Jonathan Mamou

192 papers receiving 3.1k citations

Peers

Jonathan Mamou
Comparison fields: 5 of 137
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Signal Processing 540
  • Biomedical Engineering 1.2k
  • Artificial Intelligence 879
  • Biophysics 122
Replace P.M. Shankar with:
P.M. Shankar United States
Anselmo Cardoso de Paiva Brazil
Carmelo Militello Italy
Zhuhuang Zhou China
María A. Zuluaga France
Hongmin Cai China
Suhyun Park South Korea
J. Shin United States
Wagner Coelho de Albuquerque Pereira Brazil
Andrzej Materka Poland
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Citations per field
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P.M. Shankar · 1×
Citations per year

Countries citing papers authored by Jonathan Mamou

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Mamou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003383
2 2016274
3 2013229
4 2007149
5 2011124
6 200688
7 201079
8 201575
9 201874
10 200570
11 200665
12 201159
13 201247
14 201346
15 200842
16 200941
17 201341
18 201638
19 201333
20 201331

About Jonathan Mamou

Jonathan Mamou is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Mechanics of Materials, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 206 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (92 papers), Photoacoustic and Ultrasonic Imaging (60 papers), Ultrasound and Hyperthermia Applications (59 papers), Ultrasonics and Acoustic Wave Propagation (31 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), Medical Image Segmentation Techniques (12 papers), AI in cancer detection (12 papers) and Congenital heart defects research (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Signal Processing (540 citations), Biomedical Engineering (1.2k citations), Artificial Intelligence (879 citations) and Biophysics (122 citations). Jonathan Mamou has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Michael L. Oelze, Ernest J. Feleppa, Yaron Kanza, Sara Cohen, Yehoshua Sagiv, Jeffrey A. Ketterling, Bhuvana Ramabhadran, Junji Machi, Daniel Rohrbach and Ronald H. Silverman. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Ultrasound in Medicine & Biology, Japanese Journal of Applied Physics and IEEE Transactions on Biomedical Engineering.

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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