David Fuentes
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Health Informatics top 5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 15
- Medical Imaging Techniques and Applications 7
- Infrared Thermography in Medicine 7
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- Photoacoustic and Ultrasonic Imaging 12
- Ultrasound and Hyperthermia Applications 9
- Co-authors
- R. Jason Stafford (22 shared papers)John D. Hazle (31 shared papers)Jeffrey S. Weinberg (17 shared papers)Khaled M. Elsayes (14 shared papers)Yusheng Feng (7 shared papers)Ali Morshid (6 shared papers)Kamran Ahrar (1 shared paper)Ahmed Khalaf (6 shared papers)
- Journals
- International Journal of Hyperthermia (12 papers)Medical Physics (6 papers)American Journal of Neuroradiology (5 papers)Physics in Medicine and Biology (4 papers)Journal of Applied Clinical Medical Physics (4 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
David Fuentes
103 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 132
- Radiology, Nuclear Medicine and Imaging 548
- Health Informatics 32
- Hepatology 154
- Modeling and Simulation 81
- Biophysics 69
Countries citing papers authored by David Fuentes
This map shows the geographic impact of David Fuentes'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 David Fuentes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Fuentes more than expected).
Fields of papers citing papers by David Fuentes
This network shows the impact of papers produced by David Fuentes. 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 David Fuentes. The network helps show where David Fuentes may publish in the future.
Co-authors
The 25 scholars most cited alongside David Fuentes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 173 | |
| 2 | 2010 | 172 | |
| 3 | 2016 | 128 | |
| 4 | 2019 | 97 | |
| 5 | 2013 | 90 | |
| 6 | 2015 | 71 | |
| 7 | 2015 | 66 | |
| 8 | 2018 | 59 | |
| 9 | 2008 | 45 | |
| 10 | 2019 | 41 | |
| 11 | 2019 | 40 | |
| 12 | 2009 | 39 | |
| 13 | 2017 | 37 | |
| 14 | 2014 | 35 | |
| 15 | 2011 | 33 | |
| 16 | 2019 | 32 | |
| 17 | 2020 | 31 | |
| 18 | 2019 | 26 | |
| 19 | 2010 | 26 | |
| 20 | 2007 | 25 |
About David Fuentes
David Fuentes is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Hepatology and Genetics, having authored 115 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Advanced Radiotherapy Techniques (13 papers), Photoacoustic and Ultrasonic Imaging (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Ultrasound and Hyperthermia Applications (9 papers), Glioma Diagnosis and Treatment (8 papers), Medical Imaging Techniques and Applications (7 papers) and Infrared Thermography in Medicine (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (548 citations), Health Informatics (32 citations), Hepatology (154 citations), Modeling and Simulation (81 citations) and Biophysics (69 citations). David Fuentes has collaborated with scholars based in United States, Spain and France. Frequent co-authors include R. Jason Stafford, John D. Hazle, Jeffrey S. Weinberg, Khaled M. Elsayes, Yusheng Feng, Ali Morshid, Kamran Ahrar, Ahmed Khalaf, Ahmed O. Kaseb and Manal M. Hassan. Their work appears in journals such as International Journal of Hyperthermia, Medical Physics, American Journal of Neuroradiology, Physics in Medicine and Biology and Journal of Applied Clinical Medical Physics.
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.