Eric G. Paterson

3.5k citations
74 papers · 2.6k indexed · 1 hit paper · h-index 22

Eric G. Paterson

74 papers receiving 2.5k citations

Hit Papers

Comprehensive Approach to Verification and Validation of ...6952001202620092017200400600

Peers

Eric G. Paterson
Comparison fields: 5 of 148
  • Computational Mechanics 1.1k
  • Ocean Engineering 697
  • Sensory Systems 206
  • Environmental Engineering 392
  • Aerospace Engineering 571
Replace Huajun Li with:
Huajun Li China
Austin R. Frey United States
R. C. Schroter United Kingdom
Lawrence E. Kinsler United States
Clive Greated United Kingdom
M. Rosenfeld Israel
G. S. Bennett United States
Benjamin Cazzolato Australia
Steven H. Frankel United States
Hao Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Eric G. Paterson

Since Specialization
Citations

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

Fields of papers citing papers by Eric G. Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric G. Paterson. 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 Eric G. Paterson. The network helps show where Eric G. Paterson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Physics-Informed Machine Learning Approach for Augmenting Turbulence Models: A Comprehensive Framework
20182
2
Data-Driven Augmentation of Turbulence Models with Physics-Informed Machine Learning
20184
3
Effects of depth on added mass obtained from virtual PMM tests of a submerged prolate spheroid
20174
4 20173
5 20159
6
Two Key Discoveries on Atmospheric Turbulent Wind Forcing of Nonsteady Wind Turbine Loadings, from HPC
20141
7 201427
8 20149
9 20148
10
A ``Cyber Wind Facility'' for HPC Wind Turbine Field Experiments
20131
11 201255
12 201217
13
Inherent Variability in Short-time Wind Turbine Statistics from Turbulence Structure in the Atmospheric Surface Layer
20113
14 201024
15 200924
16 200732
17 2007133
18
A Summary of the 2006 Overset Symposium on Composite Grids and Solution Technology
20061
19 200011
20 19992

About Eric G. Paterson

Eric G. Paterson is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (17 papers), Wind and Air Flow Studies (15 papers), Wind Energy Research and Development (11 papers), Mechanical Circulatory Support Devices (11 papers), Aerodynamics and Fluid Dynamics Research (10 papers), Computational Fluid Dynamics and Aerodynamics (10 papers), Fluid Dynamics Simulations and Interactions (9 papers) and Fluid Dynamics and Vibration Analysis (8 papers). The work is most often cited by research in Computational Mechanics (1.1k citations), Ocean Engineering (697 citations) and Sensory Systems (206 citations). Eric G. Paterson has collaborated with scholars based in United States, Qatar and Australia. Frequent co-authors include Fred Stern, Robert V. Wilson, Hugh W. Coleman, Gary S. Settles, Brent A. Craven, Keefe B. Manning, Steven Deutsch, Robert L. Campbell, David A. Boger and Varun Reddy.

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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