Sune Darkner
- Health Informatics top 10%
- Otorhinolaryngology top 5%
- Cognitive Neuroscience top 10%
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- Medical Image Segmentation Techniques 14
- Face and Expression Recognition 5
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- Medical Imaging Techniques and Applications 10
- Radiomics and Machine Learning in Medical Imaging 6
- Advanced MRI Techniques and Applications 6
- Advanced Neuroimaging Techniques and Applications 6
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- 3D Shape Modeling and Analysis 6
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- Advanced Radiotherapy Techniques 4
- Co-authors
- Poul JennumMathias PerslevChristian IgelMiki NikolicRasmus LarsenJon SporringKenny ErlebenSteven Laureys
- Journals
- Alzheimer s & Dementia (3 papers)PLoS ONE (3 papers)Computer Methods and Programs in Biomedicine (2 papers)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Sune Darkner
58 papers receiving 858 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 18
- Otorhinolaryngology 54
- Cognitive Neuroscience 220
- Computer Vision and Pattern Recognition 166
- Radiology, Nuclear Medicine and Imaging 150
Countries citing papers authored by Sune Darkner
This map shows the geographic impact of Sune Darkner'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 Sune Darkner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sune Darkner more than expected).
Fields of papers citing papers by Sune Darkner
This network shows the impact of papers produced by Sune Darkner. 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 Sune Darkner. The network helps show where Sune Darkner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sune Darkner, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 30 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 5 | |
| 12 | 2018 | 80 | |
| 13 | 2017 | 43 | |
| 14 | 2016 | 87 | |
| 15 | 2014 | 80 | |
| 16 | 2012 | 14 | |
| 17 | 2011 | 10 | |
| 18 | Higher Order Kernels and Locally Affine LDDMM Registration | 2011 | 2 |
| 19 | 2011 | 6 | |
| 20 | 2008 | 5 |
About Sune Darkner
Sune Darkner is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 64 papers that have together received 883 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced MRI Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), 3D Shape Modeling and Analysis (6 papers), Face and Expression Recognition (5 papers) and Advanced Radiotherapy Techniques (4 papers). The work is most often cited by research in Health Informatics (18 citations), Otorhinolaryngology (54 citations) and Cognitive Neuroscience (220 citations). Sune Darkner has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Poul Jennum, Mathias Perslev, Christian Igel, Miki Nikolic, Rasmus Larsen, Jon Sporring, Kenny Erleben, Steven Laureys, Ron Kupers and Kristian Nygaard Mortensen. Their work appears in journals such as Alzheimer s & Dementia, PLoS ONE, Computer Methods and Programs in Biomedicine, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Medical Imaging.
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.