Daniel Polak
Impact in
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- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
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- Electron Spin Resonance Studies
Papers in
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- Advanced MRI Techniques and Applications 11
- Medical Imaging Techniques and Applications 4
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- Medical Image Segmentation Techniques 2
- Co-authors
- Kawin Setsompop (11 shared papers)Stephen Cauley (17 shared papers)Berkin Bilgiç (7 shared papers)Peter Bachert (3 shared papers)Lawrence L. Wald (8 shared papers)John Conklin (11 shared papers)Susie Y. Huang (13 shared papers)Daniel Nicolas Splitthoff (12 shared papers)
- Journals
- Magnetic Resonance in Medicine (5 papers)American Journal of Neuroradiology (3 papers)Medical Physics (2 papers)Journal of Neuroimaging (1 paper)NMR in Biomedicine (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Polak
18 papers receiving 304 citations
Peers
Comparison fields: 5 of 39
- Radiology, Nuclear Medicine and Imaging 213
- Biophysics 15
- Atomic and Molecular Physics, and Optics 35
- Cognitive Neuroscience 20
- Structural Biology 1
Countries citing papers authored by Daniel Polak
This map shows the geographic impact of Daniel Polak'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 Daniel Polak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Polak more than expected).
Fields of papers citing papers by Daniel Polak
This network shows the impact of papers produced by Daniel Polak. 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 Daniel Polak. The network helps show where Daniel Polak may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Polak, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 53 | |
| 2 | 2019 | 45 | |
| 3 | 2020 | 43 | |
| 4 | 2020 | 28 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Daniel Polak
Daniel Polak is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Spectroscopy and Materials Chemistry, having authored 24 papers that have together received 305 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Medical Imaging Techniques and Applications (4 papers), Medical Image Segmentation Techniques (2 papers), Atomic and Subatomic Physics Research (2 papers), Advanced NMR Techniques and Applications (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Heat Transfer and Optimization (1 paper) and Advanced Data Processing Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (213 citations), Biophysics (15 citations), Atomic and Molecular Physics, and Optics (35 citations), Cognitive Neuroscience (20 citations) and Structural Biology (1 citation). Daniel Polak has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Kawin Setsompop, Stephen Cauley, Berkin Bilgiç, Peter Bachert, Lawrence L. Wald, John Conklin, Susie Y. Huang, Daniel Nicolas Splitthoff, Wei‐Ching Lo and Maria Gabriela Figueiró Longo. Their work appears in journals such as Magnetic Resonance in Medicine, American Journal of Neuroradiology, Medical Physics, Journal of Neuroimaging and NMR in Biomedicine.
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.