Jeffrey Bax

29 papers receiving 442 citations

Peers

Jeffrey Bax
Comparison fields: 5 of 49
  • Biomedical Engineering 243
  • Pulmonary and Respiratory Medicine 101
  • Surgery 126
  • Radiation 27
  • Computer Vision and Pattern Recognition 59
Replace Chunwoo Kim with:
Chunwoo Kim United States
Norihiro Koizumi Japan
Erlend Fagertun Hofstad Norway
Nick J. van de Berg Netherlands
Songita A. Choudhury United States
S. Martin United Kingdom
Vance Watson United States
Yogesh Thakur Canada
Nathan B. Cho United States
Csaba Csoma United States
Jeffrey Bax relative to Chunwoo Kim United States Chunwoo Kim's profile →
Citations per field
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Chunwoo Kim · 1×
Citations per year

Countries citing papers authored by Jeffrey Bax

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Bax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009130
2 2008107
3 201542
4 201333
5 201125
6 201119
7 202316
8 201914
9 202110
10 20138
11 20225
12 20215
13 20123
14 20073
15 20213
16 20183
17 20222
18 20212
19 20202
20 20192

About Jeffrey Bax

Jeffrey Bax is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiation, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (7 papers), Soft Robotics and Applications (7 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Ultrasound Imaging and Elastography (4 papers), Surgical Simulation and Training (4 papers), Breast Lesions and Carcinomas (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Biomedical Engineering (243 citations), Pulmonary and Respiratory Medicine (101 citations), Surgery (126 citations), Radiation (27 citations) and Computer Vision and Pattern Recognition (59 citations). Jeffrey Bax has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Maria Drangova, Yogesh Thakur, Aaron Fenster, David W. Holdsworth, Lori Gardi, Shi Sherebrin, David P. Smith, Cesare Romagnoli, Derek W. Cool and David Tessier. Their work appears in journals such as Medical Physics, IEEE Transactions on Biomedical Engineering, Scientific Reports, International Journal of Medical Robotics and Computer Assisted Surgery and Journal of Medical Imaging.

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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