Jan Modersitzki

5.2k citations
61 papers · 2.8k · 1 hit paper · h-index 23

Impact in

Papers in

Jan Modersitzki

60 papers receiving 2.7k citations

Hit Papers

Numerical Methods for Image Registration 2003 · 555 citations
5550+7+15Years since publication100200300400500

Peers

Jan Modersitzki
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 1.6k
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Cognitive Neuroscience 449
  • Biophysics 122
  • Computational Mechanics 391
Replace Alain Trouvé with:
Alain Trouvé France
Huazhong Shu China
Laurent Younès United States
Pierre Kornprobst France
Chiu‐Yen Kao United States
Arvid Lundervold Norway
Kristian Bredies Austria
Xavier Bresson Switzerland
Steven Haker United States
Marc Niethammer United States
Jan Modersitzki relative to Alain Trouvé France Alain Trouvé's profile →
Citations per field
00.5×1.5×
Alain Trouvé · 1×
Citations per year

Countries citing papers authored by Jan Modersitzki

Since Specialization
Citations

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

Fields of papers citing papers by Jan Modersitzki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Numerical Methods for Image Registration
Hit paper breakdown →
2003555
2 2003409
3 2003171
4 2009139
5 2009136
6 2006124
7 2007107
8 2004107
9 200498
10 200895
11 200883
12 201281
13 201372
14 200669
15 199956
16 200654
17 200647
18 200433
19 201527
20 200727

About Jan Modersitzki

Jan Modersitzki is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Biomedical Engineering and Aerospace Engineering, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (32 papers), Medical Imaging Techniques and Applications (18 papers), Robotics and Sensor-Based Localization (10 papers), Advanced MRI Techniques and Applications (7 papers), Advanced Numerical Analysis Techniques (7 papers), Image and Object Detection Techniques (6 papers), Numerical methods in inverse problems (5 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Cognitive Neuroscience (449 citations), Biophysics (122 citations) and Computational Mechanics (391 citations). Jan Modersitzki has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Bernd Fischer, Eldad Haber, Alyssa A. Brewer, Robert F. Dougherty, Volker Koch, Brian A. Wandell, Stefan Heldmann, Martin Burger, Lars Ruthotto and Oliver Schmitt. Their work appears in journals such as SIAM Journal on Scientific Computing, Methods of Information in Medicine, International Journal of Computer Vision, Inverse Problems and Numerical Algorithms.

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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