David R. Patterson

13.5k citations
197 papers · 9.6k indexed · h-index 56

Impact in

Papers in

David R. Patterson

192 papers receiving 9.1k citations

Peers

David R. Patterson
Comparison fields: 5 of 172
  • Human-Computer Interaction 1.1k
  • Pediatrics, Perinatology and Child Health 3.3k
  • Anesthesiology and Pain Medicine 941
  • Rehabilitation 1.0k
  • Cognitive Neuroscience 2.8k
Replace Sam R. Sharar with:
Sam R. Sharar United States
Stephen J. Gibson Australia
Derick T Wade United Kingdom
G. Lorimer Moseley Australia
Johan W.S. Vlaeyen Netherlands
Robert Teasell Canada
Ziad Nasreddine Canada
Jayne Pivik Canada
Victor Whitehead Canada
Henk J. Stam Netherlands
David R. Patterson relative to Sam R. Sharar United States Sam R. Sharar's profile →
Citations per field
00.5×2.8×
Sam R. Sharar · 1×
Citations per year

Countries citing papers authored by David R. Patterson

Since Specialization
Citations

This map shows the geographic impact of David R. Patterson'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 R. Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Patterson more than expected).

Fields of papers citing papers by David R. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Patterson. 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 R. Patterson. The network helps show where David R. Patterson may publish in the future.

Co-authors

The 25 scholars most cited alongside David R. Patterson, 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 R. Patterson Line = papers co-authored together David R. Patterson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20241
5 20205
6 201814
7 201341
8 201096
9 200838
10 20072
11 2007158
12 200419
13 2001155
14 20018
15 2000442
16 199942
17 19965
18 1992107
19 199250
20 19897

About David R. Patterson

David R. Patterson is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Anesthesiology and Pain Medicine, Pharmacology and Human-Computer Interaction, having authored 197 papers that have together received 9.6k indexed citations. Recurring topics across this work include Pediatric Pain Management Techniques (73 papers), Pain Management and Placebo Effect (72 papers), Burn Injury Management and Outcomes (47 papers), Musculoskeletal pain and rehabilitation (46 papers), Pain Mechanisms and Treatments (15 papers), Virtual Reality Applications and Impacts (12 papers), Disaster Response and Management (12 papers) and Injury Epidemiology and Prevention (12 papers). The work is most often cited by research in Human-Computer Interaction (1.1k citations), Pediatrics, Perinatology and Child Health (3.3k citations), Anesthesiology and Pain Medicine (941 citations), Rehabilitation (1.0k citations) and Cognitive Neuroscience (2.8k citations). David R. Patterson has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Hunter G. Hoffman, Mark P. Jensen, Sam R. Sharar, Gretchen J. Carrougher, Shelley Wiechman, J. T. Ptacek, Thomas A. Furness, G. Leonard Burns, Kent A. Questad and John J. Everett. Their work appears in journals such as International Journal of Clinical and Experimental Hypnosis, Rehabilitation Psychology, Journal of Burn Care & Research, Burns and Pain.

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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