George W. Patrick

1.3k citations
32 papers · 785 · h-index 15

Impact in

Papers in

George W. Patrick

30 papers receiving 729 citations

Peers

George W. Patrick
Comparison fields: 5 of 91
  • Numerical Analysis 406
  • Statistical and Nonlinear Physics 319
  • Computational Mechanics 237
  • Neurology 69
  • Mathematical Physics 55
Replace Tanya Schmah with:
Tanya Schmah Canada
L. C. W. Dixon United Kingdom
W. T. Kyner United States
Hiroki Tanabe Japan
Angelo Miele United States
C. Cattaneo Italy
Michael E. Taylor United States
Leonid Kalachev United States
Jane Cronin United States
Walter Schempp Germany
George W. Patrick relative to Tanya Schmah Canada Tanya Schmah's profile →
Citations per field
00.5×10×13.5×
Tanya Schmah · 1×
Citations per year

Countries citing papers authored by George W. Patrick

Since Specialization
Citations

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

Fields of papers citing papers by George W. Patrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George W. Patrick. 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 George W. Patrick. The network helps show where George W. Patrick may publish in the future.

Co-authors

The 16 scholars most cited alongside George W. Patrick, 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 George W. Patrick Line = papers co-authored together George W. Patrick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998378
2 199655
3 199253
4 198126
5 198324
6 199524
7 200922
8 201521
9 200020
10 199619
11
The Improved Performance of Home Grown Timber Glulam Beams Using Fibre Reinforcement
200117
12 198215
13 200415
14 199514
15 198714
16 20009
17 20158
18 19848
19 20096
20 20076

About George W. Patrick

George W. Patrick is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Computational Theory and Mathematics, Astronomy and Astrophysics and Neurology, having authored 32 papers that have together received 785 indexed citations. Recurring topics across this work include Numerical methods for differential equations (9 papers), Quantum chaos and dynamical systems (6 papers), Model Reduction and Neural Networks (5 papers), Black Holes and Theoretical Physics (4 papers), Modeling and Simulation Systems (4 papers), Vestibular and auditory disorders (4 papers), Nonlinear Waves and Solitons (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). The work is most often cited by research in Numerical Analysis (406 citations), Statistical and Nonlinear Physics (319 citations), Computational Mechanics (237 citations), Neurology (69 citations) and Mathematical Physics (55 citations). George W. Patrick has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jerrold E. Marsden, Steve Shkoller, Duane E. Haines, W. J. Anderson, Benedict Leimkuhler, Tudor S. Raţiu, Dong Eui Chang, Darryl D. Holm, Claudia Wulff and Mark Roberts. Their work appears in journals such as Journal of Nonlinear Science, The Journal of Comparative Neurology, Developmental Neuroscience, Nonlinearity and Journal of Geometry and Physics.

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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