Stefan Heldmann

1.7k citations
51 papers · 943 · h-index 16

Impact in

Papers in

Stefan Heldmann

48 papers receiving 920 citations

Peers

Stefan Heldmann
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 261
  • Spectroscopy 176
  • Geophysics 120
  • Biophysics 51
  • Radiology, Nuclear Medicine and Imaging 169
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Li Feng United States
Jeremiah Zhe Liu United States
Luis Pizarro United Kingdom
H. Schomberg Germany
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Marc Sigelle France
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Heldmann

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Heldmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012111
2 200698
3 200884
4 201362
5
Estimation of large motion in lung CT by integrating regularized keypoint correspondences into dense deformable registration
201761
6 200757
7 200654
8 201348
9 201346
10 201137
11 202134
12 201528
13 201624
14 201320
15 200816
16
Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration
201316
17 201014
18 201911
19 200911
20 201411

About Stefan Heldmann

Stefan Heldmann is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Computational Mechanics, having authored 51 papers that have together received 943 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging and Analysis (6 papers), Mass Spectrometry Techniques and Applications (4 papers), Cardiovascular Function and Risk Factors (4 papers), AI in cancer detection (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (261 citations), Spectroscopy (176 citations), Geophysics (120 citations), Biophysics (51 citations) and Radiology, Nuclear Medicine and Imaging (169 citations). Stefan Heldmann has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Eldad Haber, Jan Modersitzki, Bernd Fischer, Jan Rühaak, Stefan Wirtz, Uri M. Ascher, Janina Oetjen, Herbert Thiele, Dennis Trede and Jan Strehlow. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Medical Physics, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Computer Methods and Programs in Biomedicine and European Radiology.

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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