David G. Norris

16.9k citations
238 papers · 12.1k indexed · 4 hit papers · h-index 55

David G. Norris

236 papers receiving 11.9k citations

Hit Papers

Periv...431996202620062016100200300400

Peers

David G. Norris
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
Replace Jeff H. Duyn with:
Jeff H. Duyn United States
James J. Pekar United States
Peter Jezzard United Kingdom
Mark S. Cohen United States
Jon̈athan R. Polimeni United States
Hanzhang Lu United States
Edward J. Auerbach United States
John W. Belliveau United States
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Karla L. Miller United Kingdom
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Citations per field
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Jeff H. Duyn · 1×
Citations per year

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

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.

Border = papers with David G. Norris Line = papers co-authored together David G. Norris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20233
4 202320
5 20233
6 20225
7 201953
8 201928
9 20198
10 201914
11 20184
12 201828
13 20183
14 2016108
15 201521
16
Layer-specific diffusion weighted imaging in human primary visual cortex in vitro.
20111
17 200720
18
High field human imaging (vol 18, pg 519, 2003)
20041
19
Biexponential diffusion attenuation in various states of brain tissue: Implications for diffusion‐weighted imagingbreakdown →
1996467
20 199451

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.

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