Pedro A. Gómez
- Radiology, Nuclear Medicine and Imaging top 5%
- Atomic and Molecular Physics, and Optics
- Spectroscopy
- Materials Chemistry
- Cognitive Neuroscience
- Co-authors
- Guido BuonincontriRolf F. SchulteMarion I. MenzelMichela TosettiBjoern MenzePaolo CecchiAlessandra ReticoMirco Cosottini
- Topics
- Advanced MRI Techniques and Applications (18 papers)Advanced Neuroimaging Techniques and Applications (6 papers)MRI in cancer diagnosis (5 papers)
- Partner nations
- GermanyUnited KingdomItaly
In The Last Decade
Pedro A. Gómez
19 papers receiving 248 citations
Peers
Comparison fields: 5 of 38
- Radiology, Nuclear Medicine and Imaging 238
- Atomic and Molecular Physics, and Optics 31
- Spectroscopy 20
- Materials Chemistry 20
- Cognitive Neuroscience 16
Countries citing papers authored by Pedro A. Gómez
This map shows the geographic impact of Pedro A. Gómez'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 Pedro A. Gómez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro A. Gómez more than expected).
Fields of papers citing papers by Pedro A. Gómez
This network shows the impact of papers produced by Pedro A. Gómez. 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 Pedro A. Gómez. The network helps show where Pedro A. Gómez may publish in the future.
Co-authorship network of co-authors of Pedro A. Gómez
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro A. Gómez. A scholar is included among the top collaborators of Pedro A. Gómez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pedro A. Gómez. Pedro A. Gómez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 16 | |
| 3 | 10 | |
| 4 | 32 | |
| 5 | 27 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | Deep Fully Convolutional Network for MR Fingerprinting | 1 |
| 9 | Deep MR Fingerprinting with total-variation and low-rank subspace priors | 2 |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 71 | |
| 13 | 9 | |
| 14 | A deep learning approach for Magnetic Resonance Fingerprinting. | 1 |
| 15 | 13 | |
| 16 | Balanced multi-shot EPI for accelerated Cartesian MR Fingerprinting: An alternative to spiral MR Fingerprinting | 1 |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 3D Magnetic Resonance Fingerprinting with a Clustered Spatiotemporal Dictionary | 2 |
About Pedro A. Gómez
Pedro A. Gómez is a scholar working on Radiology, Nuclear Medicine and Imaging, Structural Biology and Nuclear and High Energy Physics, having authored 20 papers that have together received 253 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (18 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (238 citations), Structural Biology (5 citations) and Computational Mathematics (1 citation). Pedro A. Gómez has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Guido Buonincontri, Rolf F. Schulte, Marion I. Menzel, Michela Tosetti, Bjoern Menze, Paolo Cecchi, Alessandra Retico, Mirco Cosottini, Joshua Kaggie and Ferdia A. Gallagher. Their work appears in journals such as NeuroImage, Scientific Reports and Magnetic Resonance in Medicine.
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.