Jesper Mosegaard

29 papers receiving 382 citations

Peers

Jesper Mosegaard
Comparison fields: 5 of 73
  • Computer Graphics and Computer-Aided Design 46
  • Computer Science Applications 23
  • Computer Vision and Pattern Recognition 81
  • Radiology, Nuclear Medicine and Imaging 91
  • Otorhinolaryngology 17
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D Stredney United States
Vincent Luboz France
B. Pflesser Germany
D Sessanna United States
Jérôme Schmid Switzerland
Anthony C. Fang Singapore
Federico Barbagli United States
Antonio Zorcolo Italy
Th. Schiemann Germany
Silvio Rizzi United States
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Countries citing papers authored by Jesper Mosegaard

Since Specialization
Citations

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

Fields of papers citing papers by Jesper Mosegaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesper Mosegaard. 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 Jesper Mosegaard. The network helps show where Jesper Mosegaard may publish in the future.

Co-authors

The 25 scholars most cited alongside Jesper Mosegaard, 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 Jesper Mosegaard Line = papers co-authored together Jesper Mosegaard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200978
2
A GPU accelerated spring mass system for surgical simulation.
200546
3 201535
4
The visible ear surgery simulator.
200834
5 200321
6 200621
7 200618
8 201718
9 201417
10 201511
11
Haptic feedback for the GPU-based surgical simulator.
200611
12 200811
13 201110
14 20049
15 20058
16 20148
17 20177
18 20176
19 20035
20 20165

About Jesper Mosegaard

Jesper Mosegaard is a scholar working on Computer Vision and Pattern Recognition, Surgery, Computational Mechanics, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 396 indexed citations. Recurring topics across this work include Surgical Simulation and Training (10 papers), 3D Shape Modeling and Analysis (9 papers), Computer Graphics and Visualization Techniques (7 papers), Ultrasound Imaging and Elastography (6 papers), Augmented Reality Applications (6 papers), Anatomy and Medical Technology (5 papers), Medical Image Segmentation Techniques (3 papers) and Microwave Imaging and Scattering Analysis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (46 citations), Computer Science Applications (23 citations), Computer Vision and Pattern Recognition (81 citations), Radiology, Nuclear Medicine and Imaging (91 citations) and Otorhinolaryngology (17 citations). Jesper Mosegaard has collaborated with scholars based in Denmark, Germany and France. Frequent co-authors include Thomas Sangild Sørensen, Mads Sølvsten Sørensen, Thomas Kim Kjeldsen, Karsten Østergaard Noe, Jørgen Arendt Jensen, Jens Bennedsen, Martin Christian Hemmsen, Peter Bøgh Andersen, Tommaso Di Ianni and Ole Kromann Hansen. Their work appears in journals such as Otology & Neurotology, The Visual Computer, Interactive Cardiovascular and Thoracic Surgery, Circulation and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

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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