Jon Kaspersen

680 citations
23 papers · 574 · h-index 11

Impact in

Papers in

Jon Kaspersen

23 papers receiving 542 citations

Peers

Jon Kaspersen
Comparison fields: 5 of 83
  • Neurology 98
  • Computational Mechanics 141
  • Environmental Engineering 67
  • Computer Vision and Pattern Recognition 84
  • Radiology, Nuclear Medicine and Imaging 73
Replace Nicolas Buchmann with:
Nicolas Buchmann Australia
Tomer Anor United States
J. A. Moore Canada
Pierre A. Gremaud United States
Zifeng Yang United States
Alberto Gambaruto United Kingdom
M. Ojha Canada
Mohamed Soufiane Jouini United Arab Emirates
Romain Guibert France
Daniele E. Schiavazzi United States
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Citations per field
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Nicolas Buchmann · 1×
Citations per year

Countries citing papers authored by Jon Kaspersen

Since Specialization
Citations

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

Fields of papers citing papers by Jon Kaspersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008149
2 199888
3 200358
4 200447
5 200346
6 200345
7 200831
8
[Accidental injection of adrenaline in a finger with EpiPen].
199819
9 200117
10 200515
11 201214
12 20099
13 20018
14 20015
15 19994
16 20053
17 20023
18
[Teleradiologic follow up of patients treated with aortic stent grafting].
20053
19 20013
20 20073

About Jon Kaspersen

Jon Kaspersen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Environmental Engineering, Surgery and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 574 indexed citations. Recurring topics across this work include Wind and Air Flow Studies (5 papers), Fluid Dynamics and Turbulent Flows (4 papers), Medical Image Segmentation Techniques (3 papers), Aortic aneurysm repair treatments (3 papers), Image and Signal Denoising Methods (3 papers), Surgical Simulation and Training (2 papers), Combustion and flame dynamics (2 papers) and Reservoir Engineering and Simulation Methods (2 papers). The work is most often cited by research in Neurology (98 citations), Computational Mechanics (141 citations), Environmental Engineering (67 citations), Computer Vision and Pattern Recognition (84 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). Jon Kaspersen has collaborated with scholars based in Norway, United States and Denmark. Frequent co-authors include P.-Å. Krogstad, Toril A. Nagelhus Hernes, Thomas Langø, Frank Lindseth, Bertil Romner, Yuri Bazilevs, Jørgen Gjernes Isaksen, Knut Waterloo, Tor Ingebrigtsen and Trond Kvamsdal. Their work appears in journals such as Journal of Wind Engineering and Industrial Aerodynamics, Ultrasound in Medicine & Biology, Journal of Endovascular Therapy, Computer Aided Surgery and Physics of Fluids.

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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