Ian C. Atkinson
Impact in
-
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications
Papers in
-
- Advanced MRI Techniques and Applications 20
- Medical Imaging Techniques and Applications 14
- Co-authors
- Keith R. ThulbornAiming LuFarzad KamalabadiDouglas L. JonesNeil H. PliskinJohn L. VillanoElaine LuiXiaohong Joe Zhou
- Journals
- Magnetic Resonance in Medicine (6 papers)Journal of Magnetic Resonance (3 papers)NeuroImage (2 papers)Journal of Magnetic Resonance Imaging (2 papers)American Journal of Neuroradiology (2 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Ian C. Atkinson
32 papers receiving 671 citations
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 499
- Spectroscopy 184
- Biophysics 59
- Media Technology 67
- Computational Mathematics 3
Countries citing papers authored by Ian C. Atkinson
This map shows the geographic impact of Ian C. Atkinson'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 Ian C. Atkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian C. Atkinson more than expected).
Fields of papers citing papers by Ian C. Atkinson
This network shows the impact of papers produced by Ian C. Atkinson. 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 Ian C. Atkinson. The network helps show where Ian C. Atkinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian C. Atkinson, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2019 | 2 | |
| 4 | 2018 | 2 | |
| 5 | 2018 | 1 | |
| 6 | 2018 | 23 | |
| 7 | 2013 | 3 | |
| 8 | 2012 | 27 | |
| 9 | 2011 | 8 | |
| 10 | 2011 | 24 | |
| 11 | 2011 | 6 | |
| 12 | 2010 | 87 | |
| 13 | 2010 | 82 | |
| 14 | 2010 | 33 | |
| 15 | 2009 | 56 | |
| 16 | 2009 | 8 | |
| 17 | 2008 | 2 | |
| 18 | 2007 | 68 | |
| 19 | 2007 | 0 | |
| 20 | 2005 | 10 |
About Ian C. Atkinson
Ian C. Atkinson is a scholar working on Radiology, Nuclear Medicine and Imaging, Structural Biology, Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 35 papers that have together received 677 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (20 papers), Medical Imaging Techniques and Applications (14 papers), Image and Signal Denoising Methods (7 papers), Blind Source Separation Techniques (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Atomic and Subatomic Physics Research (5 papers), Advanced NMR Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (499 citations), Spectroscopy (184 citations), Biophysics (59 citations), Media Technology (67 citations) and Computational Mathematics (3 citations). Ian C. Atkinson has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Keith R. Thulborn, Aiming Lu, Farzad Kamalabadi, Douglas L. Jones, Neil H. Pliskin, John L. Villano, Elaine Lui, Xiaohong Joe Zhou, Namrata Vaswani and Wei Lu. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Magnetic Resonance, NeuroImage, 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.