Joerg Traub

28 papers receiving 713 citations

Peers

Joerg Traub
Comparison fields: 5 of 73
  • Equine 38
  • Computer Vision and Pattern Recognition 250
  • Radiation 81
  • Human-Computer Interaction 36
  • Surgery 237
Replace J. H. Siewerdsen with:
J. H. Siewerdsen United States
Michael R. Bax United States
Alan Brett United Kingdom
Jens Kowal Switzerland
Emmanuel Wilson United States
Stéphane Lavallée France
Hirotsugu Takabatake Japan
Sung Bae Hwang South Korea
Christophe Koehl France
Sandy Engelhardt Germany
Joerg Traub relative to J. H. Siewerdsen United States J. H. Siewerdsen's profile →
Citations per field
00.5×6.0×
J. H. Siewerdsen · 1×
Citations per year

Countries citing papers authored by Joerg Traub

Since Specialization
Citations

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

Fields of papers citing papers by Joerg Traub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009122
2 2010107
3 198461
4 200752
5 200751
6 200949
7 201034
8 200826
9 200624
10 200624
11 201121
12 200521
13 200617
14 200717
15 200717
16 200816
17 202014
18 201113
19 200412
20 20089

About Joerg Traub

Joerg Traub is a scholar working on Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 740 indexed citations. Recurring topics across this work include Augmented Reality Applications (10 papers), Surgical Simulation and Training (9 papers), Robotics and Sensor-Based Localization (8 papers), Medical Imaging Techniques and Applications (4 papers), Soft Robotics and Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Radiotherapy Techniques (3 papers) and Cutaneous Melanoma Detection and Management (3 papers). The work is most often cited by research in Equine (38 citations), Computer Vision and Pattern Recognition (250 citations), Radiation (81 citations), Human-Computer Interaction (36 citations) and Surgery (237 citations). Joerg Traub has collaborated with scholars based in Germany, Japan and Australia. Frequent co-authors include Nassir Navab, Sandro-Michael Heining, Marco Feuerstein, Thomas Wendler, Sibylle Ziegler, Tobias Sielhorst, Tobias Lasser, Sandro Michael Heining, Ekkehard Euler and Tobias Reichl. Their work appears in journals such as IEEE Transactions on Medical Imaging, Computer Aided Surgery, Medical Image Analysis, European Journal of Nuclear Medicine and Molecular Imaging and Journal of Plastic Reconstructive & Aesthetic Surgery.

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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