Karsten Østergaard Noe

527 citations
14 papers · 416 · h-index 9

Impact in

Papers in

Karsten Østergaard Noe

14 papers receiving 408 citations

Peers

Karsten Østergaard Noe
Comparison fields: 5 of 72
  • Radiation 204
  • Radiology, Nuclear Medicine and Imaging 227
  • Obstetrics and Gynecology 70
  • Computer Vision and Pattern Recognition 83
  • Computer Graphics and Computer-Aided Design 11
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Countries citing papers authored by Karsten Østergaard Noe

Since Specialization
Citations

This map shows the geographic impact of Karsten Østergaard Noe'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 Karsten Østergaard Noe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Østergaard Noe more than expected).

Fields of papers citing papers by Karsten Østergaard Noe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karsten Østergaard Noe. 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 Karsten Østergaard Noe. The network helps show where Karsten Østergaard Noe may publish in the future.

Co-authors

The 25 scholars most cited alongside Karsten Østergaard Noe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karsten Østergaard Noe Line = papers co-authored together Karsten Østergaard Noe links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200888
2 200864
3 201358
4 201251
5 201535
6
The visible ear surgery simulator.
200834
7 201427
8 201527
9 201110
10 20117
11
GPU accelerated viscous-fluid deformable registration for radiotherapy.
20086
12 20075
13 20103
14
A framework for shape matching in deformable image registration.
20081

About Karsten Østergaard Noe

Karsten Østergaard Noe is a scholar working on Radiation, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 14 papers that have together received 416 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (8 papers), Medical Imaging Techniques and Applications (5 papers), Medical Image Segmentation Techniques (4 papers), 3D Shape Modeling and Analysis (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Advanced MRI Techniques and Applications (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Radiation (204 citations), Radiology, Nuclear Medicine and Imaging (227 citations), Obstetrics and Gynecology (70 citations), Computer Vision and Pattern Recognition (83 citations) and Computer Graphics and Computer-Aided Design (11 citations). Karsten Østergaard Noe has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Thomas Sangild Sørensen, Kari Tanderup, Michael S. Hansen, Tobias Schaeffter, U.V. Elstrøm, Jesper Mosegaard, Baudouin Denis de Senneville, Mads Sølvsten Sørensen, Jacob Christian Lindegaard and Maria Thor. Their work appears in journals such as Acta Oncologica, IEEE Transactions on Medical Imaging, Radiotherapy and Oncology, Brachytherapy and Physics in Medicine and Biology.

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.

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