | |
| 11 | 11 | |
| 12 | 25 | |
| 13 | 69 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 32 | |
| 17 | 93 | |
| 18 | 119 | |
| 19 | 8 | |
| 20 | Dose planning from MRI using machine learning for automatic segmentation of skull and air | 0 |
About Jens Sjölund
Jens Sjölund is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Automotive Engineering, having authored 24 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Computational Mathematics (21 citations), Radiology, Nuclear Medicine and Imaging (347 citations) and Radiation (97 citations). Jens Sjölund has collaborated with scholars based in Sweden, Germany and Pakistan. Frequent co-authors include Hans Knutsson, Filip Szczepankiewicz, Manne Andersson, Daniel Forsberg, Markus Nilsson, Carl‐Fredrik Westin, Thomas B. Schön, Daniel Topgaard, Ziwei Luo and Fredrik Gustafsson. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.