Geoff J.M. Parker
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Advanced MRI Techniques and Applications 159
- Advanced Neuroimaging Techniques and Applications 124
- MRI in cancer diagnosis 102
- Radiomics and Machine Learning in Medical Imaging 47
- Medical Imaging Techniques and Applications 23
- Computational Mathematics top 0.5%
- Cognitive Neuroscience top 0.5%
- Functional Brain Connectivity Studies 42
- Orthopedics and Sports Medicine top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Multiple Sclerosis Research Studies 23
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- Atomic and Subatomic Physics Research 35
Geoff J.M. Parker
405 papers receiving 21.6k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Radiology, Nuclear Medicine and Imaging 14.5k
- Computational Mathematics 259
- Cognitive Neuroscience 3.8k
- Orthopedics and Sports Medicine 966
- Pathology and Forensic Medicine 2.0k
Countries citing papers authored by Geoff J.M. Parker
This map shows the geographic impact of Geoff J.M. Parker'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 Geoff J.M. Parker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff J.M. Parker more than expected).
Fields of papers citing papers by Geoff J.M. Parker
This network shows the impact of papers produced by Geoff J.M. Parker. 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 Geoff J.M. Parker. The network helps show where Geoff J.M. Parker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geoff J.M. Parker, 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 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2019 | 61 | |
| 13 | 2019 | 52 | |
| 14 | 2015 | 127 | |
| 15 | Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcomebreakdown → | 2014 | 495 |
| 16 | 2008 | 34 | |
| 17 | 2007 | 139 | |
| 18 | A general framework for multiple-fibre PICo tractography | 2006 | 3 |
| 19 | Auditory-language networks involving the superior temporal gyrus: patterns of connection and lateralization | 2006 | 1 |
| 20 | The Microvascular characteristics of prostate cancer revealed by dynamic contrast-enhanced T1-weighted MRI | 2004 | 2 |
About Geoff J.M. Parker
Geoff J.M. Parker is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics, having authored 419 papers that have together received 22.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (159 papers), Advanced Neuroimaging Techniques and Applications (124 papers), MRI in cancer diagnosis (102 papers), Radiomics and Machine Learning in Medical Imaging (47 papers), Functional Brain Connectivity Studies (42 papers), Atomic and Subatomic Physics Research (35 papers), Multiple Sclerosis Research Studies (23 papers) and Medical Imaging Techniques and Applications (23 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (14.5k citations), Computational Mathematics (259 citations) and Cognitive Neuroscience (3.8k citations). Geoff J.M. Parker has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Daniel C. Alexander, Gareth J. Barker, Claudia A. M. Gandini Wheeler‐Kingshott, Alan Jackson, David L. Buckley, James P.B. O’Connor, David H. Miller, Gordon C. Jayson, Alan J. Thompson and Paul S. Tofts. Their work appears in journals such as Nature, Physical Review Letters and Journal of Clinical Oncology.
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.