Jeff Borggaard
- Computational Mechanics top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Imran AkhtarJohn A. BurnsTraian IliescuZhu WangÉ. TurgeonD. PelletierAlexander HayDominique Pelletier
- Topics
- Model Reduction and Neural Networks (50 papers)Probabilistic and Robust Engineering Design (46 papers)Computational Fluid Dynamics and Aerodynamics (42 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistical and Nonlinear PhysicsComputational Mechanics
- Partner nations
- United StatesCanadaPakistan
In The Last Decade
Jeff Borggaard
124 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 83
- Computational Mechanics 1.3k
- Statistical and Nonlinear Physics 983
- Statistics, Probability and Uncertainty 656
- Control and Systems Engineering 252
- Computational Theory and Mathematics 215
Countries citing papers authored by Jeff Borggaard
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | Sensitivity and uncertainty quantification of random distributed parameter systems | 1 |
| 9 | 7 | |
| 10 | 21 | |
| 11 | Linear feedback control of a von Kármán street by cylinder rotation | 1 |
| 12 | 45 | |
| 13 | 5 | |
| 14 | 22 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | 21 | |
| 18 | 6 | |
| 19 | 0 | |
| 20 | Reduced order controllers for Burgers' equation with a nonlinear observer | 56 |
About Jeff Borggaard
Jeff Borggaard is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Computational Mechanics, having authored 127 papers that have together received 2.0k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (50 papers), Probabilistic and Robust Engineering Design (46 papers) and Computational Fluid Dynamics and Aerodynamics (42 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (656 citations), Statistical and Nonlinear Physics (983 citations) and Computational Mechanics (1.3k citations). Jeff Borggaard has collaborated with scholars based in United States, Canada and Pakistan. Frequent 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. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Energy.
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.