Michael Brehler

35 papers receiving 358 citations

Peers

Michael Brehler
Comparison fields: 5 of 38
  • Orthopedics and Sports Medicine 65
  • Radiology, Nuclear Medicine and Imaging 140
  • Genetics 31
  • Biomedical Engineering 92
  • Computer Vision and Pattern Recognition 57
Replace Bomin Wang with:
Bomin Wang China
Saul N. Friedman Canada
Niels J. Noordhoek Netherlands
Romain Gillet France
G. Lemineur France
Akio Ogura Japan
Sonja Faber Germany
Svea Faber Germany
Stefano Gianolini Italy
C. L. Benhamou France
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Countries citing papers authored by Michael Brehler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Brehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201864
2 202038
3 201733
4 201724
5 202224
6 202322
7 202119
8 202018
9 202114
10 201910
11 20149
12 20158
13 20198
14 20238
15 20247
16 20155
17 20175
18 20195
19 20205
20 20144

About Michael Brehler

Michael Brehler is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 367 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Medical Imaging and Analysis (7 papers), AI in cancer detection (7 papers), Advanced X-ray and CT Imaging (6 papers), Digital Radiography and Breast Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Knee injuries and reconstruction techniques (2 papers) and Dental Radiography and Imaging (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (65 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Genetics (31 citations), Biomedical Engineering (92 citations) and Computer Vision and Pattern Recognition (57 citations). Michael Brehler has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Wojciech B. Zbijewski, Peter S. LaViolette, Gaurav K. Thawait, Jeff H. Siewerdsen, Joseph Webster Stayman, Shadpour Demehri, Alejandro Sisniega, Samuel A. Bobholz, Allison K. Lowman and Delaram Shakoor. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Medical Physics, Tomography, American Journal of Neuroradiology and Laboratory Investigation.

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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