Jonathan Mamou

3.2k citations
179 papers · 2.2k · h-index 23

Impact in

Papers in

Jonathan Mamou

164 papers receiving 2.2k citations

Peers

Jonathan Mamou
Comparison fields: 5 of 116
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Biomedical Engineering 1.2k
  • Biophysics 133
  • Ophthalmology 206
  • Mechanics of Materials 463
Replace F.L. Lizzi with:
F.L. Lizzi United States
Frederic L. Lizzi United States
Ernest J. Feleppa United States
H. Ermert Germany
Dónal B. Downey Canada
Salavat R. Aglyamov United States
Azra Alizad United States
Michael L. Oelze United States
Mostafa Fatemi United States
Michael S. Hughes United States
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Citations per field
00.5×10×15×22.2×
F.L. Lizzi · 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 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016259
2 2013223
3 2011120
4 200685
5 201077
6 201573
7 201869
8 200567
9 201156
10 200842
11 200939
12 201638
13 201332
14 201629
15 201328
16 201926
17 202025
18 201925
19 201525
20 201524

About Jonathan Mamou

Jonathan Mamou is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Mechanics of Materials, Computer Vision and Pattern Recognition and Ophthalmology, having authored 179 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (88 papers), Ultrasound and Hyperthermia Applications (59 papers), Photoacoustic and Ultrasonic Imaging (58 papers), Ultrasonics and Acoustic Wave Propagation (30 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Glaucoma and retinal disorders (12 papers), AI in cancer detection (12 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Biomedical Engineering (1.2k citations), Biophysics (133 citations), Ophthalmology (206 citations) and Mechanics of Materials (463 citations). Jonathan Mamou has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Michael L. Oelze, Ernest J. Feleppa, Jeffrey A. Ketterling, Junji Machi, Daniel Rohrbach, Ronald H. Silverman, William D. O’Brien, Eugene Yanagihara, Alain Coron and Orlando Aristizábal. 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 Experimental Eye Research.

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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