Johannes Ulén
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging 18
- Medical Imaging Techniques and Applications 13
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- Prostate Cancer Treatment and Research 8
- Prostate Cancer Diagnosis and Treatment 7
- Lung Cancer Diagnosis and Treatment 4
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- Advanced X-ray and CT Imaging 3
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- Nutrition and Health in Aging 3
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- Cardiovascular Disease and Adiposity 2
- Co-authors
- Olof EnqvistElin TrägårdhLars EdenbrandtReza KabotehPablo BorrelliMay SadikPoul Flemming Høilund‐CarlsenMads Hvid Poulsen
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (2 papers)Pattern Recognition Letters (1 paper)
In The Last Decade
Johannes Ulén
28 papers receiving 460 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 21
- Radiology, Nuclear Medicine and Imaging 330
- Pulmonary and Respiratory Medicine 183
- Geriatrics and Gerontology 16
- Radiation 28
Countries citing papers authored by Johannes Ulén
This map shows the geographic impact of Johannes Ulén'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 Johannes Ulén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Ulén more than expected).
Fields of papers citing papers by Johannes Ulén
This network shows the impact of papers produced by Johannes Ulén. 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 Johannes Ulén. The network helps show where Johannes Ulén may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johannes Ulén, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 35 | |
| 14 | 2020 | 66 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 30 | |
| 18 | Artificial Intelligence Based Method for Automated PET/CT Measurements of Prostate Gland Volume and Choline Uptake | 2018 | 1 |
| 19 | 2018 | 18 | |
| 20 | Good Features for Reliable Registration in Multi-Atlas Segmentation | 2015 | 9 |
About Johannes Ulén
Johannes Ulén is a scholar working on Radiology, Nuclear Medicine and Imaging, Geriatrics and Gerontology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 467 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Medical Imaging Techniques and Applications (13 papers), Prostate Cancer Treatment and Research (8 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Lung Cancer Diagnosis and Treatment (4 papers), Advanced X-ray and CT Imaging (3 papers), Nutrition and Health in Aging (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (330 citations) and Pulmonary and Respiratory Medicine (183 citations). Johannes Ulén has collaborated with scholars based in Sweden, Denmark and India. Frequent co-authors include Olof Enqvist, Elin Trägårdh, Lars Edenbrandt, Reza Kaboteh, Pablo Borrelli, May Sadik, Poul Flemming Høilund‐Carlsen, Mads Hvid Poulsen, Jane Angel Simonsen and Henrik Kjölhede. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pattern Recognition Letters.
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.