Eric G. Paterson

3.5k total citations · 1 hit paper
74 papers, 2.6k citations indexed

About

Eric G. Paterson is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Eric G. Paterson has authored 74 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Mechanics, 27 papers in Aerospace Engineering and 17 papers in Environmental Engineering. Recurrent topics in Eric G. Paterson's work include Fluid Dynamics and Turbulent Flows (17 papers), Wind and Air Flow Studies (15 papers) and Wind Energy Research and Development (11 papers). Eric G. Paterson is often cited by papers focused on Fluid Dynamics and Turbulent Flows (17 papers), Wind and Air Flow Studies (15 papers) and Wind Energy Research and Development (11 papers). Eric G. Paterson collaborates with scholars based in United States, Qatar and Australia. Eric G. Paterson's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Royal Society Interface and Journal of Biomechanical Engineering.

In The Last Decade

Eric G. Paterson

74 papers receiving 2.5k citations

Hit Papers

Comprehensive Approach to Verification and Validation of ... 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric G. Paterson United States 22 1.1k 697 571 470 392 74 2.6k
R. C. Schroter United Kingdom 39 673 0.6× 244 0.4× 219 0.4× 698 1.5× 132 0.3× 114 5.9k
M. Rosenfeld Israel 23 789 0.7× 84 0.1× 301 0.5× 355 0.8× 101 0.3× 106 2.1k
Benjamin Cazzolato Australia 34 1.3k 1.2× 868 1.2× 1.1k 1.9× 1.0k 2.2× 381 1.0× 281 4.2k
Steven H. Frankel United States 29 1.9k 1.7× 143 0.2× 680 1.2× 580 1.2× 303 0.8× 149 3.4k
Maurizio Quadrio Italy 24 1.8k 1.6× 204 0.3× 505 0.9× 125 0.3× 428 1.1× 83 2.1k
Austin R. Frey United States 5 535 0.5× 332 0.5× 643 1.1× 1.7k 3.7× 124 0.3× 5 3.9k
Lawrence E. Kinsler United States 6 545 0.5× 340 0.5× 661 1.2× 1.8k 3.8× 132 0.3× 6 4.0k
Clive Greated United Kingdom 26 1.3k 1.2× 394 0.6× 443 0.8× 399 0.8× 163 0.4× 145 2.3k
Denis Doorly United Kingdom 23 469 0.4× 132 0.2× 217 0.4× 198 0.4× 68 0.2× 76 1.9k
Saša Kenjereš Netherlands 31 1.6k 1.5× 153 0.2× 446 0.8× 862 1.8× 580 1.5× 157 3.1k

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 of co-authors of Eric G. Paterson

This figure shows the co-authorship network connecting the top 25 collaborators of Eric G. Paterson. A scholar is included among the top collaborators of Eric G. Paterson 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 Eric G. Paterson. Eric G. Paterson 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
1.
Xiao, Heng, Jinlong Wu, Jianxun Wang, & Eric G. Paterson. (2018). Physics-Informed Machine Learning Approach for Augmenting Turbulence Models: A Comprehensive Framework. Bulletin of the American Physical Society. 2 indexed citations
2.
Wu, Jinlong, Heng Xiao, & Eric G. Paterson. (2018). Data-Driven Augmentation of Turbulence Models with Physics-Informed Machine Learning. 4 indexed citations
3.
Paterson, Eric G., et al.. (2017). Effects of depth on added mass obtained from virtual PMM tests of a submerged prolate spheroid. 4 indexed citations
5.
Paterson, Eric G., et al.. (2015). A study of wave forces on an offshore platform by direct CFD and Morison equation. SHILAP Revista de lepidopterología. 5. 4002–4002. 9 indexed citations
6.
Brasseur, James G., et al.. (2014). Two Key Discoveries on Atmospheric Turbulent Wind Forcing of Nonsteady Wind Turbine Loadings, from HPC. Bulletin of the American Physical Society. 1 indexed citations
7.
Navitsky, Michael, Richard B. Medvitz, Eric G. Paterson, et al.. (2014). The Use of Fluid Mechanics to Predict Regions of Microscopic Thrombus Formation in Pulsatile VADs. Cardiovascular Engineering and Technology. 5(1). 54–69. 27 indexed citations
8.
Boger, David A. & Eric G. Paterson. (2014). A continuous adjoint approach to design optimization in cavitating flow using a barotropic model. Computers & Fluids. 101. 155–169. 9 indexed citations
9.
Vijayakumar, Ganesh, Brent A. Craven, Balaji Jayaraman, et al.. (2014). Towards a Blade-Resolved Hybrid URANS-LES of the NREL 5-MW Wind Turbine Rotor within Large Eddy Simulation of the Atmospheric Boundary Layer. 8 indexed citations
10.
Brasseur, James G., Eric G. Paterson, Sven Schmitz, et al.. (2013). A ``Cyber Wind Facility'' for HPC Wind Turbine Field Experiments. Bulletin of the American Physical Society. 2013. 1 indexed citations
11.
Lawson, Michael, Brent A. Craven, Eric G. Paterson, & Gary S. Settles. (2012). A Computational Study of Odorant Transport and Deposition in the Canine Nasal Cavity: Implications for Olfaction. Chemical Senses. 37(6). 553–566. 55 indexed citations
12.
Lindau, Jules W., et al.. (2012). Modeling of Cavitating Flow through Waterjet Propulsors. International Journal of Rotating Machinery. 2012. 1–13. 17 indexed citations
13.
Vijayakumar, Ganesh, et al.. (2011). Inherent Variability in Short-time Wind Turbine Statistics from Turbulence Structure in the Atmospheric Surface Layer. Bulletin of the American Physical Society. 3 indexed citations
14.
Medvitz, Richard B., et al.. (2010). Computational Fluid Dynamics Design and Analysis of a Passively Suspended Tesla Pump Left Ventricular Assist Device. Artificial Organs. 35(5). 522–533. 24 indexed citations
15.
Weiss, Jason, Eric G. Paterson, Alan J. Snyder, et al.. (2009). A Passively Suspended Tesla Pump Left Ventricular Assist Device. ASAIO Journal. 55(6). 556–561. 24 indexed citations
16.
Medvitz, Richard B., et al.. (2007). Development and Validation of a Computational Fluid Dynamics Methodology for Simulation of Pulsatile Left Ventricular Assist Devices. ASAIO Journal. 53(2). 122–131. 32 indexed citations
17.
Craven, Brent A., Thomas Neuberger, Eric G. Paterson, et al.. (2007). Reconstruction and Morphometric Analysis of the Nasal Airway of the Dog (Canis familiaris) and Implications Regarding Olfactory Airflow. The Anatomical Record. 290(11). 1325–1340. 133 indexed citations
18.
Paterson, Eric G., et al.. (2006). A Summary of the 2006 Overset Symposium on Composite Grids and Solution Technology. Defense Technical Information Center (DTIC). 1 indexed citations
19.
Paterson, Eric G., et al.. (2000). CFD Calculation of Sinkage and Trim. Journal of Ship Research. 44(1). 59–82. 11 indexed citations
20.
Paterson, Eric G. & Fred Stern. (1999). Computation of Unsteady Viscous Marine-Propulsor Blade Flows—Part 2: Parametric Study. Journal of Fluids Engineering. 121(1). 139–147. 2 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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