Jeff Borggaard

2.9k total citations
127 papers, 2.0k citations indexed

About

Jeff Borggaard is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jeff Borggaard has authored 127 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computational Mechanics, 50 papers in Statistical and Nonlinear Physics and 46 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jeff Borggaard's work include Model Reduction and Neural Networks (50 papers), Probabilistic and Robust Engineering Design (46 papers) and Computational Fluid Dynamics and Aerodynamics (42 papers). Jeff Borggaard is often cited by papers focused on Model Reduction and Neural Networks (50 papers), Probabilistic and Robust Engineering Design (46 papers) and Computational Fluid Dynamics and Aerodynamics (42 papers). Jeff Borggaard collaborates with scholars based in United States, Canada and Pakistan. Jeff Borggaard's co-authors include Imran Akhtar, John A. Burns, Traian Iliescu, Zhu Wang, É. Turgeon, D. Pelletier, Alexander Hay, Dominique Pelletier, Dominique Pelletier and Eugene M. Cliff and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Energy.

In The Last Decade

Jeff Borggaard

124 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Borggaard United States 24 1.3k 983 656 252 215 127 2.0k
D.B.P. Huynh United States 16 854 0.6× 1.3k 1.3× 643 1.0× 150 0.6× 186 0.9× 22 1.8k
Kevin Carlberg United States 18 850 0.6× 1.5k 1.5× 656 1.0× 159 0.6× 88 0.4× 33 1.7k
Saifon Chaturantabut Thailand 6 719 0.5× 1.4k 1.4× 569 0.9× 203 0.8× 102 0.5× 15 1.7k
S. S. Ravindran United States 15 881 0.7× 711 0.7× 217 0.3× 214 0.8× 181 0.8× 54 1.3k
David Amsallem United States 20 1.2k 0.9× 2.1k 2.2× 1.1k 1.7× 343 1.4× 142 0.7× 35 2.7k
Stefan Volkwein Germany 23 1.2k 0.9× 1.8k 1.8× 801 1.2× 434 1.7× 235 1.1× 88 2.4k
Karen Veroy Germany 14 738 0.5× 1.0k 1.1× 457 0.7× 83 0.3× 115 0.5× 49 1.3k
John Burkardt United States 20 433 0.3× 335 0.3× 409 0.6× 137 0.5× 318 1.5× 38 1.4k
Julien Cortial France 8 499 0.4× 820 0.8× 401 0.6× 139 0.6× 120 0.6× 16 1.1k
Xiaoliang Wan United States 18 430 0.3× 563 0.6× 1.3k 2.0× 98 0.4× 361 1.7× 50 1.8k

Countries citing papers authored by Jeff Borggaard

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Borggaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Borggaard. 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 Jeff Borggaard. The network helps show where Jeff Borggaard may publish in the future.

Co-authorship network of co-authors of Jeff Borggaard

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Borggaard. A scholar is included among the top collaborators of Jeff Borggaard 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 Jeff Borggaard. Jeff Borggaard 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.
Borggaard, Jeff, et al.. (2023). A statistical framework for domain shape estimation in Stokes flows. Inverse Problems. 39(8). 85009–85009. 2 indexed citations
2.
Koga, Shumon, Mouhacine Benosman, & Jeff Borggaard. (2021). Extremum seeking‐based observer design for reduced order models of coupled thermal and fluid systems. International Journal of Adaptive Control and Signal Processing. 35(7). 1316–1335. 1 indexed citations
3.
Borggaard, Jeff, et al.. (2019). GPU-accelerated particle methods for evaluation of sparse observations for inverse problems constrained by diffusion PDEs. Journal of Computational Physics. 391. 142–154. 1 indexed citations
4.
Benosman, Mouhacine & Jeff Borggaard. (2019). Robust Nonlinear State Estimation for Thermal-Fluid Models Using Reduced-Order Models: The Case of the Boussinesq Equations. 2157–2162s. 3 indexed citations
5.
Benosman, Mouhacine & Jeff Borggaard. (2019). Robust nonlinear state estimation for a class of infinite-dimensional systems using reduced-order models. International Journal of Control. 94(5). 1309–1320. 5 indexed citations
6.
Borggaard, Jeff, et al.. (2017). Thermal morphing anisogrid smart space structures part 2: Ranking of geometric parameter importance, trust region optimization, and performance evaluation. Journal of Vibration and Control. 24(13). 2873–2893. 7 indexed citations
7.
Borggaard, Jeff, et al.. (2016). A goal-oriented reduced-order modeling approach for nonlinear systems. Computers & Mathematics with Applications. 71(11). 2155–2169. 9 indexed citations
8.
Borggaard, Jeff, et al.. (2013). Sensitivity and uncertainty quantification of random distributed parameter systems. Journal | MESA. 4(2). 117–129. 1 indexed citations
9.
Burbey, Thomas J., et al.. (2013). A New Zonation Algorithm with Parameter Estimation Using Hydraulic Head and Subsidence Observations. Ground Water. 52(4). 514–524. 7 indexed citations
10.
Hay, Alexander, Imran Akhtar, & Jeff Borggaard. (2011). On the use of sensitivity analysis in model reduction to predict flows for varying inflow conditions. International Journal for Numerical Methods in Fluids. 68(1). 122–134. 21 indexed citations
11.
Borggaard, Jeff, et al.. (2010). Linear feedback control of a von Kármán street by cylinder rotation. 5674–5681. 1 indexed citations
12.
Borggaard, Jeff, Traian Iliescu, & Zhu Wang. (2010). Artificial viscosity proper orthogonal decomposition. Mathematical and Computer Modelling. 53(1-2). 269–279. 45 indexed citations
13.
Borggaard, Jeff, Traian Iliescu, & John Paul Roop. (2008). An improved penalty method for power-law Stokes problems. Journal of Computational and Applied Mathematics. 223(2). 646–658. 5 indexed citations
14.
Borggaard, Jeff, et al.. (2008). A Two-Level Discretization Method for the Smagorinsky Model. Multiscale Modeling and Simulation. 7(2). 599–621. 22 indexed citations
15.
Beattie, Christopher, Jeff Borggaard, Serkan Gugercin, & Traian Iliescu. (2006). A Domain Decomposition Approach to POD. 6750–6756. 14 indexed citations
16.
Demetriou, Michael A. & Jeff Borggaard. (2005). Design of worst spatial distribution of disturbances for a class of parabolic partial differential equations. 21. 3894–3899. 7 indexed citations
17.
Turgeon, É., D. Pelletier, & Jeff Borggaard. (2004). A General Continuous Sensitivity Equation Formulation for the k - ε Model of Turbulence. International journal of computational fluid dynamics. 18(1). 29–46. 21 indexed citations
18.
Borggaard, Jeff, et al.. (2004). Computational Challenges in Control of Partial Differential Equations. 6 indexed citations
19.
Borggaard, Jeff, Dominique Pelletier, & Christoph Winter. (2003). Second-Order Sensitivity Analysis for Conjugate Phase Change Problems. 41st Aerospace Sciences Meeting and Exhibit.
20.
Atwell, Jeanne A., Jeff Borggaard, & B.B. King. (2001). Reduced order controllers for Burgers' equation with a nonlinear observer. International Journal of Applied Mathematics and Computer Science. 11(6). 1311–1330. 56 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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