David G. Norris

16.9k total citations · 4 hit papers
238 papers, 12.1k citations indexed

About

David G. Norris is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, David G. Norris has authored 238 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Radiology, Nuclear Medicine and Imaging, 83 papers in Cognitive Neuroscience and 30 papers in Psychiatry and Mental health. Recurrent topics in David G. Norris's work include Advanced MRI Techniques and Applications (137 papers), Advanced Neuroimaging Techniques and Applications (118 papers) and Functional Brain Connectivity Studies (73 papers). David G. Norris is often cited by papers focused on Advanced MRI Techniques and Applications (137 papers), Advanced Neuroimaging Techniques and Applications (118 papers) and Functional Brain Connectivity Studies (73 papers). David G. Norris collaborates with scholars based in Germany, Netherlands and United Kingdom. David G. Norris's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

David G. Norris

236 papers receiving 11.9k citations

Hit Papers

Biexponential diffusion attenuation in various states of ... 1996 2026 2006 2016 1996 2015 2018 2024 100 200 300 400

Peers

David G. Norris
Ewald Moser Austria
Timothy P. L. Roberts United States
Nicholas J. Tustison United States
Peter Jezzard United Kingdom
Xavier Golay United Kingdom
James R. MacFall United States
Robert C. McKinstry United States
John W. Belliveau United States
Keith R. Thulborn United States
Ewald Moser Austria
David G. Norris
Citations per year, relative to David G. Norris David G. Norris (= 1×) peers Ewald Moser

Countries citing papers authored by David G. Norris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of David G. Norris

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Norris. A scholar is included among the top collaborators of David G. Norris 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 David G. Norris. David G. Norris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Li, Hao, Mina A. Jacob, Mengfei Cai, et al.. (2024). Meso-cortical pathway damage in cognition, apathy and gait in cerebral small vessel disease. Brain. 147(11). 3804–3816. 6 indexed citations
3.
Priovoulos, Nikos, Ícaro Oliveira, Benedikt A. Poser, David G. Norris, & Wietske van der Zwaag. (2023). Combining arterial blood contrast with BOLD increases fMRI intracortical contrast. Human Brain Mapping. 44(6). 2509–2522. 3 indexed citations
4.
Bates, Steven, Serge O. Dumoulin, Paul J. M. Folkers, et al.. (2023). A vision of 14 T MR for fundamental and clinical science. Magnetic Resonance Materials in Physics Biology and Medicine. 36(2). 211–225. 20 indexed citations
5.
Cai, Mengfei, Mina A. Jacob, José P. Marques, et al.. (2023). Structural Network Efficiency Predicts Conversion to Incident Parkinsonism in Patients With Cerebral Small Vessel Disease. The Journals of Gerontology Series A. 79(1). 3 indexed citations
6.
Jacob, Mina A., Mengfei Cai, Annemieke ter Telgte, et al.. (2022). Role of small acute hyperintense lesions in long-term progression of cerebral small vessel disease and clinical outcome: a 14-year follow-up study. Journal of Neurology Neurosurgery & Psychiatry. 94(2). 144–144. 5 indexed citations
7.
Mourik, Tim van, Lauren J. Bains, Katrien Segaert, et al.. (2019). Laminar specific fMRI reveals directed interactions in distributed networks during language processing. Proceedings of the National Academy of Sciences. 116(42). 21185–21190. 53 indexed citations
8.
Telgte, Annemieke ter, Kim Wiegertjes, Benno Gesierich, et al.. (2019). The contribution of acute infarcts to cerebral small vessel disease progression. Annals of Neurology. 86(4). 582–592. 28 indexed citations
9.
Scheeringa, René, et al.. (2019). Adapted cabling of an EEG cap improves simultaneous measurement of EEG and fMRI at 7T. Journal of Neuroscience Methods. 331. 108518–108518. 8 indexed citations
10.
Hilbert, Tom, José P. Marques, Jean‐Philippe Thiran, et al.. (2019). Fast model‐based T2 mapping using SAR‐reduced simultaneous multislice excitation. Magnetic Resonance in Medicine. 82(6). 2090–2103. 14 indexed citations
11.
Bergkamp, Mayra I., Esther M.C. van Leijsen, Mohsen Ghafoorian, et al.. (2018). Risk of Nursing Home Admission in Cerebral Small Vessel Disease. Stroke. 49(11). 2659–2665. 4 indexed citations
12.
Žic, John, Linnea Hemphill, Mayumi Fujita, et al.. (2018). Downloaded From : by a University Of Connecticut Health Center User on 07 / 27 / 2018. JAMA Dermatology. 28 indexed citations
13.
Chan, Kwok‐Shing, David G. Norris, & José P. Marques. (2018). Structure tensor informed fibre tractography at 3T. Human Brain Mapping. 39(11). 4440–4451. 3 indexed citations
14.
Scheeringa, René, Peter J. Koopmans, Tim van Mourik, Ole Jensen, & David G. Norris. (2016). The relationship between oscillatory EEG activity and the laminar-specific BOLD signal. Proceedings of the National Academy of Sciences. 113(24). 6761–6766. 108 indexed citations
15.
Leeuwen, Tessa M. van, et al.. (2015). L2-Proficiency-Dependent Laterality Shift in Structural Connectivity of Brain Language Pathways. Brain Connectivity. 5(6). 349–361. 21 indexed citations
16.
Kleinnijenhuis, Michiel, Markus Barth, Valerio Zerbi, et al.. (2011). Layer-specific diffusion weighted imaging in human primary visual cortex in vitro.. Human Brain Mapping. 2509–2509. 1 indexed citations
17.
Poser, Benedikt A. & David G. Norris. (2007). Measurement of activation-related changes in cerebral blood volume: VASO with single-shot HASTE acquisition. Magnetic Resonance Materials in Physics Biology and Medicine. 20(2). 63–7. 20 indexed citations
18.
Norris, David G.. (2004). High field human imaging (vol 18, pg 519, 2003). Journal of Magnetic Resonance Imaging. 19. 513–513. 1 indexed citations
19.
Niendorf, Thoralf, Rick M. Dijkhuizen, David G. Norris, Menno van Lookeren Campagne, & Klaas Nicolay. (1996). Biexponential diffusion attenuation in various states of brain tissue: Implications for diffusion‐weighted imaging. Magnetic Resonance in Medicine. 36(6). 847–857. 467 indexed citations breakdown →
20.
Dreher, Wolfgang, David G. Norris, & Dieter Leibfritz. (1994). Magnetization transfer affects the proton creatine/phosphocreatine signal intensity: In vivo demonstration in the rat brain. Magnetic Resonance in Medicine. 31(1). 81–84. 51 indexed citations

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.

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