Joerg Traub

31 papers receiving 771 citations

Peers

Joerg Traub
Comparison fields: 5 of 80
  • Equine 74
  • Computer Vision and Pattern Recognition 281
  • Radiation 101
  • Small Animals 59
  • Surgery 348
Replace J. H. Siewerdsen with:
J. H. Siewerdsen United States
Parminder S. Basran United States
Jens Kowal Switzerland
C Hessler Germany
Mang Chen United States
Kazuo Tanoue Japan
D W Piraino United States
Hirotsugu Takabatake Japan
Qiang He China
Philip Edwards United Kingdom
Joerg Traub relative to J. H. Siewerdsen United States J. H. Siewerdsen's profile →
Citations per field
00.5×9.8×
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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009121
2 2010106
3 198461
4 200752
5 200751
6 200948
7 201032
8 198332
9 200826
10 200625
11 200625
12 198224
13 201121
14 200521
15 200717
16 200617
17 200717
18 200815
19 202014
20 201113

About Joerg Traub

Joerg Traub is a scholar working on Surgery, Computer Vision and Pattern Recognition, Biomedical Engineering, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 800 indexed citations. Recurring topics across this work include Augmented Reality Applications (10 papers), Surgical Simulation and Training (10 papers), Robotics and Sensor-Based Localization (8 papers), Soft Robotics and Applications (5 papers), Medical Imaging Techniques and Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Cutaneous Melanoma Detection and Management (3 papers) and Anatomy and Medical Technology (3 papers). The work is most often cited by research in Equine (74 citations), Computer Vision and Pattern Recognition (281 citations), Radiation (101 citations), Small Animals (59 citations) and Surgery (348 citations). Joerg Traub has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Nassir Navab, Sandro-Michael Heining, Marco Feuerstein, Thomas Wendler, Sibylle Ziegler, Stephen M. Reed, Tobias Sielhorst, Barrie D. Grant, Tobias Lasser and Patrick R. Gavin. Their work appears in journals such as Journal of the American Veterinary Medical Association, IEEE Transactions on Medical Imaging, Journal of Biomechanics, Journal of Plastic Reconstructive & Aesthetic Surgery and Journal of Equine Veterinary Science.

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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