Are Losnegård
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Rheumatology
- Biomedical Engineering
- Co-authors
- Arvid LundervoldChristian BeislandOle J. HalvorsenLars A. R. ReisæterErlend HodnelandKarsten GravdalL.P. MurenMartin Biermann
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Prostate Cancer Diagnosis and Treatment (6 papers)Medical Image Segmentation Techniques (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineComputational Mathematics
- Partner nations
- NorwayPolandNetherlands
In The Last Decade
Are Losnegård
13 papers receiving 142 citations
Peers
Comparison fields: 5 of 28
- Pulmonary and Respiratory Medicine 99
- Radiology, Nuclear Medicine and Imaging 99
- Computer Vision and Pattern Recognition 21
- Rheumatology 17
- Biomedical Engineering 17
Countries citing papers authored by Are Losnegård
This map shows the geographic impact of Are Losnegård'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 Are Losnegård with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Are Losnegård more than expected).
Fields of papers citing papers by Are Losnegård
This network shows the impact of papers produced by Are Losnegård. 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 Are Losnegård. The network helps show where Are Losnegård may publish in the future.
Co-authorship network of co-authors of Are Losnegård
This figure shows the co-authorship network connecting the top 25 collaborators of Are Losnegård. A scholar is included among the top collaborators of Are Losnegård 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 Are Losnegård. Are Losnegård is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 30 | |
| 3 | 32 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | Fast marching tractography from multiple diffusion sensitizing directions in MR-DTI from the brain | 2 |
| 13 | 11 | |
| 14 | 2 |
About Are Losnegård
Are Losnegård is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 143 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (99 citations), Pulmonary and Respiratory Medicine (99 citations) and Computational Mathematics (1 citation). Are Losnegård has collaborated with scholars based in Norway, Poland and Netherlands. Frequent co-authors include Arvid Lundervold, Christian Beisland, Ole J. Halvorsen, Lars A. R. Reisæter, Erlend Hodneland, Karsten Gravdal, L.P. Muren, Martin Biermann, Lars A. Akslen and Jarle Rørvik. Their work appears in journals such as Physics in Medicine and Biology, Radiotherapy and Oncology and European Radiology.
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.