Fernando E. Boada
-
- Advanced MRI Techniques and Applications 104
- Medical Imaging Techniques and Applications 40
- Advanced Neuroimaging Techniques and Applications 29
- MRI in cancer diagnosis 18
- Radiomics and Machine Learning in Medical Imaging 10
- Spectroscopy top 1%
- Advanced NMR Techniques and Applications 27
- Biophysics top 1%
- Electron Spin Resonance Studies 10
-
- Atomic and Subatomic Physics Research 32
- Neurology top 5%
- Co-authors
- V. Andrew StengerDouglas C. NollGary X. ShenKeith R. ThulbornYongxian QianJoseph GillenIleana HancuCostin Tanase
- Journals
- Magnetic Resonance in Medicine (48 papers)Journal of Nuclear Medicine (6 papers)Journal of Magnetic Resonance (6 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Fernando E. Boada
135 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 121
- Radiology, Nuclear Medicine and Imaging 2.9k
- Spectroscopy 901
- Biophysics 202
- Atomic and Molecular Physics, and Optics 731
- Neurology 170
Countries citing papers authored by Fernando E. Boada
This map shows the geographic impact of Fernando E. Boada'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 Fernando E. Boada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando E. Boada more than expected).
Fields of papers citing papers by Fernando E. Boada
This network shows the impact of papers produced by Fernando E. Boada. 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 Fernando E. Boada. The network helps show where Fernando E. Boada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando E. Boada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 6 | |
| 4 | 2018 | 8 | |
| 5 | 2017 | 18 | |
| 6 | 2017 | 31 | |
| 7 | 2017 | 15 | |
| 8 | 2017 | 3 | |
| 9 | 2017 | 14 | |
| 10 | 2016 | 69 | |
| 11 | 2015 | 33 | |
| 12 | 2013 | 21 | |
| 13 | 2012 | 8 | |
| 14 | 2012 | 15 | |
| 15 | 2010 | 18 | |
| 16 | 2006 | 31 | |
| 17 | 2004 | 42 | |
| 18 | 2001 | 16 | |
| 19 | 1998 | 22 | |
| 20 | 1998 | 17 |
About Fernando E. Boada
Fernando E. Boada is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Spectroscopy, having authored 140 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (104 papers), Medical Imaging Techniques and Applications (40 papers), Atomic and Subatomic Physics Research (32 papers), Advanced Neuroimaging Techniques and Applications (29 papers), Advanced NMR Techniques and Applications (27 papers), MRI in cancer diagnosis (18 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Electron Spin Resonance Studies (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.9k citations), Spectroscopy (901 citations) and Biophysics (202 citations). Fernando E. Boada has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include V. Andrew Stenger, Douglas C. Noll, Gary X. Shen, Keith R. Thulborn, Yongxian Qian, Joseph Gillen, Ileana Hancu, Costin Tanase, Sam Chang and Suwit Saekho. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Nuclear Medicine, Journal of Magnetic Resonance, Journal of Magnetic Resonance Imaging and American Journal of Neuroradiology.
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.