David G. Norris
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Advanced MRI Techniques and Applications 137
- Advanced Neuroimaging Techniques and Applications 118
- MRI in cancer diagnosis 22
- Cognitive Neuroscience top 0.2%
- Functional Brain Connectivity Studies 73
- Neural dynamics and brain function 22
- Neurology top 1%
- Computational Mathematics top 2%
- Psychiatry and Mental health top 1%
- Dementia and Cognitive Impairment Research 24
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- Atomic and Subatomic Physics Research 25
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- Cerebrovascular and Carotid Artery Diseases 23
David G. Norris
236 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Radiology, Nuclear Medicine and Imaging 6.9k
- Cognitive Neuroscience 5.3k
- Neurology 741
- Computational Mathematics 49
- Psychiatry and Mental health 1.0k
Countries citing papers authored by David G. Norris
This map shows the geographic impact of David G. Norris'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 David G. Norris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Norris more than expected).
Fields of papers citing papers by David G. Norris
This network shows the impact of papers produced by David G. Norris. 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 David G. Norris. The network helps show where David G. Norris may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David G. Norris, 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 | 2024 | 6 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 5 | |
| 7 | 2019 | 53 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 14 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 28 | |
| 13 | 2018 | 3 | |
| 14 | 2016 | 108 | |
| 15 | 2015 | 21 | |
| 16 | Layer-specific diffusion weighted imaging in human primary visual cortex in vitro. | 2011 | 1 |
| 17 | 2007 | 20 | |
| 18 | High field human imaging (vol 18, pg 519, 2003) | 2004 | 1 |
| 19 | Biexponential diffusion attenuation in various states of brain tissue: Implications for diffusion‐weighted imagingbreakdown → | 1996 | 467 |
| 20 | 1994 | 51 |
About David G. Norris
David G. Norris is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health, having authored 238 papers that have together received 12.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (137 papers), Advanced Neuroimaging Techniques and Applications (118 papers), Functional Brain Connectivity Studies (73 papers), Atomic and Subatomic Physics Research (25 papers), Dementia and Cognitive Impairment Research (24 papers), Cerebrovascular and Carotid Artery Diseases (23 papers), MRI in cancer diagnosis (22 papers) and Neural dynamics and brain function (22 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.9k citations), Cognitive Neuroscience (5.3k citations) and Neurology (741 citations). David G. Norris has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Markus Barth, Benedikt A. Poser, Peter J. Koopmans, Anil M. Tuladhar, René Scheeringa, Dieter Leibfritz, Peter Hagoort, Frank‐Erik de Leeuw, Karlijn F. de Laat and Marcel Bastiaansen.
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.