Jan Rexilius

606 citations
30 papers · 333 · h-index 11

Impact in

Papers in

Jan Rexilius

29 papers receiving 316 citations

Peers

Jan Rexilius
Comparison fields: 5 of 78
  • Computational Mathematics 8
  • Radiology, Nuclear Medicine and Imaging 176
  • Computer Graphics and Computer-Aided Design 22
  • Neurology 35
  • Neurology 64
Replace John F. Mullan with:
John F. Mullan United States
Alexandre Guimond Canada
Delia P. McGarry United States
Mahnaz Maddah United States
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Noura Azzabou France
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Citations per year

Countries citing papers authored by Jan Rexilius

Since Specialization
Citations

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

Fields of papers citing papers by Jan Rexilius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200659
2
Diffusion tensor imaging-based fractional anisotropy quantification in the corticospinal tract of patients with amyotrophic lateral sclerosis using a probabilistic mixture model.
200747
3 200443
4 200625
5 200720
6 200713
7 200913
8 201011
9 200510
10 200710
11 200510
12
Physics-Based Nonrigid Registration for Medical Image Analysis
20019
13 20058
14
An Application Framework for Rapid Prototyping of Clinically Applicable Software Assistants.
20067
15 20055
16 20055
17 20085
18
NeuroQLab – A software assistant for neurosurgical planning and quantitative image analysis
20095
19 20214
20 20214

About Jan Rexilius

Jan Rexilius is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Information Systems and Management, Pathology and Forensic Medicine and Ocean Engineering, having authored 30 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (6 papers), Medical Image Segmentation Techniques (5 papers), Scientific Computing and Data Management (4 papers), Medical Imaging Techniques and Applications (3 papers), AI in cancer detection (3 papers), Evacuation and Crowd Dynamics (3 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Computational Mathematics (8 citations), Radiology, Nuclear Medicine and Imaging (176 citations), Computer Graphics and Computer-Aided Design (22 citations), Neurology (35 citations) and Neurology (64 citations). Jan Rexilius has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Horst K. Hahn, Heinz‐Otto Peitgen, Bram Stieltjes, Carsten Lukas, Sebastian Schimrigk, Jan Klein, Barbara Bellenberg, H. Przuntek, Marc‐André Weber and Marco Essig. Their work appears in journals such as Neuroradiology, NeuroImage, Academic Radiology, International Journal of Computer Vision and Therapeutic Advances in Neurological Disorders.

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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