Rafael E. Carrillo

60 papers receiving 1.4k citations

Peers

Rafael E. Carrillo
Comparison fields: 5 of 91
  • Computational Mechanics 603
  • Signal Processing 325
  • Acoustics and Ultrasonics 11
  • Computer Vision and Pattern Recognition 250
  • Biomedical Engineering 490
Replace Qun Zhang with:
Qun Zhang China
Giacomo Oliveri Italy
Heng‐Ming Tai United States
Xiaobo Yang China
Gerd Vandersteen Belgium
Hao Shen Germany
Xiyuan Chen China
Wan Luo China
P. Agathoklis Canada
Rafael E. Carrillo relative to Qun Zhang China Qun Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rafael E. Carrillo

Since Specialization
Citations

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

Fields of papers citing papers by Rafael E. Carrillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael E. Carrillo. 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 Rafael E. Carrillo. The network helps show where Rafael E. Carrillo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021152
2 2011119
3 2010101
4 201480
5
1 Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems
201672
6 201363
7 201357
8 201655
9 201053
10 202251
11 201949
12 201645
13 201038
14 202136
15 201635
16 201734
17 201632
18 201730
19 201229
20 201128

About Rafael E. Carrillo

Rafael E. Carrillo is a scholar working on Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (30 papers), Photoacoustic and Ultrasonic Imaging (15 papers), Blind Source Separation Techniques (13 papers), Ultrasound Imaging and Elastography (10 papers), Ultrasonics and Acoustic Wave Propagation (7 papers), Building Energy and Comfort Optimization (6 papers), Image and Signal Denoising Methods (6 papers) and Advanced Battery Technologies Research (5 papers). The work is most often cited by research in Computational Mechanics (603 citations), Signal Processing (325 citations), Acoustics and Ultrasonics (11 citations), Computer Vision and Pattern Recognition (250 citations) and Biomedical Engineering (490 citations). Rafael E. Carrillo has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Kenneth E. Barner, Yves Wiaux, Luisa F. Polanía, Baptiste Schubnel, Pierre‐Jean Alet, Jason D. McEwen, Tuncer C. Aysal, Jean‐Philippe Thiran, Manuel Blanco–Velasco and Adrien Besson. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Energies, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, IEEE Transactions on Sustainable Energy and IEEE Signal Processing Letters.

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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