R. Dapp

677 citations
22 papers · 387 · h-index 9

Impact in

Papers in

    • Ultrasound Imaging and Elastography 15
    • Medical Imaging Techniques and Applications 15
    • MRI in cancer diagnosis 3
    • Radiomics and Machine Learning in Medical Imaging 1
    • Microwave Imaging and Scattering Analysis 4
    • Photoacoustic and Ultrasonic Imaging 4
    • Advanced X-ray and CT Imaging 3

R. Dapp

21 papers receiving 372 citations

Peers

R. Dapp
Comparison fields: 5 of 43
  • Radiology, Nuclear Medicine and Imaging 274
  • Biomedical Engineering 238
  • Geophysics 51
  • Mechanics of Materials 78
  • Mathematical Physics 28
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Alex Babkin United States
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Olsi Rama United States
Thomas P. Matthews United States
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Athanasios Zacharopoulos Greece
Jürgen Frikel Germany
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Citations per field
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Citations per year

Countries citing papers authored by R. Dapp

Since Specialization
Citations

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

Fields of papers citing papers by R. Dapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201258
3 201244
4 201541
5 201338
6 201330
7 201222
8 201214
9 20118
10 20136
11 20146
12
Attenuation reconstruction for 3D Ultrasound Computer Tomography
20124
13 20124
14 20114
15 20104
16 20123
17 20143
18 20153
19 20122
20 20111

About R. Dapp

R. Dapp is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Radiation and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 387 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (15 papers), Medical Imaging Techniques and Applications (15 papers), Microwave Imaging and Scattering Analysis (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Medical Image Segmentation Techniques (3 papers), MRI in cancer diagnosis (3 papers), Advanced X-ray and CT Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (274 citations), Biomedical Engineering (238 citations), Geophysics (51 citations), Mechanics of Materials (78 citations) and Mathematical Physics (28 citations). R. Dapp has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Nicole V. Ruiter, Michael Zapf, H. Gemmeke, Torsten Hopp, Koen W. A. van Dongen, Jürgen Becker, Igor Peterlík, Jiří Jan, Radovan Jiřík and Jan Fousek. Their work appears in journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Journal of Parallel and Distributed Computing, European Journal of Radiology, Optics Express and Atmospheric measurement techniques.

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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