C. Cachard

592 citations
27 papers · 348 · h-index 9

Impact in

Papers in

C. Cachard

24 papers receiving 336 citations

Peers

C. Cachard
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 181
  • Biomedical Engineering 247
  • Computer Vision and Pattern Recognition 62
  • Mechanics of Materials 66
  • Radiation 17
Replace Pezhman Foroughi with:
Pezhman Foroughi United States
Theobald Fuchs Germany
Udomchai Techavipoo United States
Lawrence S. Taylor United States
Siyi Ding China
Ryo Nagaoka Japan
P.D. Freiburger United States
F. L. Thurstone United States
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I.A. Hein United States
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Citations per field
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Citations per year

Countries citing papers authored by C. Cachard

Since Specialization
Citations

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

Fields of papers citing papers by C. Cachard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201074
2 200845
3 201139
4 199839
5 201129
6 201126
7 199815
8 199615
9 20059
10 20068
11 20107
12 20027
13 20186
14 19905
15 20054
16 20063
17 19943
18 20153
19 20033
20 20102

About C. Cachard

C. Cachard is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Mechanics of Materials, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 348 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (19 papers), Photoacoustic and Ultrasonic Imaging (11 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Ultrasound and Hyperthermia Applications (8 papers), Flow Measurement and Analysis (6 papers), Electrical and Bioimpedance Tomography (4 papers), Elasticity and Material Modeling (2 papers) and Ultrasound and Cavitation Phenomena (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (181 citations), Biomedical Engineering (247 citations), Computer Vision and Pattern Recognition (62 citations), Mechanics of Materials (66 citations) and Radiation (17 citations). C. Cachard has collaborated with scholars based in France, Italy and Netherlands. Frequent co-authors include Jan Kybic, Hervé Liebgott, François Varray, O. Basset, Piero Tortoli, Nico de Jong, Ayache Bouakaz, Jean Martial Mari, Alessandro Ramalli and G. Gimenez. Their work appears in journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Ultrasonics, IEEE Transactions on Biomedical Engineering, Physics in Medicine and Biology and Ultrasound in Medicine & Biology.

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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